Feb 23, 2019 · The aim of this paper is to investigate the potential of fuzzy regression methods for computing a measure of skewness for the market.
The aim of this paper is to investigate the potential of fuzzy regression methods for computing a measure of skewness for the market. A quadratic version of ...
The aim of this paper is to investigate the potential of fuzzy regression methods for computing a measure of skewness for the market. A quadratic version of the ...
Towards a skewness index for the Italian stock market. E Elyasiani, L Gambarelli, S Muzzioli. DEMB WORKING PAPER SERIES, 2015. 1, 2015. Aggregating sentiment in ...
Nov 3, 2020 · We give a geometrically motivated measure of skewness, define a mean value triangle number, and dispersion (in that order) of a fuzzy number ...
In this note, we introduce a fuzzy method for producing family of univariate and multivariate skew-elliptical distributions based on fuzzy conditional events.
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Skewness of Fuzzy Numbers and Its Applications in Portfolio ...
dl.acm.org › doi › TFUZZ.2015.2404340
A fuzzy mean-variance-skewness portfolio selection model is formulated and two variations are given, which are transformed to nonlinear optimization models with ...
A fuzzy mean-variance-skewness portfolio se-lection model is formulated and two variations are given, which are transformed to nonlinear optimization models ...
This paper utilizes the concept of interval numbers in fuzzy set theory to extend the classical mean–variance (MV) portfolio selection model into mean–variance ...
Aug 12, 2022 · Fuzzy matching is a technique used to identify similar elements in a data set. The algorithm compares two strings and assigns a score to each string based on ...