Journal
KNOWLEDGE-BASED SYSTEMS
Volume 99, Issue -, Pages 71-78Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.knosys.2016.01.047
Keywords
Group decision making; Incomplete hesitant fuzzy preference relations; Multiplicative consistency; Additive consistency; Priority weights
Categories
Funding
- National Natural Science Foundation of China (NSFC) [71101043, 71471056, 71433003]
- Fundamental Research Funds for the Central Universities [2015B23014]
- Program for Excellent Talents in Hohai University, State Scholarship Fund [201406715021]
- Spanish Ministry of Economy and Finance Postdoctoral Training [FPDI-2013-18193]
Ask authors/readers for more resources
The concept of hesitant fuzzy preference relation (HFPR) has been recently introduced to allow the decision makers (DMs) to provide several possible preference values over two alternatives. This paper introduces a new type of fuzzy preference structure, called incomplete HFPRs, to describe hesitant and incomplete evaluation information in the group decision making (GDM) process. Furthermore, we define the concept of multiplicative consistency incomplete HFPR and additive consistency incomplete HFPR, and then propose two goal programming models to derive the priority weights from an incomplete HFPR based on multiplicative consistency and additive consistency respectively. These two goal programming models are also extended to obtain the collective priority vector of several incomplete HFPRs. Finally, a numerical example and a practical application in strategy initiatives are provided to illustrate the validity and applicability of the proposed models. (C) 2016 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