Fuzzy preference based Interactive Fuzzy Physical Programming and its application in multi-objective optimization

被引：15
|
作者：
Zhang, Xu
Huang, Hong-Zhong [1 ]
Yu, Lanfeng
机构：
[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 610054, Sichuan, Peoples R China
[2] Dalian Univ Technol, Sch Mech Engn, Dalian 116023, Peoples R China
[3] SW JiaoTong Univ, Res Inst Mech Engn, Chengdu 630031, Sichuan, Peoples R China
来源：
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY | 2006年 / 20卷 / 06期
关键词：
multi-objective optimization; physical programming; fuzzy number; fuzzy preference; Interactive Fuzzy Physical Programming; interactive decision-making; spindle of NC internal grinder;
D O I：
10.1007/BF02915937
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
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.
引用
收藏
页码：731 / 737
页数：7
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