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99 results on '"Yao, Yiyu"'

1. Granular Approximations of Partially-Known Concepts

Author

Li, Qiaoyi, Shi, Chengjun, Yang, Han, Yao, Yiyu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hu, Mengjun, editor, Cornelis, Chris, editor, Zhang, Yan, editor, Lingras, Pawan, editor, Ślęzak, Dominik, editor, and Yao, JingTao, editor

Published
2024
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4. Cognitive and Social Decision Making: Three-Way Decision Perspectives

Author

Yao, Yiyu, Yao, JingTao, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Campagner, Andrea, editor, Urs Lenz, Oliver, editor, Xia, Shuyin, editor, Ślęzak, Dominik, editor, Wąs, Jarosław, editor, and Yao, JingTao, editor

Published
2023
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6. Multiple Representations of Web Content for Effective Knowledge Utilization

Author

Yao, Yiyu, Petty, Sheila, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Zanzotto, Fabio Massimo, editor, Tsumoto, Shusaku, editor, Taatgen, Niels, editor, and Yao, Yiyu, editor

Published
2012
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7. Perspectives on Denotational Mathematics: New Means of Thought

Author

Wang, Yingxu, Yao, Yiyu, Wang, Guoyin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Gavrilova, Marina L., editor, Tan, C. J. Kenneth, editor, Wang, Yingxu, editor, Yao, Yiyu, editor, and Wang, Guoyin, editor

Published
2008
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8. Web Intelligence Meets Brain Informatics

Author

Zhong, Ning, Liu, Jiming, Yao, Yiyu, Wu, Jinglong, Lu, Shengfu, Qin, Yulin, Li, Kuncheng, Wah, Benjamin, Carbonell, Jaime G., editor, Siekmann, J\'org, editor, Zhong, Ning, editor, Liu, Jiming, editor, Yao, Yiyu, editor, Wu, Jinglong, editor, Lu, Shengfu, editor, and Li, Kuncheng, editor

Published
2007
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9. Granular Computing and Sequential Three-Way Decisions

Author

Yao, Yiyu, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Lingras, Pawan, editor, Wolski, Marcin, editor, Cornelis, Chris, editor, Mitra, Sushmita, editor, and Wasilewski, Piotr, editor

Published
2013
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10. Granular State Space Search

Author

Luo, Jigang, Yao, Yiyu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Butz, Cory, editor, and Lingras, Pawan, editor

Published
2011
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12. A Categorial Basis for Granular Computing

Author

Banerjee, Mohua, Yao, Yiyu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, An, Aijun, editor, Stefanowski, Jerzy, editor, Ramanna, Sheela, editor, Butz, Cory J., editor, Pedrycz, Witold, editor, and Wang, Guoyin, editor

Published
2007
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13. Supporting Literature Exploration with Granular Knowledge Structures

Author

Yao, Yiyu, Zeng, Yi, Zhong, Ning, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, An, Aijun, editor, Stefanowski, Jerzy, editor, Ramanna, Sheela, editor, Butz, Cory J., editor, Pedrycz, Witold, editor, and Wang, Guoyin, editor

Published
2007
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14. A Partition Model of Granular Computing

Author

Yao, Yiyu, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Peters, James F., editor, Skowron, Andrzej, editor, Grzymała-Busse, Jerzy W., editor, Kostek, Bożena, editor, Świniarski, Roman W., editor, and Szczuka, Marcin S., editor

Published
2004
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16. A trilevel analysis of uncertainty measuresin partition-based granular computing.

Author

Wang, Baoli, Liang, Jiye, and Yao, Yiyu

Subjects
GRANULAR computing
Abstract

Uncertainty measure is one of the most significant concepts and fundamental issues in granular computing. Nowadays, there have been extensive studies on various uncertainty measures for quantifying diverse properties and associations of granules and granular structures. However, there is a lack of a systematic study for uncertain measures. Based on a trilevel thinking framework, this paper presents a systematic review and analysis of uncertainty measures used in partition-based models of granular computing. At an object level, a granule level and a granular structure level, we categorize uncertainty measures for describing the properties and the associations of objects, granules, and partitions respectively. Moreover, we illustrate how to construct an uncertainty measure at a higher level from a lower level. At last, we discuss several potential directions to design other new uncertainty measures for partition-based granular computing. [ABSTRACT FROM AUTHOR]

Published
2023
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17. Towards the definition of spatial granules.

Author

Zhao, Liquan and Yao, Yiyu

Subjects
*GRANULAR computing, *DEFINITIONS, *HYPERCUBES
Abstract

Three basic issues of granular computing are construction or definition of granules, measures of granules, and computation or reasoning with granules. This paper reviews the main theories of granular computing and introduces the definition of spatial granules. A granule is composed of one or more atomic granules. The rationality of this definition is explained from the four aspects: simplicity, applicability, measurability and visualization. A one-to-one correspondence is established between the granules and the points in the unit hypercube, and the coarsening and refining of the granules are the descending and ascending dimensions of the points, respectively. The weak fuzzy tolerance relation and weak fuzzy equivalence relation are defined so as to study on all fuzzy binary relations. The notion of layer granularity/fineness is introduced and each granule can be easily denoted by two numbers, which can be used to pre-process macro knowledge space and greatly improve the search speed. This paper also discusses the main properties of granules including the necessary and sufficient conditions of coarse-fine relation and the main principles of granular space. • Introduce the definition of spatial granules and explain its rationality. • Define coarse-fine relation and all the granules can be hierarchicalized. • Adopt a one-to-one mapping between the granules and the points. • Discuss the main properties of spatial granules. • Layer granularity/fineness is used to pre-process macro knowledge space. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Symbols-Meaning-Value (SMV) space as a basis for a conceptual model of data science.

Author

Yao, Yiyu

Subjects
*DATA science, *CONCEPTUAL models, *DATA modeling, *SCIENTIFIC models, *INFORMATION science
Abstract

By applying the principles of three-way decision as thinking in threes, in this paper I introduce a conceptual model of data science in three steps. First, I examine examples of triadic thinking in general and trilevel thinking in specific in data science. Then, based on Weaver's trilevel categorization of communications problems, I propose the concept of the symbols-meaning-value (SMV) space and discuss three perspectives on the SMV space from the viewpoints of information science and management science, cognitive science, and computer science. I label the operations on the SMV three levels metaphorically as seeing, knowing, and doing. Finally, I put forward a SMV-space-based conceptual model of data science, in which data are a resource, the power of data is the knowledge embedded in data, and the value of data is the wise decision and the best course of action supported by data. The goals and functions of data science at the SMV three levels are, respectively, making data available, making data meaningful, and making data valuable. To demonstrate the potential contributions of the conceptual model, I comment on some of its practical values and implications. [ABSTRACT FROM AUTHOR]

Published
2022
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19. Three-way granular computing, rough sets, and formal concept analysis.

Author

Yao, Yiyu

Subjects
*GRANULAR computing, *ROUGH sets, *INFORMATION processing, *CONCEPTS, *HEXAGONS
Abstract

Three-way granular computing is a paradigm of thinking and information processing in three granules. We introduce a framework of three-way granular computing based on a hexagon induced by a trisection of a set. This enables us to unify rough-set concept analysis and formal concept analysis. For an object granule (i.e., a subset of a universal set of objects), we construct three attribute granules. Conversely, for an attribute granule (i.e., a subset of a universal set of attributes), we construct three object granules. Rough-set concept analysis uses one kind of trisections to study four types of disjunctive formal concepts and the associated concept lattices. Formal concept analysis uses another kind of trisections to study four types of conjunctive formal concepts and the associated concept lattices. The eight concept lattices can be grouped into two classes such that four lattices in each class are isomorphic. [ABSTRACT FROM AUTHOR]

Published
2020
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20. Three-way decision and granular computing.

Author

Yao, Yiyu

Subjects
*GRANULAR computing, *DECISION making, *PROBLEM solving, *COGNITIVE science, *INFORMATION processing
Abstract

Abstract Based on results from cognitive science, this paper examines the two fields of three-way decision and granular computing, as well as their interplay. The ideas from one field shed new light on the other field. The integration of the two gives rise to three-way granular computing, that is, thinking, problem solving, and information processing in threes. We discuss a wide sense of three-way decision and propose a trisecting–acting–outcome (TAO) model. We explain fundamental notions of granular computing based on the philosophy of three-way decision as thinking in threes. We discuss a model of three-way granular computing by making use of two particular types of granular structures represented, respectively, by three granules and three levels. We use examples across different disciplines to demonstrate the values of the two types. Our investigation suggests that, in many situations, the power of granular computing is indeed the power of three-way decision, i.e., thinking in threes. Highlights • Discuss a wide sense of three-way decision as thinking in threes. • Propose a TAO (trisecting–acting–outcome) model of three-way decision. • Explore the interplay of three-way decision and granular computing in the context of cognitive science. • Explain granular computing according to a philosophy of thinking in threes. • Illustrate the value of three-way decision by many examples. [ABSTRACT FROM AUTHOR]

Published
2018
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21. Granular Structure of State Space Search

Author

Luo, Jigang and Yao, Yiyu

Subjects
State space search, Granular computing, Hierarchical structure
Abstract

State space search is to find a path from start state to goal state, which is widely used in Artificial Intelligence. A state is a configuration of basic elements of a problem. For example, in chess game every legal chessboard configuration is a state, a state space consists of all the legal chessboard configurations, the start state is the beginning chessboard configuration, the goal state is the chessboard configuration that the opponent is checkmated, the search is to find a sequence of chess moves that from start state to goal state. In our research we use granular computing to construct a hierarchical structure of the state space, so that the search in the state space will be fast. Our idea is that a hierarchical structure can speed up search. For example in a supermarket all the commercial items are categorized hierarchically so that clients can easily find target items, if they want to find a Chinese food they can first search in food category, then search in oriental food category, then search in Chinese food category, then they can easily get their item. We categorize all the states in the state space in the same way so that we can quickly find a path from a start state to a goal state. Student yes

Published
2011

22. Measurement of general granules.

Author

Zhao, Liquan, Yao, Yiyu, and Zhang, Ling

Subjects
*GRANULAR computing, *EQUIVALENCE relations (Set theory), *ENTROPY (Information theory), *MONOTONIC functions, *GRAPH theory
Abstract

The measurement of granules is often considered the most foundational problem in granular computing and it has been studied in many fields but in relative isolation. This paper attempts to explore the measurement for general granules, whether they are granules based on equivalence or general relations, whether they are macrocosmic or microcosmic granules, and whether they are granules on a finite or an infinite set. For a finite set we discuss the measurement of granules corresponding to equivalence relations and introduce definitions of granularity, fineness and granular entropy. In order to distinguish those granules with the same granularity, fineness and granular entropy we present conditional granularity, conditional fineness and conditional granular entropy and obtain the necessary and sufficient condition which can judge one granule as coarser or finer than another. While the conditional granularity is a subsethood measure which satisfies monotonic properties. What’s more, we introduce relation matrix to measure the granules, and it not only can be easily generalized to measure the granules on general relations but also connects granular computing to graph theory. For an infinite set we can define different granularities in different questions, but we suggest the basic idea of granularity, that is, the granularity of a granule is the sum of the relative information contents of its atomic granules. [ABSTRACT FROM AUTHOR]

Published
2017
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23. Tri-level attribute reduction in rough set theory.

Author

Zhang, Xianyong and Yao, Yiyu

Subjects
*ROUGH sets, *GRANULAR computing, *DATA analysis
Abstract

Attribute reduction serves as a pivotal topic of rough set theory for data analysis. The ideas of tri-level thinking from three-way decision can shed new light on three-level attribute reduction. Existing classification-specific and class-specific attribute reducts consider only macro-top and meso-middle levels. This paper introduces a micro-bottom level of object-specific reducts. The existing two types of reducts apply to the global classification with all objects and a local class with partial objects, respectively. The new type applies to an individual object. These three types of reducts constitute tri-level attribute reducts. Their development and hierarchy are worthy of systematical explorations. Firstly, object-specific reducts are defined by object consistency from dependency, and they improve both classification-specific and class-specific reducts. Secondly, tri-level reducts are unified by tri-level consistency. Hierarchical relationships between object-specific reducts and class-specific, classification-specific reducts are analyzed, and relevant connections of three-way classifications of attributes are given. Finally, tri-level reducts are systematically analyzed, and two approaches, i.e., the direct calculation and hierarchical transition, are suggested for constructing a specific reduct. We build a framework of tri-level thinking and analysis of attribute reduction to enrich three-way granular computing. Tri-level reducts lead to the sequential development and hierarchical deepening of attribute reduction, and their results profit intelligence processing and system reasoning. • Object-specific attribute reducts are proposed by object consistency from dependency. • Object-specific reducts improve classification-specific and class-specific reducts. • Tri-level attribute reducts present both series development and hierarchy deepening. • Tri-level reducts gain hierarchical relationships and transitions, direct calculations. • Tri-level thinking and analysis of attribute reduction enrich three-way Gr-Computing. [ABSTRACT FROM AUTHOR]

Published
2022
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24. Set-theoretic Approaches to Granular Computing.

Author

Yao, Yiyu, Zhang, Nan, Miao, Duoqian, and Xu, Feifei

Subjects
*GRANULAR computing, *ROUGH sets, *SET theory, *APPROXIMATION theory, *LATTICE theory, *TOPOLOGICAL spaces
Abstract

A framework is proposed for studying a particular class of set-theoretic approaches to granular computing. A granule is a subset of a universal set, a granular structure is a family of subsets of the universal set, and relationship between granules is given by the standard set-inclusion relation. By imposing different conditions on the family of subsets, we can define several types of granular structures. A number of studies, including rough set analysis, formal concept analysis and knowledge spaces, adopt specific models of granular structures. The proposed framework therefore provides a common ground for unifying these studies. The notion of approximations is examined based on granular structures. [ABSTRACT FROM AUTHOR]

Published
2012
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25. Dominance-Based Rough Sets Using Indexed Blocks as Granules.

Author

Grzymala-Busse, Jerzy W., Yao, Yiyu, Ziarko, Wojciech, Chan, Chien-Chung, and Tzeng, Gwo-Hshiung

Subjects
*ROUGH sets, *CLASSIFICATION, *EQUIVALENCE relations (Set theory), *APPROXIMATION theory, *INFORMATION technology, *DECISION making, *PARTITIONS (Mathematics)
Abstract

Dominance-based rough set introduced by Greco et al. is an extension of Pawlak¡s classical rough set theory by using dominance relations in place of equivalence relations for approximating sets of preference ordered decision classes satisfying upward and downward union properties. This paper introduces the concept of indexed blocks for representing dominance-based approximation spaces. Indexed blocks are sets of objects indexed by pairs of decision values. In our study, inconsistent information is represented by exclusive neighborhoods of indexed blocks. They are used to define approximations of decision classes. It turns out that a set of indexed blocks with exclusive neighborhoods forms a partition on the universe of objects. Sequential rules for updating indexed blocks incrementally are considered and illustrated with examples. [ABSTRACT FROM AUTHOR]

Published
2009

26. A multiview approach for intelligent data analysis based on data operators

Author

Chen, Yaohua and Yao, Yiyu

Subjects
*INFORMATION science, *SCIENCE, *INFORMATION theory, *SCIENTIFIC knowledge
Abstract

Abstract: Multiview intelligent data analysis explores data from different perspectives to reveal various types of structures and knowledge embedded in the data. Each view may capture a specific aspect of the data and hence satisfy the needs of a particular group of users. Collectively, multiple views provide a comprehensive description and understanding of the data. In this paper, we propose a multiview framework of intelligent data analysis based on modal-style data operators. The classes of the data operators include basic set assignment, sufficiency, dual sufficiency, necessity and possibility operators. They demonstrate various types of data relationships and characterize various features and granulated views of the data. It is shown that different structures of the data can also be constructed based on the different data operators. [Copyright &y& Elsevier]

Published
2008
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27. Concept-cognitive learning survey: Mining and fusing knowledge from data.

Author

Guo, Doudou, Xu, Weihua, Ding, Weiping, Yao, Yiyu, Wang, Xizhao, Pedrycz, Witold, and Qian, Yuhua

Subjects
*COGNITIVE learning, *ARTIFICIAL intelligence, *COGNITIVE computing, *EVIDENCE gaps, *GRANULAR computing
Abstract

Concept-cognitive learning (CCL), an emerging intelligence learning paradigm, has recently become a popular research subject in artificial intelligence and cognitive computing. A central notion of CCL is cognitive and learning things via concepts. In this process, concepts play a fundamental role when mining and fusing knowledge from data to wisdom. With the in-depth research and expansion of CCL in scopes, goals, and methodologies, some difficulties have gradually emerged, including some vague terminology, ambiguous views, and scattered research. Hence, a systematic and comprehensive review of the development process and advanced research about CCL is particularly necessary at the moment. This paper summarizes the theoretical significance, application value, and future development potential of CCL. More importantly, by synthesizing the reviewed related research, we can acquire some interesting results and answer three essential questions: (1) why examine a cognitive and learning framework based on concept? (2) what is the concept-cognitive learning? (3) how to make concept-cognitive learning? The findings of this work could act as a valuable guide for related studies in quest of a clear understanding of the closely related research issues around concept-cognitive learning. • It is the first paper that attempts to provide an in-depth analysis of the advancement of CCL. • It is a multi-view categorization of CCL in research scopes, goals, and methodologies. • It is an elucidation of the main research gaps and suggestions for the related study of CCL. • It acquires some interesting results by synthesizing the reviewed related research of CCL. [ABSTRACT FROM AUTHOR]

Published
2024
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28. MGRS: A multi-granulation rough set

Author

Qian, Yuhua, Liang, Jiye, Yao, Yiyu, and Dang, Chuangyin

Subjects
*ROUGH sets, *MATHEMATICAL models, *APPROXIMATION theory, *BINARY number system, *GRANULAR computing, *SET theory, *ALGORITHMS, *PROBLEM solving, *DECISION making
Abstract

Abstract: The original rough set model was developed by Pawlak, which is mainly concerned with the approximation of sets described by a single binary relation on the universe. In the view of granular computing, the classical rough set theory is established through a single granulation. This paper extends Pawlak’s rough set model to a multi-granulation rough set model (MGRS), where the set approximations are defined by using multi equivalence relations on the universe. A number of important properties of MGRS are obtained. It is shown that some of the properties of Pawlak’s rough set theory are special instances of those of MGRS. Moreover, several important measures, such as accuracy measure , quality of approximation and precision of approximation , are presented, which are re-interpreted in terms of a classic measure based on sets, the Marczewski–Steinhaus metric and the inclusion degree measure. A concept of approximation reduct is introduced to describe the smallest attribute subset that preserves the lower approximation and upper approximation of all decision classes in MGRS as well. Finally, we discuss how to extract decision rules using MGRS. Unlike the decision rules (“AND” rules) from Pawlak’s rough set model, the form of decision rules in MGRS is “OR”. Several pivotal algorithms are also designed, which are helpful for applying this theory to practical issues. The multi-granulation rough set model provides an effective approach for problem solving in the context of multi granulations. [Copyright &y& Elsevier]

Published
2010
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32. Sequential Three-Way Decisions in Efficient Classification of Piecewise Stationary SpeechSignals

Author

Savchenko, Andrey V., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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33. On Mereology as a Tool in Problems of Intelligent Control, Granular Computing, Data Analysis and Approximate and Spatial Reasoning

Author

Polkowski, Lech, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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34. Optimal Scale Selections in Consistent Generalized Multi-scale Decision Tables

Author

Xu, You-Hong, Wu, Wei-Zhi, Tan, Anhui, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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35. Fractal Analysis Approaches to Granular Computing

Author

Yao, JingTao, Oladimeji, Oladunni A., Zhang, Yan, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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36. A Framework for Analysis of Granular Neural Networks

Author

Skirzyński, Julian, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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37. Data-Driven Granular Cognitive Computing

Author

Wang, Guoyin, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Artiemjew, Piotr, editor, Ciucci, Davide, editor, Liu, Dun, editor, Ślęzak, Dominik, editor, and Zielosko, Beata, editor

Published
2017
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38. Multigranulation Rough Sets in Hesitant Fuzzy Linguistic Information Systems

Author

Zhang, Chao, Li, De-Yu, Zhai, Yan-Hui, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Flores, Víctor, editor, Gomide, Fernando, editor, Janusz, Andrzej, editor, Meneses, Claudio, editor, Miao, Duoqian, editor, Peters, Georg, editor, Ślęzak, Dominik, editor, Wang, Guoyin, editor, Weber, Richard, editor, and Yao, Yiyu, editor

Published
2016
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39. Rough Sets of Zdzisław Pawlak Give New Life to Old Concepts. A Personal View ....

Author

Polkowski, Lech T., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Flores, Víctor, editor, Gomide, Fernando, editor, Janusz, Andrzej, editor, Meneses, Claudio, editor, Miao, Duoqian, editor, Peters, Georg, editor, Ślęzak, Dominik, editor, Wang, Guoyin, editor, Weber, Richard, editor, and Yao, Yiyu, editor

Published
2016
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40. A Knowledge Acquisition Model Based on Formal Concept Analysis in Complex Information Systems

Author

Kang, Xiangping, Miao, Duoqian, Jiao, Na, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Yao, Yiyu, editor, Hu, Qinghua, editor, Yu, Hong, editor, and Grzymala-Busse, Jerzy W., editor

Published
2015
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41. Knowledge Supported Refinements for Rough Granular Computing: A Case of Life Insurance Industry

Author

Shen, Kao-Yi, Tzeng, Gwo-Hshiung, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Yao, Yiyu, editor, Hu, Qinghua, editor, Yu, Hong, editor, and Grzymala-Busse, Jerzy W., editor

Published
2015
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42. Building Granular Systems - from Concepts to Applications

Author

Szczuka, Marcin, Jankowski, Andrzej, Skowron, Andrzej, Ślęzak, Dominik, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Yao, Yiyu, editor, Hu, Qinghua, editor, Yu, Hong, editor, and Grzymala-Busse, Jerzy W., editor

Published
2015
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43. Connectedness of Graph and Matroid by Covering-Based Rough Sets

Author

Li, Hui, Zhu, William, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Yao, Yiyu, editor, Hu, Qinghua, editor, Yu, Hong, editor, and Grzymala-Busse, Jerzy W., editor

Published
2015
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44. Rough Set Approximations in Multi-scale Interval Information Systems

Author

Gu, Shen-Ming, Wan, Ya-Hong, Wu, Wei-Zhi, Li, Tong-Jun, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Yao, Yiyu, editor, Hu, Qinghua, editor, Yu, Hong, editor, and Grzymala-Busse, Jerzy W., editor

Published
2015
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45. Granular Structures Induced by Interval Sets and Rough Sets

Author

Zhong, Ning, Huang, Jia-jin, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Yao, Yiyu, editor, Hu, Qinghua, editor, Yu, Hong, editor, and Grzymala-Busse, Jerzy W., editor

Published
2015
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46. Tri-granularity attribute reduction of three-way concept lattices.

Author

Wang, Zhen, Shi, Chengjun, Wei, Ling, and Yao, Yiyu

Subjects
*GRANULAR computing, *ALGORITHMS
Abstract

A real-world dataset often generates a huge concept lattice that may be difficult to understand and impractical to use. The principle of granular computing is that we can understand and use a complex whole at multiple levels of granularity. In light of this, we propose a unified tri-granularity model of various types of concept lattices, which allows us to examine a huge concept lattice at three levels of granularity (i.e., the elementary granularity, local granularity and global granularity). Attribute reduction plays a fundamental role in three-way concept analysis, it simplifies the expression of three-way concepts and thus contributes to a better perception of the knowledge in three-way concept lattices. The tri-granularity model suggests an opportunity to investigate the tri-granularity attribute reduction of three-way concept lattices. The existing research on attribute reduction works at the global granularity but pays little attention to the local granularity, or, even less, to the elementary granularity. Driven by these issues, we supply definitions and methods of local granularity and elementary granularity attribute reduction of three-way concept lattices. These newly proposed two levels of attribute reduction with the existing global granularity attribute reduction together provide a framework for the tri-granularity attribute reduction of three-way concept lattices. We further analyze the relationships among the three levels of attribute reduction. Moreover, the efficacy of our suggested approach is illustrated by an example via the trisections induced by three-way concepts. Finally, we design two tri-granularity attribute reduction algorithms whose effectiveness is further examined by numerical experiments. • We propose a unified tri-granularity model of various types of concept lattices. • We investigate the tri-granularity attribute reduction of 3W-concept lattices. • We analyze relationships among these three levels of attribute reduction. • We design algorithms for these three levels of attribute reduction. [ABSTRACT FROM AUTHOR]

Published
2023
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47. The Impacting Analysis on Multiple Species Competition

Author

Yan, Han-Bing, Tang, Xu-Qing, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Ciucci, Davide, editor, Inuiguchi, Masahiro, editor, Yao, Yiyu, editor, Ślęzak, Dominik, editor, and Wang, Guoyin, editor

Published
2013
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48. Rough Set Granularity: Scott Systems Approach

Author

Wolski, Marcin, Gomolińska, Anna, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Ciucci, Davide, editor, Inuiguchi, Masahiro, editor, Yao, Yiyu, editor, Ślęzak, Dominik, editor, and Wang, Guoyin, editor

Published
2013
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49. A Mathematical Theory of Fuzzy Numbers : Granular Computing Approach

Author

Lin, Tsau Young, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Ciucci, Davide, editor, Inuiguchi, Masahiro, editor, Yao, Yiyu, editor, Ślęzak, Dominik, editor, and Wang, Guoyin, editor

Published
2013
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50. Multi-granular Computing in Web Age

Author

Zhang, Bo, Zhang, Ling, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Ciucci, Davide, editor, Inuiguchi, Masahiro, editor, Yao, Yiyu, editor, Ślęzak, Dominik, editor, and Wang, Guoyin, editor

Published
2013
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