TY - JOUR
T1 - Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm
AU - Xia, Meimei
AU - Xu, Zeshui
AU - Zhu, Bin
PY - 2012/7
Y1 - 2012/7
N2 - Archimedean t-conorm and t-norm are generalizations of a lot of other t-conorms and t-norms, such as Algebraic, Einstein, Hamacher and Frank t-conorms and t-norms or others, and some of them have been applied to intuitionistic fuzzy set, which contains three functions: the membership function, the non-membership function and the hesitancy function describing uncertainty and fuzziness more objectively. Recently, Beliakov et al. [3] constructed some operations about intuitionistic fuzzy sets based on Archimedean t-conorm and t-norm, from which an aggregation principle is proposed for intuitionistic fuzzy information. In this paper, we propose some other operations on intuitionistic fuzzy sets, study their properties and relationships, and based on which, we study the properties of the aggregation principle proposed by Beliakov et al. [3], and give some specific intuitionistic fuzzy aggregation operators, which can be considered as the extensions of the known ones. In the end, we develop an approach for multi-criteria decision making under intuitionistic fuzzy environment, and illustrate an example to show the behavior of the proposed operators.
AB - Archimedean t-conorm and t-norm are generalizations of a lot of other t-conorms and t-norms, such as Algebraic, Einstein, Hamacher and Frank t-conorms and t-norms or others, and some of them have been applied to intuitionistic fuzzy set, which contains three functions: the membership function, the non-membership function and the hesitancy function describing uncertainty and fuzziness more objectively. Recently, Beliakov et al. [3] constructed some operations about intuitionistic fuzzy sets based on Archimedean t-conorm and t-norm, from which an aggregation principle is proposed for intuitionistic fuzzy information. In this paper, we propose some other operations on intuitionistic fuzzy sets, study their properties and relationships, and based on which, we study the properties of the aggregation principle proposed by Beliakov et al. [3], and give some specific intuitionistic fuzzy aggregation operators, which can be considered as the extensions of the known ones. In the end, we develop an approach for multi-criteria decision making under intuitionistic fuzzy environment, and illustrate an example to show the behavior of the proposed operators.
KW - Aggregation operator
KW - Archimedean t-conorm
KW - Archimedean t-norm
KW - Intuitionistic fuzzy set
KW - Multi-criteria decision making
UR - http://www.scopus.com/inward/record.url?scp=84862777933&partnerID=8YFLogxK
U2 - 10.1016/j.knosys.2012.02.004
DO - 10.1016/j.knosys.2012.02.004
M3 - Article
AN - SCOPUS:84862777933
SN - 0950-7051
VL - 31
SP - 78
EP - 88
JO - Knowledge-Based Systems
JF - Knowledge-Based Systems
ER -