Volume 10, Issue 1, 2017, Pages 970 - 985
Generalizing linguistic distributions in hesitant decision context
Authors
Guiqing Zhang1, gqzhang@mail.xjtu.edu.cn, Yuzhu Wu2, yzwu@stu.scu.edu.cn, Yucheng Dong2, ycdong@scu.edu.cn
1School of Finance and Economics, Xi’an Jiaotong University, Xi’an, 710049, China
2Business School, Sichuan University, Chengdu, 610065, China
Received 18 April 2017, Accepted 13 June 2017, Available Online 28 June 2017.
- DOI
- 10.2991/ijcis.2017.10.1.65How to use a DOI?
- Keywords
- decision making; computing with words; hesitant fuzzy linguistic term set; linguistic distribution
- Abstract
The hesitant fuzzy linguistic term set (HFLTS) and the linguistic distribution (LD) are becoming popular tools to describe decision makers’ linguistic preferences. By combining HFLTS and LD, this paper proposes a new concept called hesitant linguistic distribution (HLD), and then presents the transformation between HLDs and LDs and the basic comparison and aggregation operations to perform on HLDs. Following, comparisons among several linguistic expressions are made. Finally, the use and behavior mechanism of HLD in multiple attribute group decision making is demonstrated.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
Download article (PDF)
View full text (HTML)
Cite this article
TY - JOUR AU - Guiqing Zhang AU - Yuzhu Wu AU - Yucheng Dong PY - 2017 DA - 2017/06/28 TI - Generalizing linguistic distributions in hesitant decision context JO - International Journal of Computational Intelligence Systems SP - 970 EP - 985 VL - 10 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2017.10.1.65 DO - 10.2991/ijcis.2017.10.1.65 ID - Zhang2017 ER -