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- Witold Pedrycz
- Neurocomputing
- 2002

- Raimund Moser, Witold Pedrycz, Giancarlo Succi
- 2008 ACM/IEEE 30th International Conference on…
- 2008

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 related software metrics and use them for classifying Java files of the Eclipse project as defective respective defect-free. Classification models are built using three… (More)

- Witold Pedrycz, James Waletzky
- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 1997

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 is incorporated additively as a part of an objective function utilized in the standard FUZZY ISODATA. The algorithms proposed in the paper embrace two specific learning… (More)

- Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Reformat
- Fuzzy Sets and Systems
- 2005

- Witold Pedrycz
- IEEE Trans. Neural Networks
- 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 these networks, especially their layer composed of RBF's, using the techniques of fuzzy clustering. Proposed is an idea of conditional clustering whose main objective is to… (More)

- Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski
- IEEE Trans. Neural Networks
- 1998

That's it, a book to wait for in this month. Even you have wanted for long time for releasing this book data mining methods for knowledge discovery; you may not be able to get in some stress. Should you go around and seek fro the book until you really get it? Are you sure? Are you that free? This condition will force you to always end up to get a book. But… (More)

- Witold Pedrycz
- Pattern Recognition Letters
- 1996

A Fuzzy C-Means-based clustering method guided by an auxiliary (conditional) variable is introduced. The method reveals a structure within a family of patterns by considering their vicinity in a feature space along with the similarity of the values assumed by a certain conditional variable. The usefulness of the algorithm is exemplified in the problems of… (More)

- Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz
- 2007 IEEE International Conference on Granular…
- 2007

Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially "fuzzy fuzzy" sets where the fuzzy degree of membership is a type-1 fuzzy set. The new concepts were introduced by Mendel and Liang allowing the characterization of a type-2 fuzzy set… (More)

- Witold Pedrycz
- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 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 interpretation of results obtained therein. Some conceptual links between this idea and some others known in the literature are established. In particular, it is demonstrated… (More)

- Witold Pedrycz
- IEEE Trans. Systems, Man, and Cybernetics
- 1984

The identification problem which plays a central role in further development of the theory of fuzzy systems and their applications is Manuscript received August 1982; revised November 25, 1982, and April 1983. The author was with the Department of Mathematics, Delft University of Technology, The Netherlands. He is now with Department of Automatic Control… (More)