Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm

Meimei Xia, Zeshui Xu*, Bin Zhu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

278 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)78-88
Number of pages11
JournalKnowledge-Based Systems
Volume31
DOIs
Publication statusPublished - Jul 2012
Externally publishedYes

Keywords

  • Aggregation operator
  • Archimedean t-conorm
  • Archimedean t-norm
  • Intuitionistic fuzzy set
  • Multi-criteria decision making

Fingerprint

Dive into the research topics of 'Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm'. Together they form a unique fingerprint.

Cite this