标题:An aggregating method to big group decision-making problem for the public participation problem under the Chinese situation
作者:You, Xinshang; Yang, Qing
作者机构:[You, Xinshang] Shandong Univ Sci & Technol, Coll Econ & Management, Qingdao, Peoples R China.; [Yang, Qing] Shanxi Univ Finance & Econ, Fac Account 更多
通讯作者:You, Xinshang;You, XS
通讯作者地址:[You, XS]Shandong Univ Sci & Technol, Coll Econ & Management, Qingdao, Peoples R China.
来源:JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
出版年:2019
卷:36
期:1
页码:487-504
DOI:10.3233/JIFS-18615
关键词:Big group decision making; Intuitionistic fuzzy number; Clustering; analysis; TOPSIS method; public participation
摘要:A big group decision making problem is investigated, under the intuitionistic fuzzy environment and multiple constrains. Firstly, this paper proposes a distance formula between different intuitionistic fuzzy numbers, to measure their dissimilarity degree. A numerical example is introduced to demonstrate the advantages of the proposed distance measure over the others' formula. Secondly, an optimizing model is constructed to calculate the criteria's weight values, making the proposed method suitable for weight unknown problems. Thirdly, clustering idea is introduced to handle big data caused by big decision group. Here, a clustering algorithm is given which could classify the participating people. Meanwhile, computer experiments is utilized to handle the calculation question with respect to big data. Clustering result is based on many times of evolutions, which are obtained by a computer procedure. To derive final ranking results, an extended TOPSIS method is applied depending on the proposed distance measure and clustering results. In summary, a decision making algorithm is clearly shown in form of flow chart. Finally, an experimental analysis for selecting proper library construction is given to illustrate the efficiency and reasonableness of the proposed method.
收录类别:EI;SCIE;SSCI
资源类型:期刊论文
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