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… - Lotfi A. Zadeh
" "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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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
It was a biologist — Ludwig von Bertalanffy — who long ago perceived the essential unity of system concepts and techniques in the various fields of science and who in writings and lectures sought to attain recognition for “general systems theory” as a distinct scientific discipline. It is pertinent to note, however, that the work of Bertalannfy and his school, being motivated primarily by problems arising in the study of biological systems, is much more empirical and qualitative in spirit than the work of those system theorists who received their training in exact sciences. In fact, there is a fairly wide gap between what might be regarded as “animate” system theorists and “inanimate” system theorists at the present time, and it is not at all certain that this gap will be narrowed, much less closed, in the near future. There are some who feel this gap reflects the fundamental inadequacy of the conventional mathematics—the mathematics of precisely defined points, functions, sets, probability measures, etc.—for coping with the analysis of biological systems, and that to deal effectively with such systems, we need a radically different kind of mathematics, the mathematics of fuzzy or cloudy quantities which are not describable in terms of probability distributions. Indeed the need for such mathematics is becoming increasingly apparent even in the realms of inanimate systems
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The term fuzzy logic is used in this paper to describe an imprecise logical system, FL, in which the truth-values are fuzzy subsets of the unit interval with linguistic labels such as true, false, not true, very true, quite true, not very true and not very fake, etc.... As a consequence, the truth tables and the rules of inference in fuzzy logic are (i) inexact and (ii) dependent on the meaning associated with the primary truth-value true as well as the modifiers very quite.
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