It was a biologist — Ludwig von Bertalanffy — who long ago perceived the essential unity of system concepts and techniques in the various fields of s… - Lotfi A. Zadeh

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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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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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Additional quotes by Lotfi A. Zadeh

In many, many fields. I expected people in the social sciences-economics, psychology, philosophy, linguistics, politics, sociology, religion and numerous other areas to pick up on it. It's been somewhat of a mystery to me why even to this day, so few social scientists have discovered how useful it could be. Instead, Fuzzy Logic was first embraced by engineers and used in industrial process controls and in "smart" consumer products such as hand-held camcorders that cancel out jittering and microwaves that cook your food perfectly at the touch of a single button. I didn't expect it to play out this way back in 1965.

Essentially, a fuzzy algorithm is an ordered sequence of instructions (like a computer program) in which some of the instructions may contain labels or fuzzy sets, e.g.: Reduce x slightly if y is very large Increase x very slightly if y is not very large and not very small If x is small then stop; otherwise increase x by 2.

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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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