Identification of Possibilistic Linear Systems by Quadratic Membership Functions of Fuzzy Parameters
نویسندگان
چکیده
منابع مشابه
Identification of Possibilistic Linear Systems by Quadratic Membership Functions of Fuzzy Parameters
We have already formalized several models of the possibilistic linear regression analysis, where it is assumed that possibilistic parameters are non-interactive, i.e., the joint possibilistic distribution of parameters is defined by minimum operators. In this paper, we will deal with the interactive case in which quadratic membership functions defined by A. Celmins are considered. With the same...
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Recently, Gasimov and Yenilmez proposed an approach for solving two kinds of fuzzy linear programming (FLP) problems. Through the approach, each FLP problem is first defuzzified into an equivalent crisp problem which is non-linear and even non-convex. Then, the crisp problem is solved by the use of the modified subgradient method. In this paper we will have another look at the earlier defuzzifi...
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ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 1990
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.26.93