Published June 2006 | Version v1
Journal article Metadata-only

Fuzzy preference based interactive fuzzy physical programming and its application in multi-objective optimization

Creators

  • 1. Dalian University of Technology, Liaoning (China)
  • 2. University of Electronic Science and Technology of China, Sichuan (China)
  • 3. Southwest JiaoTong University, Sichuan (China)

Description

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

Additional details

Publishing Information

Journal Title
Journal of Mechanical Science and Technology
Journal Volume
20
Journal Issue
6
Series
18 refs, 5 figs, 3 tabs
Journal Page Range
p. 731-737
ISSN
1738-494X

INIS

Country of Publication
Korea, Republic of
Country of Input or Organization
Korea, Republic of
INIS RN
38075440
Subject category
S99: GENERAL AND MISCELLANEOUS; S42: ENGINEERING;
Descriptors DEI
DECISION MAKING; DESIGN; FUZZY LOGIC; INTERACTIONS; MAN-MACHINE SYSTEMS; OPTIMIZATION; PROGRAMMING
Descriptors DEC
MATHEMATICAL LOGIC