On Consistency and Priority Weights for Uncertain 2-Tuple Linguistic Preference Relations

被引:2
|
作者
Wu, Peng [1 ]
Zhu, Jiaming [1 ]
Zhou, Ligang [1 ,2 ]
Chen, Huayou [1 ]
Chen, Yu [1 ]
机构
[1] Anhui Univ, Sch Math Sci, Hefei 230601, Anhui, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, China Inst Mfg Dev, Nanjing 210044, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Group decision-making; Uncertain 2-tuple linguistic preference relations; Additive consistency; Uncertain 2-tuple linguistic priority weights; GROUP DECISION-MAKING; AGGREGATION OPERATORS; EVALUATION MODEL; VIKOR METHOD; COMPATIBILITY; INFORMATION;
D O I
10.2991/ijcis.d.191104.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Consistency and priority weights of preference relations are two important phases of decision-making process since the decision-making solutions are determined by them. Therefore, it is meaningful to investigate consistency and priority weights for preference relations. In this paper, consistency and uncertain 2-tuple linguistic priority weights of uncertain 2-tuple linguistic preference relations (U2TLPRs) are investigated. First, based on the additive consistency, an additive consistency index is developed to measure the additive consistency level of U2TLPRs. Second, a goal programming model is proposed to adjust the unacceptable additive consistent U2TLPR until it satisfies acceptable additive consistency. Furthermore, an optimization model is developed to derive the uncertain 2-tuple linguistic priority weights from an U2TLPR. Meanwhile, in group decision-making (GDM) problems, similarities and confidence degrees of decision makers (DMs) are defined to determine DMs' weights. Subsequently the properties of collective U2TLPR are discussed. Finally, the proposed methods are implemented in two examples including a GDM problem to verify the validity of the proposed methods. (C) 2019 The Authors. Published by Atlantis Press SARL.
引用
收藏
页码:1339 / 1352
页数:14
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