Gomide, An Introduction to Fuzzy Sets: Analysis & Design, The MIT Press, Cambridge, MA, 1998.Pedrycz, W., Gomide, F., 1998. An Introduction to Fuzzy Sets: Analysis and De- sign. MIT Press, Cambridge, MA.W. Pedrycz and F. Gomidi. An introduction to fuzzy sets: analysis and design....
An Introduction to Fuzzy Sets 2025 pdf epub mobi 电子书 图书描述 The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and...
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...
Type-2 fuzzy sets allow one to handle linguistic uncertainties. This paper presents the architectures of three type-2 TSK fuzzy logic systems (FLSs). There are three because of the possible type-1 or type-2 natures of the antecedent memberships and parameters of the consequent. The output of...
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...
Fuzzy Sets Syst 85:1–10 Article MATH Google Scholar Driankov D, Hellendorn H, Reinfrank M (1993) An introduction to fuzzy control. Springer, New York Berlin Heidelberg Lee CC (1990) Fuzzy logic in control systems: fuzzy logic controller—Parts I, II. IEEE Trans Syst Man Cybernet 20:...
When represented graphically, fuzzy sets are often trapezoidal, but can also include triangular, sigmoid, bell-shaped, or irregular (Cox, 1994). The terms graduation and granulation refer to the matter of degree of similarity between the data. There are many types of fuzzy sets, such as type...
Intuitionistic fuzzy sets are the most widely used fuzzy set extension in the literature. It is a fuzzy set extension in which decision makers specify the degree of membership of the elements in the set as well as their non-membership to the set. Thus, the indecision of the decision makers...
Finding Groups in Data: An Introduction to Cluster Analysis . 2009Kaufman and Rousseeuw P. J. L. Agglomerative nesting (program AGNES). 1999; 1(5): ... L Kaufman,PJ Rousseeuw - John Wiley & Sons, Ltd 被引量: 24发表: 2008年 Extracting cover sets from free fuzzy sorting data analysis ...