Computing with words in decision making using fuzzy cognitive maps

Fuzzy cognitive maps have received increasing attention for the representation of causal knowledge, being especially useful in decision situations. In this paper a model for decision making based on fuzzy cognitive maps using the paradigm of computing with words in order to pro...

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Main Authors: Karina Pérez-Teruel, Maikel Leyva-Vázquez, Macarena Espinilla, Vivian Estrada-Sentí
Format: Article
Language:Spanish
Published: Universidad de Ciencias Informáticas 2014-04-01
Series:Revista Cubana de Ciencias Informáticas
Subjects:
Online Access:http://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=640&path[]=267
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spelling doaj-4207cbe33f714fdfb91ba5af60ec6b042020-11-25T00:33:28ZspaUniversidad de Ciencias InformáticasRevista Cubana de Ciencias Informáticas1994-15362227-18992014-04-01821934Computing with words in decision making using fuzzy cognitive mapsKarina Pérez-Teruel0Maikel Leyva-Vázquez1Macarena Espinilla2Vivian Estrada-Sentí3Universidad de las Ciencias Informáticas, Carretera a San Antonio de los Baños, km 2 ½, Torrens, Boyeros, La Habana, Cuba. CP.: 19370Universidad de las Ciencias Informáticas, Carretera a San Antonio de los Baños, km 2 ½, Torrens, Boyeros, La Habana, Cuba. CP.: 19370Universidad de Jaén, España. Campus Las Lagunillas. 23071. JaénUniversidad de las Ciencias Informáticas, Carretera a San Antonio de los Baños, km 2 ½, Torrens, Boyeros, La Habana, Cuba. CP.: 19370Fuzzy cognitive maps have received increasing attention for the representation of causal knowledge, being especially useful in decision situations. In this paper a model for decision making based on fuzzy cognitive maps using the paradigm of computing with words in order to provide causal models that are easily understood is proposed. To this end, we propose the use of linguistic representation model based on linguistic 2-tuple, which provides results in this domain. The main advantage of the proposed decision-making based on fuzzy cognitive map model is that allows to increase the interpretability of the causal models and the results of the simulations are performed to evaluate the alternatives, and this fact useful in making decision. Finally, the paper presents an illustrative example of the model presented in the scenario analysis applied to software architecture in a business organization.http://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=640&path[]=267Computing with wordsdecision makingfuzzy cognitive mapsscenario analysis
collection DOAJ
language Spanish
format Article
sources DOAJ
author Karina Pérez-Teruel
Maikel Leyva-Vázquez
Macarena Espinilla
Vivian Estrada-Sentí
spellingShingle Karina Pérez-Teruel
Maikel Leyva-Vázquez
Macarena Espinilla
Vivian Estrada-Sentí
Computing with words in decision making using fuzzy cognitive maps
Revista Cubana de Ciencias Informáticas
Computing with words
decision making
fuzzy cognitive maps
scenario analysis
author_facet Karina Pérez-Teruel
Maikel Leyva-Vázquez
Macarena Espinilla
Vivian Estrada-Sentí
author_sort Karina Pérez-Teruel
title Computing with words in decision making using fuzzy cognitive maps
title_short Computing with words in decision making using fuzzy cognitive maps
title_full Computing with words in decision making using fuzzy cognitive maps
title_fullStr Computing with words in decision making using fuzzy cognitive maps
title_full_unstemmed Computing with words in decision making using fuzzy cognitive maps
title_sort computing with words in decision making using fuzzy cognitive maps
publisher Universidad de Ciencias Informáticas
series Revista Cubana de Ciencias Informáticas
issn 1994-1536
2227-1899
publishDate 2014-04-01
description Fuzzy cognitive maps have received increasing attention for the representation of causal knowledge, being especially useful in decision situations. In this paper a model for decision making based on fuzzy cognitive maps using the paradigm of computing with words in order to provide causal models that are easily understood is proposed. To this end, we propose the use of linguistic representation model based on linguistic 2-tuple, which provides results in this domain. The main advantage of the proposed decision-making based on fuzzy cognitive map model is that allows to increase the interpretability of the causal models and the results of the simulations are performed to evaluate the alternatives, and this fact useful in making decision. Finally, the paper presents an illustrative example of the model presented in the scenario analysis applied to software architecture in a business organization.
topic Computing with words
decision making
fuzzy cognitive maps
scenario analysis
url http://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=640&path[]=267
work_keys_str_mv AT karinaperezteruel computingwithwordsindecisionmakingusingfuzzycognitivemaps
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AT macarenaespinilla computingwithwordsindecisionmakingusingfuzzycognitivemaps
AT vivianestradasenti computingwithwordsindecisionmakingusingfuzzycognitivemaps
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