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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, bi… - Lotfi A. Zadeh
" "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.
English
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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
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Lotfi Asker Zadeh
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Lotfi Aliaskerzadeha
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Lotfali Askar-Zadeh
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Lotfali Askar Zadeh
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Lofti Zadeh
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Lofti A. Zadeh
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Lofti Askar Zadeh
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Lotfi A Zadeh
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Lofti A Zadeh
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Zadeh
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Lotfi Aliasker Zadeh
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Lütfi Zadə
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Lütfizadə
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Zadeh, Lotfi Asker
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Заде, Лотфи
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Заде Л. А.
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Заде Лютфи Аскер
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Заде, Лютфи Аскер
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Заде, Лютфи
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Заде, Лотфи А.
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Заде Лотфи Аскер
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Заде, Лотфи Аскер
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Заде Л.
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Заде
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Аскерзаде, Лютфали
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Аскер Заде, Лотфи
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Аскер Заде, Лютфи
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Лотфи Аскер Заде
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Лотфи А. Заде
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Лотфи Заде
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Л. Заде
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Лютфи Аскер Заде
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Лютфи А. Заде
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Лютфи Заде
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Л. А. Заде
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Лотфи Задех
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Additional quotes by Lotfi A. Zadeh
[ Fuzzy logic is ] a logic whose distinguishing features are (i) fuzzy truth-values expressed in linguistic terms, e.g., true, very true, more or less true, or somewhat true, false, nor very true and not very false, etc2.; (2) imprecise truth tables; and (3) rules of inference whose validity is relative to a context rather than exact.
Well, I knew it was going to be important. That much I knew. In fact, I had thought about sealing it in a dated envelope with my predictions and then opening it 20-30 years later to see if my intuitions were right. I realized this paper marked a new direction. I used to think about it this way-that one day Fuzzy Logic would turn out to be one of the most important things to come out of our Electrical Engineering Computer Systems Division at Berkeley. I never dreamed it would become a worldwide phenomenon. My expectations were much more modest.
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More often than not, the classes of objects encountered in the real physical world do not have precisely defined criteria of membership. For example, the class of animals clearly includes dogs, horses, birds, etc. as its members, and clearly excludes such objects as rocks, fluids, plants, etc. However, such objects as starfish, bacteria, etc. have an ambiguous status with respect to the class of animals. The same kind of ambiguity arises in the case of a number such as 10 in relation to the “class” of all real numbers which are much greater than 1.
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