A linguistic variable is a variable whose values are words or sentences in a natural or synthetic language. - Lotfi A. Zadeh

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A linguistic variable is a variable whose values are words or sentences in a natural or synthetic language.

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About Lotfi A. Zadeh

Lotfali Askar Zadeh (February 4, 1921 – September 6, 2017) was an Azerbaijani-born Iranian American mathematician, electrical engineer, computer scientist, artificial intelligence researcher, and professor emeritus of computer science at the University of California, Berkeley, known for the development of .

Also Known As

Native Name: Lütfəli Rəhim oğlu Əsgərzadə
Alternative Names: Lotfi Zadeh Lotfi Asker Zadeh Lotfi Aliaskerzadeha Lotfali Askar-Zadeh Lotfali Askar Zadeh Lofti Zadeh Lofti A. Zadeh Lofti Askar Zadeh Lotfi A Zadeh Lofti A Zadeh Zadeh Lotfi Aliasker Zadeh Lütfi Zadə Lütfizadə Zadeh, Lotfi Asker Заде, Лотфи Заде Л. А. Заде Лютфи Аскер Заде, Лютфи Аскер Заде, Лютфи Заде, Лотфи А. Заде Лотфи Аскер Заде, Лотфи Аскер Заде Л. Заде Аскерзаде, Лютфали Аскер Заде, Лотфи Аскер Заде, Лютфи Лотфи Аскер Заде Лотфи А. Заде Лотфи Заде Л. Заде Лютфи Аскер Заде Лютфи А. Заде Лютфи Заде Л. А. Заде Лотфи Задех
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A fuzzy set is a class of objects with a continuum of grades of membership. Such a set is characterized by a membership (characteristic) function which assigns to each object a grade of membership ranging between zero and one. The notions of inclusion, union, intersection, complement, relation, convexity, etc., are extended to such sets, and various properties of these notions in the context of fuzzy sets are established. In particular, a separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.

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The advent of the Computer age has stimulated a rapid expansion in the use of quantitative techniques for the analysis of economic, urban, social, biological and other types of systems in which it is the animate rather than in dominant role. At present, most of the techniques employed for the analysis of humanistic, i.e., human centred systems are adaptations of the methods that have been developed over a long period of time for dealing with mechanistic systems, i.e., physical systems governed in the main by-the laws of mechanics, electromagnetism, and thermodynamics. The remarkable successes of these methods in unraveling the secrets of nature and enabling us to build better and better machines have inspired a widely held belief that the same or similar techniques can be applied with comparable effectiveness to the analysis of humanistic systems.

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