Computing Distances between Decision Makers Using Hesitant Fuzzy Linguistic Term Sets
Computing Distances between Decision Makers Using Hesitant Fuzzy Linguistic Term Sets
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DOI：
10.3233/978-1-61499-578-4-71
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
N. Agell;M. Sánchez;F. Prats;F. J. Ruiz
中科院分区：
文献类型：
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作者：
N. Agell;M. Sánchez;F. Prats;F. J. Ruiz
给定一个有限的全序语言项集，交和连通并运算为模糊模糊语言项集提供了一个格结构。在这个框架中，犹豫的模糊语言描述的一组给定的替代品被认为是。基于格的性质，引入了犹豫模糊语言描述之间的距离。这种度量结构允许计算决策者之间的距离。在群决策过程中，决策者通过模糊语言术语集来评估不同的备选方案。
Given a finite totally ordered set of linguistic terms, the operations intersection and connected union provide a lattice structure to the set of hesitant fuzzy linguistic term sets. In this framework, hesitant fuzzy linguistic descriptions of a given set of alternatives are considered. A distance between hesitant fuzzy linguistic descriptions is introduced based on the properties of the lattice. This metric structure allows distances between decision makers to be computed. A centroid or group representative is defined in group decision-making processes where decision makers are assessing different alternatives by means of hesitant fuzzy linguistic term sets.