TWO-PHASE INTERACTIVE SATISFYING METHOD OF FUZZY MULTIPLE OBJECTIVE OPTIMIZATION WITH LINGUISTIC PREFERENCE

Chaofang Hu and Shaoyuan Li ()
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Chaofang Hu: Institute of Automation, Shanghai Jiao Tong University, 800 Dongchuan Road Minhang, Shanghai 200240, China
Shaoyuan Li: Institute of Automation, Shanghai Jiao Tong University, 800 Dongchuan Road Minhang, Shanghai 200240, China

International Journal of Information Technology & Decision Making (IJITDM), 2009, vol. 08, issue 03, 427-443

Abstract: This paper presents a two-phase interactive satisfying optimization method for fuzzy multiple objectives optimization with linguistic preference. This proposed approach utilizes the view that the more important objective has the higher desirable satisfying degree. The originally complex optimization problem is simplified and divided into two parts that are solved one by one. The decision maker can acquire satisfying solution of all the objectives under linguistic preference. Numerical example shows the efficiency, flexibility, and sensitivity of the proposed method.

Keywords: Multiple objectives optimization; linguistic preference; interactive; satisfying optimization (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219622009003466

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