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Application of the fuzzy multi-criteria decision-making method to identify nonlinear decision model

by Wojciech Salabun
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 15
Year of Publication: 2014
Authors: Wojciech Salabun
10.5120/15704-4635

Wojciech Salabun . Application of the fuzzy multi-criteria decision-making method to identify nonlinear decision model. International Journal of Computer Applications. 89, 15 ( March 2014), 1-6. DOI=10.5120/15704-4635

@article{ 10.5120/15704-4635,
author = { Wojciech Salabun },
title = { Application of the fuzzy multi-criteria decision-making method to identify nonlinear decision model },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 15 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number15/15704-4635/ },
doi = { 10.5120/15704-4635 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:17.769127+05:30
%A Wojciech Salabun
%T Application of the fuzzy multi-criteria decision-making method to identify nonlinear decision model
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 15
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A large number of multi-criteria methods have been developed to deal with different kinds of problems. Most of them use a linear aggregation, what is the cause of many shortcomings in solving decision problems. This paper presents how to identify nonlinear multi-criteria decision-making models with using the new fuzzy method: the Characteristic Objects Method (COMET). In this approach, models are constructed on the basis of characteristic objects and fuzzy rules. Thereby, the COMET method is free of rank reversal phenomenon, which is one of the most commonly indicated shortcoming of the multi-criteria decisionmaking methods. This study introduces the concepts of characteristic objects and way of their determination. Subsequently, the paper presents approach to construct the fuzzy rule base and the entire model. Finally, the theoretical nonlinear problem is presented to verify the developed approach and to demonstrate its effectiveness.

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Index Terms

Computer Science
Information Sciences

Keywords

Multi-criteria Making-decision Method Rank Reversal Decision Making Characteristic Objects COMET Method

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