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Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the differences in the contribution of feature data to the cluster centers in the clustering algorithm and the sensitivity of the algorithm to the initial cluster centers, this paper proposes a Weighted Knowledge Amountbased Intuitionistic Fuzzy C-means Method（WKAIFCM）. Firstly, this method fuzzed the original dataset intuitionistically and improved the latest intuitionistic fuzzy knowledge measure to calculate the knowledge amount which utilized in the feature weighting of dataset. Secondly, this method initialized the cluster centers to improve the calculation accuracy and clustering efficiency of high-dimensional feature dataset by kernel space density and kernel distance. Finally, based on the principle of sample distance between clusters and the principle of minimum knowledge amount, this method established a clustering optimization model to get the optimal iterative algorithm. The experimental results based on the UCI artificial dataset show that the proposed method can greatly improve the accuracy and iterative efficiency of clustering. The classification accuracy and execution efficiency are increased by 10.63% and 31.75% respectively, and this method has good universality and stability. This paper introduces a new theory of knowledge measure into fuzzy clustering for the first time and gets extraordinary results, which creates a new case for the potential application of this theory in other related fields. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem that the attribute weights and decision-makers’ weights were unknown in the emergency decision-making process of public health emergencies, this paper proposed a Pythagorean fuzzy reductive BM operator decision-making method based on DEMATEL and trust network, which took into account the subjective and objective relationships to ensure the integrity of the emergency assessment system. Firstly, considering the important influence of key factors on the emergency decision-making of public health emergencies, it identified and determined attribute weights by the DEMATEL method, and taking the complex and diverse backgrounds of emergency decision-making as the entry point, it used the trust propagation path to improve the trust relationship and built a hybrid trust network that integrated the initial trust degree and preference similarity to obtain decision-makers’ weights. Secondly, considering the strong correlation between the properties of the emergency assessment, it introduced a Pythagorean fuzzy reductive BM operator based on the improved similarity measure and score function, and calculated the comprehensive evaluation value and the ranking of the plan. Finally, this paper applied the method to the emergency management assessment of sporadic cases in hospitals during the normalization of epidemic prevention and control period. It verifies the reliability and reasonable effectiveness of the method. [ABSTRACT FROM AUTHOR]

Due to the complexity of the actual decision-making problem, most indicators have the characteristics of mutual dependence. Therefore, for the multi-attribute decision-making problem with correlation between indicators under uncertain environment, a decision method with hierarchical structure as the framework and cloud model twofold integral (C-TI) as the aggregation operator is proposed. Firstly, in order to reflect the uncertain thinking of decision makers in determining the index weights, a cloud model fuzzy measure is proposed. Secondly, the cloud model twofold integral operator is constructed on the basis of cloud model fuzzy measure, which takes the cloud model as the representation of decision information, fully reflects the fuzzy and random nature of decision information. And twofold integral combining the advantages of Choquet integral and Sugeno integral is applied to aggregating the index values, which can not only effectively deal with the interaction problem between indexes, but also take into account the focus relationship between the index value and the weight. Subsequently, the theorems and properties of the cloud model twofold integral operator and the variation form of specific conditions are then discussed and the corresponding proofs are given. Finally, a hierarchical multi- attribute decision making method for cloud model twofold integral operator is constructed and applied to the corporate social responsibility assessment problem. Compared with other models, it is further shown that the method constructed in this paper is suitable for dealing with fuzzy and stochastic uncertainty problems and can take into account the overall decision effect while the indicators are correlated. [ABSTRACT FROM AUTHOR]

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The traditional algorithms have the low performance when applied to remote sensing images segmentation. Thus, this paper proposed a segmentation algorithm based on adaptive feature-reduction. Firstly, this algorithm divided the source image into super-pixels as the basic operation object. Then, it extracted the color, texture, edge and spatial features of images and used weighted pixel values to calculate the features of super-pixels. Furthermore, it added the fuzzy separation measure into the FRFCM model to construct own segmentation model. This model can automatically select useful features. Finally, this paper got the final segmentation result based on optimizing the segmentation model. Experiments on remote sensing images prove that this proposed algorithm has superior performance in terms of segmentation accuracy, running time and eliminate noise effects. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To extend the mathematical morphology for grayscale image to its alterative for color image, this paper proposed a color mathematical morphology based on fuzzy similarity defined on RGB color vector space. Firstly, in RGB color space, it defined the fuzzy similarity measure, which was consistent with the human visual perception, by using the distance and angle between two vectors to describe the similarity degree between the two colors. It defined the upper and lower bound functions in a collection of colors from in RGB color space by their similarity measures, and formulated the basic operations of the color mathematical morphology by using the upper and lower bounds for any pixel and its neighbor pixels within the structural unit centered the pixel, including dilation, erosion, opening and closing operations. This paper applied the proposed color morphological operations to the high resolution remote sensing images, and verified the deformation and smoothing ability to objects by comparing experiment, and explained its practicability and validity. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Drainage & Irrigation Machinery Engineering / Paiguan Jixie Gongcheng Xuebao is the property of Editorial Department of Drainage & Irrigation Machinery Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The best closing phase angle of AC contactor is ascertained based on multi-level fuzzy comprehensive theory. A database containing 21 dynamic parameters for CJ20-25 AC contactor is established by means of orthogonal experiment, and then the only evaluation index is determined by two-stage fuzzy comprehensive evaluation. Considering the differences between samples' performance, the average value fΦ and mean square error SΦin the fitting curve of each product's evaluation value are solved, and then the best angle is determined by using the one-level comprehensive evaluation. The relsult of experiment is consistent with simulation, so it will provide more accurate equipment condition to evaluate the similar devices' performance. [ABSTRACT FROM AUTHOR]

This paper attempts to construct a relatively scientific and perfect evaluation index system lo evaluate the urban vitality of cities. By using the fuzzy evaluation method combined with information entropy, we evaluated the urban vitality of the twelve cities in Hubei Province from three aspects of the comprehensive vitality, the dynamic system and the elements of the dynamic system and carried out an in-depth Analysis on the final evaluation results. The results show that) as for the comprehensive vitality, the urban vitality of these cities in Hubei is generally low and different from one to the other with Wuhan of highest vitality and Jingzhou of the lowest one; 2) from the perspective of dynamic system, in each city, the four dynamic system of economy, society, environment and culture develop in harmoniously with environmental vitality higher than the others ; 3) the dynamic basis and the dynamic degree of the major cities of Hubei Province present complementary trend. Based on the these conclusions, this paper ties to pro-pose several feasible suggestions for the coordinate development of the cities in Hubei Province. [ABSTRACT FROM AUTHOR]

To improve the precision of color transform in different imaging devices, taking the transform of color space between RGB and CIE L* a * b * as an example, the fuzzy model of color space transform is put forward. It divides the input color space into many subspace and, in the subspace, the input value is turned into output via neural network. The color space transform model based on fuzzy neural system is established by using neural network system to optimize the fuzzy model of color space transform. The analytical results show that the converting accuracy of the proposed model is higher than the single fuzzy model of color space transform, and the problem of training difficulty caused by much more sampling points could be solved. [ABSTRACT FROM AUTHOR]

The fuzzy vector of credit multi-feature evaluation was established, and the relation between fuzzy subsethood measure and similarity measure was analyzed. A calculation formula of subsethood measure was proposed, and then, the calculation formula of fuzzy similarity measure was induced so as to remedy the disadvantage of conventional ones. Furthermore, the fuzzy similarity measure-based credit evaluation function was established. On the basis of this, for the credit loan problem, the fuzzy nonlinear optimization model was established, the interior-point algorithm of the model was given, and its convergence was analyzed. The example results show that the similarity measure-based fuzzy nonlinear programming model was suitable for solving complex problems, such as credit loan optimization. [ABSTRACT FROM AUTHOR]

A new approach to building the mathematical model of large-sized CNC lathe bed with static and dynamic fuzzy constraints was presented by combining the fuzzy theory with finite element method. Based on sensitive analysis of the bed structure, fuzzy logic inference was applied to constructing the fuzzy set of sensitivity to determine the optimal group of fuzzy design variables. An improved optimal vector level cut set method was induced to distinguish the effects of fuzzy constraints, so the optimal solution would not be lost. The analytical results show that using fuzzy finite element method, a more reasonable solution than one by using the conventional optimum method can be obtained. This method can reflect the fuzziness of engineering problem, and it also can do beneficial exploration for optimization design of complex large-sized structure. [ABSTRACT FROM AUTHOR]

Extends the concept and theory of Sugeno integral and fuzzy measure, presents a new method for multi-attribute decision making under interval intuitionistic fuzzy environment. The concept of interval intuitionistic fuzzy-valued fuzzy measure and interval intuitionistic fuzzy-valued Sugeno integral are introduced, and the relationship between the extension and original fuzzy measure and Sugeno integral are represented. Some properties and calculating methods of the extended Sugeno integral are given. A multi-attribute decision making method is established in which interval intuitionistic fuzzy-valued Sugeno integral is taken as its aggregation function. An illustrative example is provided to verify the new method and to demonstrate its feasibility and practicality. [ABSTRACT FROM AUTHOR]