Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/68491
Title: An Asymmetric Index to Compare Trapezoidal Fuzzy Numbers
Author: Rojas Mora, Julio César
Gil Lafuente, Jaime
Keywords: Lògica borrosa
Lògica matemàtica
Fuzzy logic
Mathematical logic
Issue Date: 2014
Publisher: COMSIS Consortium
Abstract: In this paper, we present a tool to help reduce the uncertainty presented in the resource selection problem when information is subjective in nature. The candidates and the "ideal" resource required by evaluators are modeled by fuzzy subsets whose elements are trapezoidal fuzzy numbers (TrFN). By modeling with TrFN the subjective variables used to determine the best among a set of resources, one should take into account in the decision-making process, not only their expected value, but also the uncertainty that they reflect. Respecting this condition, for each candidate an asymmetric index evaluates the distance between the TrFNs for each of the variables and the corresponding TrFNs of the "ideal" candidate, consolidating them through a weighted average that lets the decision-maker make the final comparison between the candidates, and the selection of the one best suited. We apply this contribution to the case of the selection of the product that is best suited for a "pilot test" to be carried out in some market segment.
Note: Reproducció del document publicat a: http://dx.doi.org/10.2298/CSIS121212041R
It is part of: Computer Science and Information Systems, 2014, vol. 11, num. 2, p. 765-778
Related resource: http://dx.doi.org/10.2298/CSIS121212041R
URI: http://hdl.handle.net/2445/68491
ISSN: 1820-0214
Appears in Collections:Articles publicats en revistes (Empresa)

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