NDLI: A Likelihood-Based Qualitative Flexible Approach with Hesitant Fuzzy Linguistic Information

Content Provider	Springer Nature Link
Author	Tian, Zhang peng Wang, Jing Wang, Jian qiang Zhang, Hong yu
Copyright Year	2016
Abstract	The qualitative flexible multiple criteria method (QUALIFLEX) is a useful outranking method for multi-criteria decision analysis due to its flexibility in regard to cardinal and ordinal information. This paper puts forward an extended QUALIFLEX approach with a new likelihood-based comparison method to address multi-criteria decision-making problems in a hesitant fuzzy linguistic environment. The rankings produced by our new comparison method are more convincing than those obtained by existing methods, such as likelihood, distance measures, and the score function of hesitant fuzzy linguistic term sets or hesitant fuzzy linguistic elements. The proposed QUALIFLEX model, which is based on the likelihood-based comparison method, can measure the level of concordance or discordance of the complete preference order for tackling multi-criteria decision-making problems. Finally, two cases are presented as a comparative analysis between the proposed approach and other related methods. This example demonstrates the effectiveness and flexibility of the proposed methodology in the context of hesitant fuzzy linguistic information.
Starting Page	670
Ending Page	683
Page Count	14
File Format	PDF
ISSN	18669956
Journal	Cognitive Computation
Volume Number	8
Issue Number	4
e-ISSN	18669964
Language	English
Publisher	Springer US
Publisher Date	2016-04-07
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-criteria decision making Hesitant fuzzy linguistic term sets QUALIFLEX Likelihood Neurosciences Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Computational Biology/Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Cognitive Neuroscience Computer Science Applications Computer Vision and Pattern Recognition

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