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诱导广义区间值直觉不确定语言混合Shapley算子及在群决策中的应用
引用本文:刘力强,冯俊文. 诱导广义区间值直觉不确定语言混合Shapley算子及在群决策中的应用[J]. 系统工程理论与实践, 2016, 36(10): 2661-2672. DOI: 10.12011/1000-6788(2016)10-2661-12
作者姓名:刘力强  冯俊文
作者单位:南京理工大学 经济管理学院, 南京 210094
基金项目:国家自然科学基金(71272164);教育部人文社会科学基金(10YJA630031)
摘    要:本文针对具有区间值直觉不确定语言信息的多属性群决策,定义了两个广义混合累积算子.它们不仅综合考虑了属性自身及序位置的重要性,同时考虑了它们各自间的交互作用.值得一提的是:许多区间值直觉不确定语言累积算子是本文所定义算子的特例.当权重信息不完全已知时,建立了关于专家集、属性集和相应序位置集合上最优模糊测的数学规划模型.基于所定义的算子和建立的数学模型,提出了一种新的区间值直觉不确定语言多属性群决策方法.最后,通过对一个城市图书馆空调系统的评价来说明所给方法的具体应用.

关 键 词:多属性群决策  区间值直觉不确定语言变量  TOPSIS法  模糊测度  Shapley函数  
收稿时间:2016-04-10

Induced generalized interval-valued intuitionistic uncertain linguistic hybrid Shapley operators and their application in decision making
LIU Liqiang,FENG Junwen. Induced generalized interval-valued intuitionistic uncertain linguistic hybrid Shapley operators and their application in decision making[J]. Systems Engineering —Theory & Practice, 2016, 36(10): 2661-2672. DOI: 10.12011/1000-6788(2016)10-2661-12
Authors:LIU Liqiang  FENG Junwen
Affiliation:School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
Abstract:With respect to interval-valued intuitionistic uncertain linguistic sets, two induced generalized hybrid aggregation operators are defined, which do not only globally consider the importance of elements and their ordered positions but also overall reflect their correlations. It is worth noting that many interval-valued intuitionistic uncertain linguistic aggregation operators are special cases of our operators. If the weight vectors are incompletely known, models for the optimal fuzzy measures on an expert set, on an attribute set and on their ordered sets are respectively established. As a series of development, an approach to interval-valued intuitionistic uncertain linguistic multi-attribute group decision making with incomplete weight information and interactive characteristics is developed, and an illustrative example is provided to show the concrete application of the proposed procedure.
Keywords:multi-attribute group decision making  interval-valued intuitionistic uncertain linguistic variable  TOPSIS method  fuzzy measure  Shapley function
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