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What is the difference between classical set theory and fuzzy set theory?
Classical theory is a reference to established theory. Fuzzy set theory is a reference to theories that are not widely accepted.
What is fuzzy system?
 Fuzzy inference is a computer paradigm based on fuzzy set theory, fuzzy if-then- rules and fuzzy reasoning  Applications: data classification, decision analysis, expert systems, times series predictions, robotics & pattern recognition  Different names; fuzzy rule-based system, fuzzy model, fuzzy associative memory, fuzzy logic controller & fuzzy system Fuzzy inference is a computer paradigm based on fuzzy set theory, fuzzy if-then- rules and fuzzy reasoning  Applications: data classification, decision analysis, expert systems, times series predictions, robotics & pattern recognition  Different names; fuzzy rule-based system, fuzzy model, fuzzy associative memory, fuzzy logic controller & fuzzy system
What has the author Valerie Cross written?
Valerie Cross has written: 'Similarity and compatibility in fuzzy set theory' -- subject(s): Fuzzy sets
What are the ratings and certificates for The Big Bang Theory - 2007 The Fuzzy Boots Corollary 1-3?
The Big Bang Theory - 2007 The Fuzzy Boots Corollary 1-3 is rated/received certificates of: Argentina:13
What is fuzzy logic?
computer-based system(it contains both hard ware and software) that can process data that are incomplete or only partially correct Fuzzy logic was introduced as an artificial intelligence technique, when it was realized that normal boolean logic would not suffice. When we make intelligent decisions, we cannot limit ourselves to "true" or "false" possibilities (boolean). We have decisions like "maybe" and other shades of gray. This is what is introduced with fuzzy logic: the ability to describe degrees of truth. Example: in fuel station if you stop a fuel injecting motor at 1.55897ltrs.it can be done with the help of fuzzy logic.fuzzy has a meaning like accurate.
What is relationship of fuzzy logic with probability theory?
Probability theory deals with a events which have a range of probabilities of occurring, rather than a dichotomy of "happen" or "not happen". In a similar fashion, fuzzy logic deals with truth values that are not dichotomic: TRUE or FALSE, but have a range of intermediate values such as mostly true etc.
If fuzzy wuzzy wasn't fuzzy why is he fuzzy wuzzy?
because fuzzy wazzy was fuzzy
When you call fuzzy set as fuzzy graph?
fuzzy graph is not a fuzzy set, but it is a fuzzy relation.
Was fuzzy wuzzy really fuzzy?
Fuzzy wuzzy had no hair, fuzzy wuzzy wasn't fuzzy was he.
Why is fuzzy bear so fuzzy?
fuzzy wuzzy had no hair... therefore he cannot be fuzzy
What is fuzzy set?
= http://en.wikipedia.org/wiki/Fuzzy_set = = Fuzzy set =Jump to: navigation, searchFuzzy sets are sets whose elements have degrees of membership. Fuzzy sets have been introduced by Lotfi A. Zadeh (1965) as an extension of the classical notion of set. In classical set theory, the membership of elements in a set is assessed in binary terms according to a bivalent condition - an element either belongs or does not belong to the set. By contrast, fuzzy set theory permits the gradual assessment of the membership of elements in a set; this is described with the aid of a membership function valued in the real unit interval [0, 1]. Fuzzy sets generalize classical sets, since the indicator functions of classical sets are special cases of the membership functions of fuzzy sets, if the latter only take values 0 or 1.
Fuzzy logic previous papers please?
fuzzy logic papers fuzzy logic papers fuzzy logic papers
