标题:Interval neutrosophic stochastic multiple attribute decision-making method based on cumulative prospect theory and generalized Shapley function
作者:Nie, Tongtong; Liu, Peide; Han, Zuosheng
作者机构:[Nie, Tongtong; Liu, Peide; Han, Zuosheng] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan, Shandong, Peoples R China.
通讯作者:Nie, TT;Nie, Tongtong
通讯作者地址:[Nie, TT]Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan, Shandong, Peoples R China.
来源:JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
出版年:2018
卷:35
期:3
页码:3911-3926
DOI:10.3233/JIFS-18988
关键词:Stochastic multiple-attribute decision making; interval neutrosophic; set; cumulative prospect theory; generalized shapley function
摘要:Concerning the discrete stochastic multi-attribute decision making (SMADM) problems in which attribute values are interval neutrosophic numbers and the attribute weight is incompletely known, a novel SMADM method based on the cumulative prospect theory (CPT) and generalized Shapley function is proposed. Firstly, the value prospect of each attribute under interval neutrosophic environment is calculated as well as subjective probability weights respectively, and the prospect function values are obtained according to the formulation of prospect function. Then, following the maximum deviation principle, the optimization model with respect to the incompletely known attribute weight information is constructed to obtain the optimal fuzzy measure, and the optimal weights of each attribute based on the formulation of generalized Shapley function are generated. Further, by aggregating the above prospect function values and the optimal weights, the values of the comprehensive prospect function are obtained and then alternatives are ranked. Finally, an illustrate example is presented to demonstrate the validity and feasibility of the proposed method.
收录类别:EI;SCIE;SSCI
资源类型:期刊论文
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