149 results on '"Pedrycz, Witold"'
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2. Logic-oriented fuzzy neural networks: A survey
3. Model checking combined trust and commitments in Multi-Agent Systems
4. A comprehensive survey on applications of transformers for deep learning tasks
5. Generalized TODIM method based on symmetric intuitionistic fuzzy Jensen–Shannon divergence
6. Architecture selection for 5G-radio access network using type-2 neutrosophic numbers based decision making model
7. Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy
8. Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology
9. Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
10. Optimizing consistency and consensus in group decision making based on relative projection between multiplicative reciprocal matrices
11. Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy
12. A user-guided reduction concept lattice and its algebraic structure
13. Design of fuzzy rule-based models with fuzzy relational factorization
14. Socially aware fuzzy vehicle routing problem: A topic modeling based approach for driver well-being
15. Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam
16. Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications
17. Design Gaussian information granule based on the principle of justifiable granularity: A multi-dimensional perspective
18. A personalized individual semantics-based multi-attribute group decision making approach with flexible linguistic expression
19. Multi granularity based label propagation with active learning for semi-supervised classification
20. Anomaly detection based on a granular Markov model
21. Research on the consistency of additive trapezoidal fuzzy preference relations
22. Efficient algorithms for mining closed high utility itemsets in dynamic profit databases
23. Succinct contrast sets via false positive controlling with an application in clinical process redesign
24. Structural optimization of fuzzy rule-based models: Towards efficient complexity management
25. Model checking combined trust and commitments in Multi-Agent Systems
26. A comprehensive survey on applications of transformers for deep learning tasks
27. Causality measures and analysis: A rough set framework
28. Empirical evaluation of feature projection algorithms for multi-view text classification
29. Clustering of interval-valued time series of unequal length based on improved dynamic time warping
30. Record linkage based on a three-way decision with the use of granular descriptors
31. Generalized TODIM method based on symmetric intuitionistic fuzzy Jensen–Shannon divergence
32. Architecture Selection for 5G-Radio Access Network Using Type-2 Neutrosophic Numbers Based Decision Making Model
33. Developing Deep Transfer and Machine Learning Models of Chest X-ray for Diagnosing COVID-19 Cases using Probabilistic Single-Valued Neutrosophic Hesitant Fuzzy
34. Granulating linguistic information in decision making under consensus and consistency
35. Bi-level plant selection and production allocation model under type-2 fuzzy demand
36. Mining erasable itemsets with subset and superset itemset constraints
37. Design of rule-based models through information granulation
38. Description and prediction of time series: A general framework of Granular Computing
39. An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling
40. Set-valued samples based support vector regression and its applications
41. Superior solution guided particle swarm optimization combined with local search techniques
42. A design of granular fuzzy classifier
43. An interval weighed fuzzy c-means clustering by genetically guided alternating optimization
44. The modeling of time series based on fuzzy information granules
45. Determination of temporal information granules to improve forecasting in fuzzy time series
46. Multi-label classification by exploiting label correlations
47. Effective intervals determined by information granules to improve forecasting in fuzzy time series
48. Analysis and design of rank-based classifiers
49. Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application
50. Fuzzy linear regression based on Polynomial Neural Networks
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