Similarity based fuzzy TOPSIS with OWA: Reflecting risk attitudes in multiple-criteria and multi-expert evaluation under uncertainty

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F25%3A73630630" target="_blank" >RIV/61989592:15210/25:73630630 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.cie.2025.111081" target="_blank" >https://doi.org/10.1016/j.cie.2025.111081</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cie.2025.111081" target="_blank" >10.1016/j.cie.2025.111081</a>

Result language

angličtina

Original language name

Similarity based fuzzy TOPSIS with OWA: Reflecting risk attitudes in multiple-criteria and multi-expert evaluation under uncertainty

Original language description

We present similarity based fuzzy Technique for Order of Preferences by Similarity to Ideal Solution (fTOPSIS) using ordered weighted averaging (OWA) operators. With OWA operators we extend the use of similarity based fTOPSIS in two ways. First in several types of real world engineering decision making problems the amount of criteria required to be satisfied to a high extent is more important than satisfying particular criteria; also in the aggregation of expert evaluations the amount of experts providing good/bad evaluations might be critical. This kind of generalization is now made possible by using OWA in the proposed method. Second by using linguistic quantifiers to define weights for OWA and allowing different quantification for the similarity to Fuzzy Positive Ideal Solution (FPIS) and Fuzzy Negative Ideal Solution (FNIS) we allow decision-maker’s risk preference to be reflected. This allows us to model risk-averse or risk-seeking decision making in fTOPSIS for the first time. Aggregation of multiple expert evaluations using fTOPSIS that considers specific linguistically expressed risk-attitude of the user of the final evaluation is now also enabled in fTOPSIS. The advantage of the proposed method lies in the ability to adjust the method according to decision makers’ risk preferences. Multiple expert evaluations can also now be aggregated according to the end-user’s risk preference. The proposal enables separate treatment of FPIS and FNIS using OWA operators to reflect decision maker’s optimism/pessimism. Presented findings show that by doing this we are able to reflect risk attitudes and receive different ranking corresponding with risk preferences.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50204 - Business and management

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

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

Name of the periodical

Computers and Industrial Engineering

ISSN

0360-8352

e-ISSN

1879-0550

Volume of the periodical

204

Issue of the periodical within the volume

June 2025

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

1-14

UT code for WoS article

001480561400001

EID of the result in the Scopus database

2-s2.0-105002017135