Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions
In decision making problems, decision makers may prefer to use more flexible linguistic expressions in- stead of using only one linguistic term to express their preferences. The recent proposals of hesitant fuzzy linguistic terms sets (HFLTSs) are developed to support the elicitation of comparative...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad de Jaén |
| Repositorio: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:ruja.ujaen.es:10953/2267 |
| Acceso en línea: | https://www.sciencedirect.com/science/article/pii/S095070511830011X https://hdl.handle.net/10953/2267 |
| Access Level: | acceso abierto |
| Palabra clave: | Group decision making Hesitant fuzzy linguistic term sets Comparative linguistic expressions Personalized individual semantics Numerical scale |
| Sumario: | In decision making problems, decision makers may prefer to use more flexible linguistic expressions in- stead of using only one linguistic term to express their preferences. The recent proposals of hesitant fuzzy linguistic terms sets (HFLTSs) are developed to support the elicitation of comparative linguistic expressions in hesitant decision situations. In group decision making (GDM), the statement that words mean different things for different people has been highlighted and it is natural that a word should be defined by individual semantics described by different numerical values. Considering this statement in hesitant linguistic decision making, the aim of this paper is to personalize individual semantics in the hesitant GDM with comparative linguistic expressions to show the individual difference in understanding the meaning of words. In our study, the personalized individual semantics are carried out by the fuzzy envelopes of HFLTSs based on the personalized numerical scales of linguistic term set. |
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