Paper Info
Title
Intuitionistic fuzzy Bonferroni means.
Abstract
The Bonferroni mean (BM) was originally introduced by Bonferroni and then more recently generalized by Yager. The desirable characteristic of the BM is its capability to capture the interrelationship between input arguments. Nevertheless, it seems that the existing literature only considers the BM for aggregating crisp numbers instead of any other types of arguments. In this paper, we investigate the BM under intuitionistic fuzzy environments. We develop an intuitionistic fuzzy BM (IFBM) and discuss its variety of special cases. Then, we apply the weighted IFBM to multicriteria decision making. Some numerical examples are given to illustrate our results.
Year
DOI
Venue
2011
10.1109/TSMCB.2010.2072918
IEEE Transactions on Systems, Man, and Cybernetics, Part B
Keywords
Field
DocType
multicriteria decision making,fuzzy set theory,decision making,intuitionistic fuzzy environment,special case,existing literature,bonferroni mean (bm),desirable characteristic,input argument,weighted ifbm,ifbm,formal logic,crisp number,intuitionistic fuzzy bonferroni means,intuitionistic fuzzy number (ifn),numerical example,intuitionistic fuzzy bm,accuracy,investments,computer simulation,algorithms,cybernetics,intuition,medical diagnosis,uncertainty,economics,artificial intelligence,fuzzy number
Bonferroni mean,Argument,Bonferroni correction,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Cybernetics,Medical diagnosis
Journal
Volume
Issue
ISSN
41
2
1941-0492
Citations 
PageRank 
References 
56
2.53
10
Authors
2
Name
Order
Citations
PageRank
Zeshui Xu114310599.02
Ronald R. Yager2986206.03