Title
Fusions and preference relations based on probabilistic interval-valued hesitant fuzzy information in group decision making
Abstract
This paper proposes probabilistic interval-valued hesitant fuzzy set (P-IVHFS) by integrating the probability distribution into IVHFS. The concept can make some vital but seemingly repetitive information [such as the same memberships of interval forms given by different decision makers (DMs)], which is an important basis for decision-making rather than being discarded. Moreover, some operations and aggregation operators of probabilistic interval-valued hesitant fuzzy elements (P-IVHFEs) and probabilistic interval-valued hesitant fuzzy preference relation (P-IVHFPR) are put forward, based on which, a decision-making model is proposed. It can keep almost all information given by the DMs so that the results calculated with the model will be much more reliable than those calculated with approaches based on IVHFSs. Finally, a practical case concerning the evaluation of intelligent transportation systems is given to verify the advantages of the proposed decision-making approach based on P-IVHFPRs.
Year
DOI
Venue
2019
10.1007/s00500-018-3465-6
soft computing
Keywords
Field
DocType
Probability, Interval numbers, Information aggregation, Preference relation, Group decision making
Preference relation,Computer science,Fuzzy logic,Fuzzy set,Theoretical computer science,Probability distribution,Operator (computer programming),Probabilistic logic,Intelligent transportation system,Group decision-making
Journal
Volume
Issue
ISSN
23
17
1433-7479
Citations 
PageRank 
References 
1
0.35
26
Authors
4
Name
Order
Citations
PageRank
Shen Zhang1301.77
Zeshui Xu214310599.02
Zeshui Xu314310599.02
Hangyao Wu410.35