A novel group decision making method with intuitionistic fuzzy preference relations for RFID technology selection
A novel group decision making method with intuitionistic fuzzy preference relations for RFID technology selection
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一种新颖的具有直观模糊偏好关系的 RFID 技术选择群体决策方法
DOI：
10.1016/j.asoc.2015.09.039
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发表时间：
2016
影响因子：
8.7
通讯作者：
Dong, Jiu-Ying
中科院分区：
文献类型：
--
作者：
Wan, Shu-Ping;Wang, Feng;Dong, Jiu-Ying
更科学的射频识别(RFID)技术选择决策过程对提高RFID技术应用成功率具有重要意义。将RFID技术选择问题归结为一类具有直觉模糊偏好关系的群决策问题。本文提出了一种解决这类问题的新方法。首先，提出了一种基于理想解相似度排序技术(TOPSIS)的直觉模糊值排序方法。为了尽可能地获得更高的群体共识，我们构建了一个直观的模糊线性规划模型来确定专家的权重。根据隶属度函数和非隶属度函数的构造，建立了三种求解直觉模糊线性规划模型的方法：乐观方法、悲观方法和混合方法。然后，将量词引导的非优势度(QGNDD)和量词引导的优势度(QGDD)扩展到直觉模糊环境中，从集合IFPR中得到方案的排序。设计了一种新的基于QGNDD和QGDD的两阶段方案排序方法。从而对带IFPR的GDM问题提出了相应的解决方法。进一步讨论了所建立的直觉模糊线性规划模型的一些推广。最后，通过一个实际的RFID技术选择实例说明了该方法的有效性。
A more scientific decision making process for radio frequency identification (RFID) technology selection is important to increase success rate of RFID technology application. RFID technology selection can be formulated as a kind of group decision making (GDM) problem with intuitionistic fuzzy preference relations (IFPRs). This paper develops a novel method for solving such problems. First, A technique for order preference by similarity to ideal solution (TOPSIS) based method is presented to rank intuitionistic fuzzy values (IFVs). To achieve higher group consensus as well as possible, we construct an intuitionistic fuzzy linear programming model to derive experts’ weights. Depending on the construction of membership and non-membership functions, the constructed intuitionistic fuzzy linear programming model is solved by three kinds of approaches: optimistic approach, pessimistic approach and mixed approach. Then to derive the ranking order of alternatives from the collective IFPR, we extend quantifier guided non-dominance degree (QGNDD) and quantifier guided dominance degree (QGDD) to intuitionistic fuzzy environment. A new two-phase ranking approach is designed to generate the ordering of alternatives based on QGNDD and QGDD. Thereby, the corresponding method is proposed for the GDM problems with IFPRs. Some generalizations on the constructed intuitionistic fuzzy linear programming model are further discussed. At length, the validity of the proposed method is illustrated with a real-world RFID technology selection example.
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影响因子：
1.2
作者：
Zeshui Xu
通讯作者：
Zeshui Xu
影响因子：
5.4
作者：
Nils Brunsson
通讯作者：
Nils Brunsson
影响因子：
5.2
作者：
ohit Kumar
通讯作者：
ohit Kumar
DOI：
10.2298/csis130109046s
发表时间：
2014
期刊：
Comput. Sci. Inf. Syst.
影响因子：
--
作者：
Shouzhen Zeng;Qifeng Wang;J. Merigó;Tiejun Pan
通讯作者：
Shouzhen Zeng;Qifeng Wang;J. Merigó;Tiejun Pan
DOI：
10.1016/j.ins.2010.08.002
发表时间：
2011
期刊：
Inf. Sci.
影响因子：
--
作者：
Zeshui Xu;Xiaoqiang Cai
通讯作者：
Zeshui Xu;Xiaoqiang Cai