Abstract
This paper presents an interactive fuzzy satisfying method for solving a general multi-objective single-tuned harmonic-filter planning problem by assuming that the decision-maker (DM) has imprecise or fuzzy goals for each of the objective functions. Through the interaction with DM, the fuzzy goals of the DM are quantified by eliciting corresponding membership functions. If the DM specifies a reference membership values, the mini-max problem is solved for generating a corresponding global noninferior solution for the DM's reference membership values. Then by considering the current values of the membership functions as well as the objectives, the DM acts on this solution by updating the reference membership values. The interactive procedure continues until the satisfying solution for the DM is obtained.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
