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基于个人区间复合标度的一致决策模型
引用本文:黄海燕,刘晓明.基于个人区间复合标度的一致决策模型[J].系统工程理论与实践,2018,38(8):2079-2087.
作者姓名:黄海燕  刘晓明
作者单位:中国人民解放军陆军工程大学 指挥信息系统学院, 南京 210007
基金项目:国家自然科学基金(61174198)
摘    要:为更好地解决一致决策过程中不同决策者的偏好信息表示,以及一致程度判定等问题,提出一种基于区间复合标度的二元语义模型,可实现从词到数值区间的转化过程以及数值区间到词的再转化过程.提出一种基于个人区间复合标度的一致决策模型,决策者个人有不同的语言表示模型,同时突出决策过程中的转化和再转化过程,可对整个决策过程的一致状态进行判断.提出的模型考虑了人们思维的模糊性以及认知的差异性,并为解决复杂的一致决策问题提供了量化模型与评价依据.

关 键 词:一致决策  个人区间复合标度  二元语义  模糊性  
收稿时间:2017-08-07

A consensus decision making model with personalized interval composite scales
HUANG Haiyan,LIU Xiaoming.A consensus decision making model with personalized interval composite scales[J].Systems Engineering —Theory & Practice,2018,38(8):2079-2087.
Authors:HUANG Haiyan  LIU Xiaoming
Institution:Institute of Command Information System, Army Engineering University of PLA, Nanjing 210007, China
Abstract:Considering that different people are different in their linguistic preference and in order to determine the consensus state for supporting consensus decision making, this paper first proposes an interval composite scale based 2-tuple linguistic model, which realizes the process of translation from word to interval numerical and the process of retranslation from interval numerical to word. A consensus decision making model with personalized interval composite scales is proposed, which can provide different linguistic representation models for different decision-makers. This model includes a semantic translation and retranslation phase during decision process and determines the consensus state of the whole decision process. These models proposed take into full consideration that human language contains fuzziness and usually real-world preferences are uncertain, and provide efficient computation models to support consensus decision making.
Keywords:consensus decision making  personalized interval composite scale  linguistic 2-tuple  fuzziness  
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