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- W2062173668 abstract "The weighted fuzzy expected value (WFEV) of the population for a sampling distribution was introduced in 1 . In 2 the notion of WFEV is generalized for any fuzzy measure on a finite set (WFEV g ). The latter paper also describes the notions of weighted fuzzy expected intervals WFEI and WFEI g which are an interval extension of WFEV and WFEV g , respectively, when due to ''scarce'' data the fuzzy expected value (FEV) 3 does not exist, but the fuzzy expected interval (FEI) 3 does. In this paper, The generalizations GWFEV g and GWFEI g of WFEV g and WFEI g , respectively, are introduced for any fuzzy measure space. Furthermore, the generalized weighted fuzzy expected value is expressed in terms of two monotone expectation (ME) 4 values with respect to the Lebesgue measure on [0,1]. The convergence of iteration processes is provided by an appropriate choice of a ''weight'' function. In the interval extension (GWFEI g ) the so-called combinatorial interval extension of a function 5 is successfully used, which is clearly illustrated by examples. Several examples of the use of the new weighted averages are discussed. In many cases these averages give better estimations than classical estimators of central tendencies such as mean, median or the fuzzy ''classical'' estimators FEV, FEI and ME." @default.
- W2062173668 created "2016-06-24" @default.
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- W2062173668 date "2003-04-01" @default.
- W2062173668 modified "2023-09-24" @default.
- W2062173668 title "Weighted Fuzzy Averages in Fuzzy Environment: Part II. Generalized Weighted Fuzzy Expected Values in Fuzzy Environment" @default.
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- W2062173668 doi "https://doi.org/10.1142/s0218488503001990" @default.
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