Fuzzy Sets: An Introduction Some of the basic properties and implications of the concepts of fuzzy set theory are presented. The notion of a fuzzy set is seen to provide a convenient point of departure for the construction of a conceptual framework which parallels in many respects the framework...
Summary This chapter introduces the essential concepts of fuzzy sets. It focuses on the fundamental idea of partial membership, which is conveniently quantified through membership functions and membership degrees. The chapter presents the underlying rationale and then move on to a detailed description of...
An introduction to fuzzy sets We introduce the notion of fuzzy sets as a tool for modeling sets with ill-defined or flexible boundaries. Fuzzy sets naturally appear when describing the ... D Dubois,H Prade - 《Clinica Chimica Acta》 被引量: 481发表: 1998年 ...
Introduction The mathematical theory of fuzzy sets and fuzzy logic itself originated back in 1965. Its founding father was a Professor Lotfi Zadeh from the University of Berkeley, who first introduced both concepts in his article "Fuzzy Sets" in the Information and Control journal. This ...
* This document is an introduction to fuzzy control systems. It provides an overview of their theory of operation, followed by elementary examples of their use. [1] INTRODUCTION TO FUZZY LOGIC & FUZZY CONTROL * "Fuzzy logic" has become a common buzzword in machine control. However, the term...
The prevalence of the term “fuzzy neural network” can be compared to the use of the term “fuzzy logic” for all techniques based on the theory of fuzzy sets, sometimes called “fuzzy logic in the wide sense” [27]. It is acceptable when referring to fuzzy neural networks in general....
ManfredKochen, inFuzzy Sets and their Applications to Cognitive and Decision Processes, 1975 1INTRODUCTION Since its inception,fuzzy set theorywas guided by the assumption that classical sets were not natural, appropriate or useful notions in describing human behavior. The design of a control system ...
K. Sut, An Introduction To The Theory of Imprecise Soft Sets, International Journal of Intelligent Systems and Applications 4 (2012) 75-83.T. J. Neog and D. K. Sut, An Introduction to the Theory of Imprecise soft sets, I.J. Intelligent Systems and Applications, 2012, 11, 75-83...
Keinosuke Fukunaga, in Introduction to Statistical Pattern Recognition (Second Edition), 1990 11.3 Selection of Representatives In the previous sections, we have discussed algorithms to find clusters from a distribution. A similar but slightly different problem is to reduce the number of samples while...
1. Introduction Atanassov [1,2] introduced the concept of intuitionistic fuzzy sets as an extension of Zadeh’s fuzzy set [3]. The concept of an intuitionistic fuzzy set can be viewed as an alternative approach in such cases where available information is not sufficient to define the im...