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" "(In response to the words of an angel: "Flee to the mountains, lest you be swept away!") So it came to pass, when they had brought them outside, that he said, “Escape for your life! Do not look behind you nor stay anywhere in the plain. Escape to the mountains, lest you be destroyed.”
Then Lot said to them, “Please, no, my lords! Indeed now, your servant has found favor in your sight, and you have increased your mercy which you have shown me by saving my life; but I cannot escape to the mountains, lest some evil overtake me and I die. See now, this city is near enough to flee to, and it is a little one; please let me escape there (is it not a little one?) and my soul shall live.”
And he said to him, “See, I have favored you concerning this thing also, in that I will not overthrow this city for which you have spoken. Hurry, escape there. For I cannot do anything until you arrive there.”
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 .
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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.
[ 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.
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