Journal
KNOWLEDGE-BASED SYSTEMS
Volume 82, Issue -, Pages 139-151Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.knosys.2015.03.003
Keywords
Linguistic 2-tuples; Unbalanced linguistic term set; Distribution assessments; Multi-granular linguistic contexts; Multiple attribute group decision making
Categories
Funding
- NSF of China [71171160, 71201122]
- Sichuan University [skqx201308]
- Ministry of Education of China [IRT1173]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available