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Linguistic Multiperson Decision Making Based On The Use Of Multiple Preference Relations

机译:基于多重偏好关系的语言多人决策

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In multiperson decision making situations, it is quite natural that different decision makers who may have different background and knowledge will provide their preferences by different kinds of preference relations. This paper proposes a linguistic multiperson decision making model (LMDMM) based on linguistic preference relations, integrating fuzzy preference relations, different types of multiplicative preference relations and multigranular linguistic preference relations. In the LMDMM, several transformation functions are first obtained to relate fuzzy preference relations and different types of multiplicative preference relations with multigranular linguistic preference relations. Then, we design the selection process of the LMDMM, based on the use of the fuzzy majority and the extended ordered weighted averaging operator (or the 2-tuple ordered weighted averaging operator), and discuss conditions under which the proposed selection process satisfies the social choice axioms. At last, we analyze the internal consistency of the proposed transformation functions. The results in this paper are helpful to complete Chiclana et al.'s fuzzy decision model [Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations. Fuzzy Sets and Systems 97 (1998) 33-48].
机译:在多人决策环境中,具有不同背景和知识的不同决策者将通过不同种类的偏好关系提供他们的偏好是很自然的。本文提出了一种基于语言偏好关系,融合模糊偏好关系,不同类型的乘法偏好关系和多颗粒语言偏好关系的语言多人决策模型(LMDMM)。在LMDMM中,首先获得几个转换函数,以将模糊偏好关系和不同类型的乘法偏好关系与多颗粒语言偏好关系相关联。然后,我们基于模糊多数和扩展有序加权平均算子(或2元组有序加权平均算子)的使用,设计LMDMM的选择过程,并讨论提出的选择过程满足社会需求的条件。选择公理。最后,我们分析了所提出的变换函数的内部一致性。本文的结果有助于完成Chiclana等人的模糊决策模型[将三个表示模型集成在基于模糊偏好关系的模糊多用途决策中。模糊集和系统97(1998)33-48]。

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