Journal of Mechanical Science and Technology

The Korean Society of Mechanical Engineers (대한기계학회)
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Fuzzy Preference Based Interactive Fuzzy Physical Programming and Its Application in Multi-objective Optimization

  • Zhang Xu (School of Mechanical Engineering, Dalian University of Technology) ;
  • Huang Hong-Zhong (School of Mechatronics Engineering, University of Electronic Science and Technology of China) ;
  • Yu Lanfeng (Research Institute of Mechanical Engineering, Southwest Jiao Tong University)
  • Published : 2006.06.01
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Abstract

Interactive Fuzzy Physical Programming (IFPP) developed in this paper is a new efficient multi-objective optimization method, which retains the advantages of physical programming while considering the fuzziness of the designer's preferences. The fuzzy preference function is introduced based on the model of linear physical programming, which is used to guide the search for improved solutions by interactive decision analysis. The example of multi-objective optimization design of the spindle of internal grinder demonstrates that the improved preference conforms to the subjective desires of the designer.

Keywords

References

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