A new algorithm for computing the fuzzy weighted average
نویسندگان
چکیده
منابع مشابه
On Computing the Fuzzy Weighted Average Using the KM Algorithms
By connecting the fuzzy weighted average (FWA) and the generalized centroid (GC) of an interval type-2 fuzzy set we have arrived at a new αcut algorithm for solving the FWA problem, one that is monotonically and super-exponentially convergent. Our new algorithm uses the Karnik-Mendel (KM) algorithms to compute the FWA α-cut end-points. No faster algorithm for solving this problem exists to-date.
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An algorithm is presented for the computation of analytical expressions for the extremal values of the α-cuts of the fuzzy weighted average, for triangular or trapeizoidal weights and attributes. Also, an algorithm for the computation of the inverses of these expressions is given, providing exact membership functions of the fuzzy weighted average. Up to now, only algorithms exist for the comput...
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ژورنال
عنوان ژورنال: IEICE Electronics Express
سال: 2010
ISSN: 1349-2543
DOI: 10.1587/elex.7.1423