05-04-2015, 01:54 AM
I want the full seminar report on fuzzy logic
I want the seminar report on fuzzy logic
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seminar reports on fuzzy logic
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I want the full seminar report on fuzzy logic
I want the seminar report on fuzzy logic
11-04-2017, 09:49 AM
Fuzzy logic is an approximation to computation based on "degrees of truth" instead of the usual "true or false" Boolean logic (1 or 0) on which the modern computer is based. The idea of fuzzy logic was advanced by Dr. Lotfi Zadeh of the University of California at Berkeley in the 1960s. Dr. Zadeh was working on the problem of computerized understanding of natural language. Natural language (like most other life activities and indeed the universe) does not easily translate into the absolute terms of 0 and 1. (If everything is ultimately descriptible in binary terms it is a philosophical question Which is worth pursuing,). It may help to see fuzzy logic as how reasoning really works and binary or Boolean logic is simply a special case of it.
Fuzzy logic includes 0 and 1 as extreme cases of truth (or "state of affairs" or "fact"), but also includes the various truth states between them, so that, for example, the result of a comparison between two Things could be not "tall" or "short" but ".38 tallness". Fuzzy logic seems closer to the way our brain works. We add data and form a number of partial truths that we add more in higher truths, which, in turn, when certain thresholds are exceeded, cause other additional results like the motor reaction. A similar type of process is used in neural networks, expert systems, and other artificial intelligence applications. Fuzzy logic is essential for the development of the human capacities of artificial intelligence, sometimes called artificial general intelligence: the representation of generalized human cognitive capacities in software so that, before an unknown task, the AI system can find a solution .
Fuzzy logic includes 0 and 1 as extreme cases of truth (or "state of affairs" or "fact"), but also includes the various truth states between them, so that, for example, the result of a comparison between two Things could be not "tall" or "short" but ".38 tallness". Fuzzy logic seems closer to the way our brain works. We add data and form a number of partial truths that we add more in higher truths, which, in turn, when certain thresholds are exceeded, cause other additional results like the motor reaction. A similar type of process is used in neural networks, expert systems, and other artificial intelligence applications. Fuzzy logic is essential for the development of the human capacities of artificial intelligence, sometimes called artificial general intelligence: the representation of generalized human cognitive capacities in software so that, before an unknown task, the AI system can find a solution .
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