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.
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Zhang, X., Huang, HZ. & Yu, L. Fuzzy preference based Interactive Fuzzy Physical Programming and its application in multi-objective optimization. J Mech Sci Technol 20, 731–737 (2006). https://doi.org/10.1007/BF02915937
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DOI: https://doi.org/10.1007/BF02915937