Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39914848" target="_blank" >RIV/00216275:25410/19:39914848 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0020025519301288" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0020025519301288</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ins.2019.02.035" target="_blank" >10.1016/j.ins.2019.02.035</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making

Popis výsledku v původním jazyce

Many real-life situations require ranking alternative decisions with respect to multiple criteria. The problem becomes more complicated when the knowledge of the considered criteria is vague and unreliable. In order to cope with the vagueness, the values of criteria have to be represented in an approximated way. To overcome the lack of reliability, many experts can be involved in the decision process and thus cooperatively elaborate more credible decisions. However, as it turns out, experts are usually unable to provide plausible information on interactions between vague decision criteria. Since those interactions substantially affect the ranking of alternative decisions, they should be taken into account in the decision process. To effectively cope with that issue, we propose a novel multi-criteria group decision-making method that integrates TOPSIS (technique for order of preference by similarity to ideal solution) with IVIFCMs (interval-valued intuitionistic fuzzy cognitive maps), a tool that is able to model interactions among highly imprecise criteria. We illustrate the application of the proposed IVIFCM-TOPSIS to the supplier selection task. Finally, we present the advantages derived from the use of our method compared to competitive approaches known from the literature. In particular, we show that our method is more consistent than the existing state-of-the-art methods used to solve the addressed decision problem. (C) 2019 Elsevier Inc. All rights reserved.

Název v anglickém jazyce

Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making

Popis výsledku anglicky

Many real-life situations require ranking alternative decisions with respect to multiple criteria. The problem becomes more complicated when the knowledge of the considered criteria is vague and unreliable. In order to cope with the vagueness, the values of criteria have to be represented in an approximated way. To overcome the lack of reliability, many experts can be involved in the decision process and thus cooperatively elaborate more credible decisions. However, as it turns out, experts are usually unable to provide plausible information on interactions between vague decision criteria. Since those interactions substantially affect the ranking of alternative decisions, they should be taken into account in the decision process. To effectively cope with that issue, we propose a novel multi-criteria group decision-making method that integrates TOPSIS (technique for order of preference by similarity to ideal solution) with IVIFCMs (interval-valued intuitionistic fuzzy cognitive maps), a tool that is able to model interactions among highly imprecise criteria. We illustrate the application of the proposed IVIFCM-TOPSIS to the supplier selection task. Finally, we present the advantages derived from the use of our method compared to competitive approaches known from the literature. In particular, we show that our method is more consistent than the existing state-of-the-art methods used to solve the addressed decision problem. (C) 2019 Elsevier Inc. All rights reserved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA16-19590S" target="_blank" >GA16-19590S: Analýza témat a sentimentu vícenásobných textových zdrojů pro finanční rozhodování podniků</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Information Sciences

ISSN

0020-0255

e-ISSN

—

Svazek periodika

485

Číslo periodika v rámci svazku

June

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

394-412

Kód UT WoS článku

000463121600022

EID výsledku v databázi Scopus

2-s2.0-85061664222