Interval-valued intuitionistic fuzzy cognitive maps for supplier selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39911537" target="_blank" >RIV/00216275:25410/18:39911537 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-59421-7_19" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-59421-7_19</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-59421-7_19" target="_blank" >10.1007/978-3-319-59421-7_19</a>
Alternative languages
Result language
angličtina
Original language name
Interval-valued intuitionistic fuzzy cognitive maps for supplier selection
Original language description
Fuzzy cognitive maps (FCMs) are used to aid decision-making in complex highly nonlinear problems dealing with uncertainty. In FCMs, decision concepts are linked in order to represent causal relationships. In business decision-making, it is difficult to precisely estimate the strengths of the relationships. To address this issue, we propose interval-valued intuitionistic FCMs (IVIFCMs). A multi-criteria decision making method is introduced in which the concepts of IVIFCM represent criteria and the edges represent interaction effects among the criteria. To identify the best alternative, the steady state solution of the IVIFCM is compared with the desired values of the concepts. The proposed method provides us with an effective tool for multi-attribute decision making in complex decision-making problems with a strong uncertainty.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-19590S" target="_blank" >GA16-19590S: Topic and sentiment analysis of multiple textual sources for corporate financial decision-making</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Intelligent Decision Technologies 2017. KES-IDT 2017. Part I
ISBN
978-3-319-59420-0
ISSN
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e-ISSN
neuvedeno
Number of pages
11
Pages from-to
207-217
Publisher name
Springer
Place of publication
Berlin
Event location
Algarve
Event date
Jun 21, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000432721700019