W. Pedrycz

Publications2,172
h-index107
Citations60,141
Highly Influential Citations2,075
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A fuzzy extension of Saaty's priority theory
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A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction
TLDR
A comparative analysis of the predictive power of two different sets of metrics for defect prediction indicates that for the Eclipse data, process metrics are more efficient defect predictors than code metrics.
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An introduction to fuzzy sets : analysis and design
TLDR
Part 1 Fundamentals of fuzzy sets: basic notions and concepts of fuzzy Set Theory, types of membership functions, characteristics of a fuzzy set, basic relationships between fuzzy sets, and problem solving with fuzzy sets.
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Genetic learning of fuzzy cognitive maps
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Fuzzy Systems Engineering - Toward Human-Centric Computing
TLDR
A radical departure from current books on the subject, Fuzzy Systems Engineering presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch far beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science, business, medicine, bioinformatics, and computational biology.
Fuzzy clustering with partial supervision
TLDR
This paper presents a problem of fuzzy clustering with partial supervision, i.e., unsupervised learning completed in the presence of some labeled patterns, and proposes two specific learning scenarios of complete and incomplete class assignment of the labeled patterns.
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Type-2 Fuzzy Logic: Theory and Applications
TLDR
The new concepts were introduced by Mendel and Liang allowing the characterization of a type-2 fuzzy set with a superior membership function and an inferior membership function; these two functions can be represented each one by atype-1 fuzzy set membership function.
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Fuzzy control and fuzzy systems
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Advances in Fuzzy Clustering and its Applications
TLDR
A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering, addressing timely and relevant concepts and methods whilst identifying major challenges and recent developments in the area.
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Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study
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