期刊
KNOWLEDGE-BASED SYSTEMS
卷 82, 期 -, 页码 139-151出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.knosys.2015.03.003
关键词
Linguistic 2-tuples; Unbalanced linguistic term set; Distribution assessments; Multi-granular linguistic contexts; Multiple attribute group decision making
资金
- NSF of China [71171160, 71201122]
- Sichuan University [skqx201308]
- Ministry of Education of China [IRT1173]
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.
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