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Fuzzy Sets: An Introduction

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International Encyclopedia of Statistical Science

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 used in the case of ordinary sets but is more general than the latter. The material presented is from the basic paper of Zadeh (1965) who introduced the notion of fuzzy sets. The reader is also referred to Rosenfeld (1982) for a brief survey of some of the concepts of fuzzy set theory and its application to pattern recognition (see Pattern Recognition, Aspects of and Statistical Pattern Recognition Principles).

Introduction

In everyday life we often deal with imprecisely defined properties or quantities–e.g., “a few books,” “a long story,” “a popular teacher,” “a tall man,” etc. More often than not, the classes of objects which we encounter in the real physical world do not have precisely...

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References and Further Reading

  • Klement EP, Puri ML, Ralescu DA (1984) Law of large numbers and central limit theorem for fuzzy random variables. Cybern Syst Anal 2:525–529

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  • Negoita CV, Ralescu DA (1975) Applications of fuzzy sets to system analysis. Wiley, New York

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  • Proske F, Puri ML (2002a) Central limit theorem for Banach space valued fuzzy random variables. Proc Am Math Soc 130: 1493–1501

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  • Proske F, Puri ML (2002b) Strong law of large numbers for Banach space valued fuzzy random variables. J Theor Probab 15:543–552

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  • Puri ML, Ralescu DA (1982) Integration on fuzzy sets. Adv Appl Math 3:430–434

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  • Puri ML, Ralescu DA (1983) Differentials of fuzzy functions. J Math Anal Appl 91:552–558

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  • Puri ML, Ralescu DA (1985) The concept of normality for fuzzy random variables. Ann Probab 13:1373–1379

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© 2011 Springer-Verlag Berlin Heidelberg

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Puri, M.L. (2011). Fuzzy Sets: An Introduction. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_267

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