L.A. Zadeh. The Treatment of Uncertainity in Knowledge-based Systems Using Fuzzy Sets and Possibility Theory. International Journal of Intelligent Systems, 3:141--165, 1988.  Home/Search   Document Not in Database   Summary   Related Articles

....of all of the parameters and structures required in the model are definitely and totally known and complete. However, in many applications existing in real life, information is rarely deterministic, crisp and cannot be precisely described because of the imprecise nature of the real life knowledge [44, 57]. Trying to model this real life applications with currently available models unavoidably cause loss of information between the model and the reality. Natural languages have many linguistic terms which have fuzzy characteristics. For example, we say: Mary is young and tall. Usually high quality ....

....of possible values which are available in classical logic system. In this respect, fuzzy logic may be viewed as an extension of such systems rather than as a system of reasoning which is in conflict with classical systems. 2.5. 1 Fuzzy Sets The original interpretation of fuzzy set introduced by [57, 56] as a generalization of the classical set theory has been applied to the description of imprecise, vague notions. The most important assumption in representing a fuzzy object is instead of binary approach of classical set theory ( A (x) Omega 7 0 or 1) fuzzy set theory ( A (x) Omega 7 ....

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L.A. Zadeh. The Treatment of Uncertainity in Knowledge-based Systems Using Fuzzy Sets and Possibility Theory. International Journal of Intelligent Systems, 3:141--165, 1988.

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