By Topic

Rule-based weight definition for multi-objective fuzzy scheduling with the OWA operator

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

3 Author(s)
Murata, T. ; Dept. of Ind. & Syst. Eng., Ashikaga Inst. of Technol., Japan ; Oshida, H. ; Gen, M.

We propose a rule-based dynamic definition of weight values for multi-objective fuzzy scheduling problems with the OWA operator. When we employ the scheme of the OWA operator for multi-objective fuzzy scheduling problems, we should assign the weight vector w in advance. Therefore, we propose a rule-based weight definition method in order to reduce the effort to define the weight values in the OWA operator. In our multi-objective fuzzy scheduling problems, we take account of the importance of each job. That is, we use a different unit reward for the satisfaction grade of each job. We employ a genetic algorithm to maximize the fitness function, which is the function with the OWA operator. Finally, we show that the introduction of the rule-based weight definition method is effective for finding solutions

Published in:

Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE  (Volume:4 )

Date of Conference:

2000