Modeling dependence and feedback in ANP with fuzzy cognitive maps

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F12%3A%230002142" target="_blank" >RIV/47813059:19520/12:#0002142 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Modeling dependence and feedback in ANP with fuzzy cognitive maps

Popis výsledku v původním jazyce

The objective of multi-criteria decision making is to select the best alternative from a set of feasible alternatives with regard to a given set of criteria. To include dependence and feedback among criteria analytic network process (ANP) was proposed byT. L. Saaty. However, ANP have two disadvantages: firstly, it is difficult to provide correct network structure among criteria even for experts, and different structures lead to different results. Secondly, to form a supermatrix all criteria have to bepair-wise compared with regard to all other criteria, which is difficult and also unnatural. To circumvent these problems criteria network structure in ANP can be modeled with fuzzy cognitive maps. The aim of this article is to propose the hybrid eigenvalue-fuzzy cognitive map method (HEFCM) for the derivation of criteria weights. In the first step of HEFCM initial (local) weights of criteria are determined by Saaty's eigenvalue method. In the second step contribution to criteria ...

Název v anglickém jazyce

Modeling dependence and feedback in ANP with fuzzy cognitive maps

Popis výsledku anglicky

The objective of multi-criteria decision making is to select the best alternative from a set of feasible alternatives with regard to a given set of criteria. To include dependence and feedback among criteria analytic network process (ANP) was proposed byT. L. Saaty. However, ANP have two disadvantages: firstly, it is difficult to provide correct network structure among criteria even for experts, and different structures lead to different results. Secondly, to form a supermatrix all criteria have to bepair-wise compared with regard to all other criteria, which is difficult and also unnatural. To circumvent these problems criteria network structure in ANP can be modeled with fuzzy cognitive maps. The aim of this article is to propose the hybrid eigenvalue-fuzzy cognitive map method (HEFCM) for the derivation of criteria weights. In the first step of HEFCM initial (local) weights of criteria are determined by Saaty's eigenvalue method. In the second step contribution to criteria ...

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

<a href="/cs/project/GA402%2F09%2F0405" target="_blank" >GA402/09/0405: Rozvoj nestandardních optimalizačních metod a jejich aplikace v ekonomii a managementu</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 30th international conference Mathematical methods in economics 2012

ISBN

978-80-7248-779-0

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

558-563

Název nakladatele

Slezská univerzita v Opavě, Obchodně podnikatelská fakulta v Karviné

Místo vydání

Karviná

Místo konání akce

Karviná

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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