Multi-granular unbalanced linguistic distribution assessments with interval symbolic proportions

被引：158

作者：

Dong, Yucheng ^{[1
]}

Wu, Yuzhu ^{[1
]}

Zhang, Hengjie ^{[1
]}

Zhang, Guiging ^{[2
]}

机构：

[1] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China

[2] Xi An Jiao Tong Univ, Sch Finance & Econ, Xian 710049, Peoples R China

来源：

KNOWLEDGE-BASED SYSTEMS | 2015年 / 82卷

关键词：

Linguistic; 2-tuples; Unbalanced linguistic term set; Distribution assessments; Multi-granular linguistic contexts; Multiple attribute group decision making; GROUP DECISION-MAKING; AGGREGATION OPERATORS; NUMERICAL SCALE; TERM SETS; REPRESENTATION MODEL; METHODOLOGY; CONSISTENCY; 2-TUPLES; DEAL;

D O I：

10.1016/j.knosys.2015.03.003

中图分类号：

TP18 [人工智能理论];

学科分类号：

140502 [人工智能];

摘要：

Linguistic distribution assessments with exact symbolic proportions have been recently presented. Due to various subjective and objective conditions, it is often difficult for decision makers to provide exact symbolic proportions in linguistic distribution assessments. In some situations, decision makers will express their preferences in multi-granular unbalanced linguistic contexts. Therefore, in this study, we propose the concept of linguistic distribution assessments with interval symbolic proportions under multi-granular unbalanced linguistic contexts. First, the weighted averaging operator and the ordered weighted averaging operator for the linguistic distribution assessments with interval symbolic proportions are presented. Then, we develop the transformation functions among the multi-granular unbalanced linguistic distribution assessments with interval symbolic proportions. Finally, we present the application of the proposed linguistic distribution assessments in multiple attribute group decision making. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：139 / 151

页数：13

共 52 条

[1]

Abchir MA, 2013, KYBERNETIKA, V49, P164

[2]

TOPSIS for Hesitant Fuzzy Linguistic Term Sets [J].