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Fuzzy sets and typicality theory
Information Sciences, 1990zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. Vasudev Murthy, Abraham Kandel
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Operations-Research-Spektrum, 1992
The term “fuzzy” was proposed by Zadeh in 1962 [273]. In 1965, Zadeh formally published the famous paper “Fuzzy Sets”[274]. The fuzzy set theory is developed to improve the oversimplified model, thereby developing a more robust and flexible model in order to solve real-world complex systems involving human aspects.
Young-Jou Lai, Ching-Lai Hwang
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The term “fuzzy” was proposed by Zadeh in 1962 [273]. In 1965, Zadeh formally published the famous paper “Fuzzy Sets”[274]. The fuzzy set theory is developed to improve the oversimplified model, thereby developing a more robust and flexible model in order to solve real-world complex systems involving human aspects.
Young-Jou Lai, Ching-Lai Hwang
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2000
This chapter presents the fundamental ideas behind fuzzy set theory. It begins with a review of traditional set theory (commonly referred to as crisp or classical set theory in the fuzzy set literature) and uses this as a backdrop, against which fuzzy sets and a variety of operations on fuzzy sets are introduced.
Erich Peter Klement +2 more
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This chapter presents the fundamental ideas behind fuzzy set theory. It begins with a review of traditional set theory (commonly referred to as crisp or classical set theory in the fuzzy set literature) and uses this as a backdrop, against which fuzzy sets and a variety of operations on fuzzy sets are introduced.
Erich Peter Klement +2 more
+5 more sources
Uninorms in L∗-fuzzy set theory
Fuzzy Sets and Systems, 2004The paper offers an extension of some fundamental concepts of the t-norms and aggregation operators theory to the conceptual context of interval-valued fuzzy set theory. The approach follows from the representation of the above fuzzy set theories by means of \(L^*\) lattices. The extension is considered with respect to the concepts of t-norm, t-conorm,
Glad Deschrijver, Etienne E. Kerre
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Fuzzy set and possibility theory
IEEE Transactions on Systems, Man, and Cybernetics, 1984This edited book is a compilation of the papers presented at a symposium held in Acapulco, Mexico, in December 1980. The volume contains 47 papers and a bibliography. The papers have been edited by Ronald R. Yager into four parts: general topics, logical aspects, mathematical aspects, and applications.
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Fuzzy set theory. The concept of fuzzy sets
2015 XVIII International Conference on Soft Computing and Measurements (SCM), 2015The article provides information about fuzzy sets: its history, definitions, operations. Review of set theory and is accompanied by a choice task, provides a solution to one of the options.
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2011
Fuzzy set theory has been developed to solve problems where the descriptions of activities and observations are imprecise, vague, or uncertain. The term “fuzzy” refers to a situation in where there are no well defined boundaries of the set of activities or observations to which the descriptions apply.
Jiuping Xu, Xiaoyang Zhou
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Fuzzy set theory has been developed to solve problems where the descriptions of activities and observations are imprecise, vague, or uncertain. The term “fuzzy” refers to a situation in where there are no well defined boundaries of the set of activities or observations to which the descriptions apply.
Jiuping Xu, Xiaoyang Zhou
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2008
In this chapter we present the reader with the fundamental concepts of fuzzy set theory. The basic primer on fuzzy set theory remains Zadeh’s1965 seminal work. A number of scholars have since discussed several aspects of fuzzy set theory pertinent to the social sciences. Perhaps the best overview is provided by Smithson and Verkuilen (2006).
Terry D. Clark +4 more
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In this chapter we present the reader with the fundamental concepts of fuzzy set theory. The basic primer on fuzzy set theory remains Zadeh’s1965 seminal work. A number of scholars have since discussed several aspects of fuzzy set theory pertinent to the social sciences. Perhaps the best overview is provided by Smithson and Verkuilen (2006).
Terry D. Clark +4 more
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2007
This paper analyzes some of the main issues involved in the construction of fuzzy set theories. It reviews both standard solutions (based on the well-known t-norms and t-conorms), as well as less conventional proposals that provide alternative views on, e.g. the definition of fuzzy connectives and the study of their properties.
Ana Pradera +3 more
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This paper analyzes some of the main issues involved in the construction of fuzzy set theories. It reviews both standard solutions (based on the well-known t-norms and t-conorms), as well as less conventional proposals that provide alternative views on, e.g. the definition of fuzzy connectives and the study of their properties.
Ana Pradera +3 more
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2017
This entry presents a definition of fuzzy set theory and an overview of some applications to model flexible information retrieval systems. The entry focuses on a description of fuzzy indexing procedures defined to represent the varying significance of terms in synthesizing the documents’ contents, the representation of structured documents so as to ...
Kraft D, Bordogna G, Pasi G
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This entry presents a definition of fuzzy set theory and an overview of some applications to model flexible information retrieval systems. The entry focuses on a description of fuzzy indexing procedures defined to represent the varying significance of terms in synthesizing the documents’ contents, the representation of structured documents so as to ...
Kraft D, Bordogna G, Pasi G
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