By Topic

Multi-Criteria Decision-Making Based on Fuzzy Number Intuitionistic Fuzzy Geometric Amelioration Operators

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Liu, Yuxun ; Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou ; ZhouFang Li

Some operational laws of fuzzy number intuitionistic fuzzy numbers are defined. Two amelioration operators are developed, such as the fuzzy number intuitionistic fuzzy weighted arithmetic average ( FIFWAA) operator, the fuzzy number intuitionistic fuzzy weighted geometric average ( FIFWGA) operator. Basing on these operators, the problems which can not be solved by score function is proposed by accuracy function ,to ensure the tightness and rationality of score function. The methods of solving multi-criteria decision-making problems are proposed , in which the attribute weights are completely known and the attribute values are fuzzy number intuitionistic fuzzy numbers. An illustrative example shows the effectiveness and Correctness of multi-criteria decision-making with fuzzy number intuitionistic fuzzy numbers amelioration operators.

Published in:

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Date of Conference:

23-24 May 2009