Paper Info
Title
A Three-Way Decision Model Based On Intuitionistic Fuzzy Decision Systems
Abstract
The similarity degree and divergence degree between intuitionistic fuzzy objects are defined respectively, and the related properties are presented in this paper. Then, we define the (alpha, beta)-level cutsets based on intuitionistic fuzzy similarity relation under decision objective circumstances. Moreover, the upper and lower approximation sets of objective sets are derived by utilizing the defined rough membership function. Some properties of the derived upper and lower approximations are discussed, and a ranking method for intuitionistic fuzzy numbers is proposed. According to Bayesian decisions, an intuitionistic fuzzy three-way decision-theoretic model and a rule induction algorithm based on intuitionistic fuzzy decision systems are constructed. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
Year
DOI
Venue
2017
10.1007/978-3-319-60840-2_18
ROUGH SETS, IJCRS 2017, PT II
Keywords
Field
DocType
Similarity degree, Divergence degree, Intuitionistic fuzzy decision systems, Three-way decisions
Decision tree,Mathematical optimization,Linear partial information,Fuzzy logic,Influence diagram,Decision model,Evidential reasoning approach,Fuzzy number,Membership function,Mathematics
Conference
Volume
ISSN
Citations 
10314
0302-9743
0
PageRank 
References 
Authors
0.34
27
4
Name
Order
Citations
PageRank
Jiubing Liu100.68
Xianzhong Zhou243927.01
Bing Huang347121.34
Huaxiong Li477035.51