Intuitionistic Fuzzy Cognitive Maps for Corporate Performance Modeling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899801" target="_blank" >RIV/00216275:25410/15:39899801 - isvavai.cz</a>

Výsledek na webu

<a href="http://mme2015.zcu.cz/downloads/MME_2015_proceedings.pdf" target="_blank" >http://mme2015.zcu.cz/downloads/MME_2015_proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Intuitionistic Fuzzy Cognitive Maps for Corporate Performance Modeling

Popis výsledku v původním jazyce

Fuzzy cognitive maps (FCMs) extend cognitive maps to design both the concepts and the relations between the concepts more accurately. The original causality may be represented by a fuzzy relation to express the uncertainty in causal connections. Intuitionistic FCMs (iFCMs) generalize the FCMs with a strong capacity to express uncertainty and to handle hesitancy in decision making. Despite the increasing body of business decision-making literature using intuitionistic fuzzy sets, no attention has been paid to business applications of iFCMs. This paper develops an iFCM model for corporate performance modeling. Here we combined text analysis with knowledge acquisition from experts to assess the connections in the iFCMs. In the analysis of the designed system, we focus on the target concepts represented by sales, costs and profitability. We tested two models of iFCMs, one with hesitancy in connections and the other one with hesitancy in both connections and concept values. We show that the

Název v anglickém jazyce

Intuitionistic Fuzzy Cognitive Maps for Corporate Performance Modeling

Popis výsledku anglicky

Fuzzy cognitive maps (FCMs) extend cognitive maps to design both the concepts and the relations between the concepts more accurately. The original causality may be represented by a fuzzy relation to express the uncertainty in causal connections. Intuitionistic FCMs (iFCMs) generalize the FCMs with a strong capacity to express uncertainty and to handle hesitancy in decision making. Despite the increasing body of business decision-making literature using intuitionistic fuzzy sets, no attention has been paid to business applications of iFCMs. This paper develops an iFCM model for corporate performance modeling. Here we combined text analysis with knowledge acquisition from experts to assess the connections in the iFCMs. In the analysis of the designed system, we focus on the target concepts represented by sales, costs and profitability. We tested two models of iFCMs, one with hesitancy in connections and the other one with hesitancy in both connections and concept values. We show that the

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-10331S" target="_blank" >GA13-10331S: Úloha textové informace v modelech predikce finanční tísně podniků - přístupy specifické podle států a průmyslových odvětví</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 33rd International conference Mathematical Methods in Economics

ISBN

978-80-261-0539-8

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

683-688

Název nakladatele

Západočeská univerzita v Plzni

Místo vydání

Plzeň

Místo konání akce

Cheb

Datum konání akce

9. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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