Intuitionistic Fuzzy Cognitive Maps for Corporate Performance Modeling
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Intuitionistic Fuzzy Cognitive Maps for Corporate Performance Modeling
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-10331S" target="_blank" >GA13-10331S: The role of text information in corporate financial distress prediction models – country-specific and industry-specific approaches</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
6
Pages from-to
683-688
Publisher name
Západočeská univerzita v Plzni
Place of publication
Plzeň
Event location
Cheb
Event date
Sep 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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