4.7 Article

The induced generalized aggregation operators for intuitionistic fuzzy sets and their application in group decision making

Journal

APPLIED SOFT COMPUTING
Volume 12, Issue 3, Pages 1168-1179

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.asoc.2011.11.003

Keywords

Intuitionistic fuzzy numbers; Interval-valued intuitionistic fuzzy numbers; Induced generalized intuitionistic fuzzy ordered weighted averaging (I-GIFOWA) operator; Induced generalized interval-valued intuitionistic fuzzy ordered weighted averaging (I-GIIFOWA) operator

Funding

  1. National Natural Science Foundation of China [71101043, 50979024, 90924027]
  2. College Philosophy and Social Science Research Project of Jiangsu Province [2011SJD630007]
  3. International Academic Cooperation Team Development Foundation of Business School, Hohai University

Ask authors/readers for more resources

In this paper, we present the induced generalized intuitionistic fuzzy ordered weighted averaging (I-GIFOWA) operator. It is a new aggregation operator that generalized the IFOWA operator, including all the characteristics of both the generalized IFOWA and the induced IFOWA operators. It provides a very general formulation that includes as special cases a wide range of aggregation operators for intuitionistic fuzzy information, including all the particular cases of the I-IFOWA operator, GIFOWA operator and the induced intuitionistic fuzzy ordered geometric (I-IFOWG) operator. We also present the induced generalized interval-valued intuitionistic fuzzy ordered weighted averaging (I-GIIFOWA) operator to accommodate the environment in which the given arguments are interval-valued intuitionistic fuzzy sets. Further, we develop procedures to apply them to solve group multiple attribute decision making problems with intuitionistic fuzzy or interval-valued intuitionistic fuzzy information. Finally, we present their application to show the effectiveness of the developed methods. (C) 2011 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available