"Soft" consensus in decision-making model using partial goals method

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33159926" target="_blank" >RIV/61989592:15310/16:33159926 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

"Soft" consensus in decision-making model using partial goals method

Original language description

The paper deals with the method of reaching consensus in group decision-making under fuzziness proposed by Sukač et al. in 2015. This multi-expert (ME) multiple-criteria decision-making (MCDM) model utilizes fuzzy evaluations of absolute type and stems from the partial-goals tree evaluation methodology introduced by Talašová in 2003. The fuzzy evaluations of alternatives are in the form of fuzzy numbers on a universe representing the degree of fulfillment of a given goal and as such they express the fuzzy degrees of fulfillment of the given goal by the respective alternatives for each expert. Each expert is assigned a decision competence expressed by a fuzzy number. The group aggregation of expert evaluations is based on the idea of the 'soft' consensus introduced by Kacprzyk and Fedrizzi in 1986. The alternatives which are evaluated "good enough" by a "sufficient amount" of "important" experts are identified and those alternatives formthe set of possible solutions. In this paper we briefly recall the steps of the multi-expert 'soft' consensus reaching method by Sukač et al. and discuss its performance on practical examples in comparison with one of the most commonly used ME-MCDM approaches based on the weighted average of expert fuzzy evaluations. The center of gravity based ordering is applied to select the best evaluated alternative in this case. This way the paper analyzes the performance of the 'soft' consensus based MCDM method in the context of a well known benchmark and points out the added value of the 'soft' consensus based MCDM model.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 34th International Conference on Mathematical Methods in Economics MME 2016

ISBN

978-80-7494-296-9

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

791-796

Publisher name

Technical University of Liberec

Place of publication

Liberec

Event location

Liberec

Event date

Sep 6, 2016

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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