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Title:
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Modeling group assessments by means of hesitant fuzzy linguistic term sets
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Author:
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Montserrat Adell, Jordi; Agell, Nuria; Sánchez Soler, Monica; Prats Duaygues, Francesc; Ruiz Vegas, Francisco Javier
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Matemàtiques; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
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Abstract:
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Hesitant linguistic term sets have been introduced to capture the human way of reasoning using linguistic expressions involving different levels of precision. In this paper, a lattice structure is provided to the set of hesitant fuzzy linguistic term sets by means of the operations intersection and connected union. In addition, in a group decision making framework, hesitant fuzzy linguistic descriptions are defined to manage situations in which decision makers are assessing different alternatives by means of hesitant fuzzy linguistic term sets. Based on the introduced lattice structure, two distances between hesitant fuzzy linguistic descriptions are defined. These metric structures allow distances between decision makers to be computed. A centroid of the decision making group is proposed for each distance to model group representatives in the considered group decision making framework. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
-Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Programació matemàtica
-Artificial intelligence
-Information theory
-Linguistic modeling
-Group decision making
-Uncertainty and fuzzy reasoning
-Hesitant linguistic term sets
-Intel·ligència artificial
-Informació, Teoria de la
-Classificació AMS::68 Computer science::68T Artificial intelligence
-Classificació AMS::94 Information And Communication, Circuits::94D05 Fuzzy sets and logic |
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Rights:
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Document type:
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Article - Submitted version
Article |
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