Title
Intuitionistic fuzzy prioritized information aggregation operators based on einstein operations and their applications to MCDM
Abstract
In this paper, we proposed some prioritized aggregation operators based on Einstein operations to aggregate intuitionistic fuzzy information and the relationship between our defined operators and defined by others are discussed. Moreover, the procedure of MCDM based on the defined operators is given by IF environment. At last, a practical example is given to show the defined method.
Year
DOI
Venue
2017
10.1109/FSKD.2017.8392983
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Keywords
Field
DocType
intuitionistic fuzzy prioritized information aggregation operators,prioritized aggregation operators,intuitionistic fuzzy information,defined operators,Einstein operations,MCDM,multicriteria decision making,IF environment
Mathematical optimization,Einstein,Multiple-criteria decision analysis,Computer science,Fuzzy logic,Theoretical computer science,Knowledge extraction,Operator (computer programming),Information aggregation,Fuzzy control system
Conference
ISBN
Citations 
PageRank 
978-1-5386-2166-0
0
0.34
References 
Authors
21
2
Name
Order
Citations
PageRank
Kefeng Li192.97
Bin Chen23517.45