z-logo
open-access-imgOpen Access
FUZZY POWER AGGREGATION OPERATORS AND THEIR APPLICATION TO MULTIPLE ATTRIBUTE GROUP DECISION MAKING
Author(s) -
Guiwu Wei,
Xiaofei Zhao,
Hongjun Wang,
Rui Lin
Publication year - 2013
Publication title -
technological and economic development of economy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.634
H-Index - 47
eISSN - 2029-4921
pISSN - 2029-4913
DOI - 10.3846/20294913.2013.821684
Subject(s) - group decision making , fuzzy logic , group (periodic table) , computer science , ideal (ethics) , ideal solution , order (exchange) , data mining , power (physics) , mathematics , artificial intelligence , mathematical optimization , business , philosophy , chemistry , physics , organic chemistry , epistemology , finance , quantum mechanics , political science , law , thermodynamics
The article investigates the multiple attribute group decision making (MAGDM) problems in which the attribute values take the form of triangular fuzzy information. Motivated by the ideal of power aggregation, in this paper some power aggregation operators for aggregating triangular fuzzy information are developed and then applied in order to develop some models for multiple attribute group decision making with triangular fuzzy information. Finally, some illustrative examples are given to verify the developed approach and to demonstrate its practicality and effectiveness.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here