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An introduction to fuzzy sets : analysis and design
Part 1 Fundamentals of fuzzy sets: basic notions and concepts of fuzzy sets - set membership and fuzzy sets, basic definitions of a fuzzy set, types of membership functions, characteristics of aExpand
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A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction
In this paper we present a comparative analysis of the predictive power of two different sets of metrics for defect prediction. We choose one set of product related and one set of process relatedExpand
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Genetic learning of fuzzy cognitive maps
Fuzzy cognitive maps (FCMs) are a very convenient, simple, and powerful tool for simulation and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and since thenExpand
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Fuzzy Systems Engineering - Toward Human-Centric Computing
A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and carefully selected illustrative material Forty years haveExpand
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Fuzzy clustering with partial supervision
Presented here is a problem of fuzzy clustering with partial supervision, i.e., unsupervised learning completed in the presence of some labeled patterns. The classification information isExpand
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Data Mining Methods for Knowledge Discovery
Foreword. Preface. 1. Data Mining and Knowledge Discovery. 2. Rough Sets. 3. Fuzzy Sets. 4. Bayesian Methods. 5. Evolutionary Computing. 6. Machine Learning. 7. Neural Networks. 8. Clustering. 9.Expand
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Conditional fuzzy clustering in the design of radial basis function neural networks
  • W. Pedrycz
  • Medicine, Computer Science
  • IEEE Trans. Neural Networks
  • 1 July 1998
This paper is concerned with the use of radial basis function (RBF) neural networks aimed at an approximation of nonlinear mappings from R(n) to R. The study is devoted to the design of theseExpand
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Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study
In this study, we present a comprehensive comparative analysis of kernel-based fuzzy clustering and fuzzy clustering. Kernel based clustering has emerged as an interesting and quite visibleExpand
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Rough–Fuzzy Collaborative Clustering
In this study, we introduce a novel clustering architecture, in which several subsets of patterns can be processed together with an objective of finding a common structure. The structure revealed atExpand
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Shadowed sets: representing and processing fuzzy sets
  • W. Pedrycz
  • Medicine, Computer Science
  • IEEE Trans. Syst. Man Cybern. Part B
  • 1 February 1998
This study introduces a new concept of shadowed sets that can be regarded as a certain operational framework simplifying processing carried out with the aid of fuzzy sets and enhancing interpretationExpand
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