As variables in the design evaluation stage are imprecise (fuzzy), tools, such as fuzzy set theory, should be used. This paper presents several fuzzy approaches to design evaluation. Weights of criteria and performance levels are captured by fuzzy numbers, and the overall performance of an alternative is calculated through the new fuzzy weighted average. Different approaches to express and calculate performance are discussed. Two metrics for measuring performance levels per criterion of a solution are proposed. Also, a new type of fuzzy goal is suggested. Finally, a novel way of comparing the overall performance of a design candidate by drawing an aggregate profile of performance is proposed. It is concluded that fuzzy set theory is a powerful and flexible tool for dealing with the imprecision in different types of problems in design evaluation.
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January 2005
Technical Papers
Fuzzy Approaches to Evaluation in Engineering Design
Libardo V. Vanegas, Lecturer,,
Libardo V. Vanegas, Lecturer,
Mechanical Engineering Department, Universidad Technologica de Pereira, A. A. 97 Pereira, Columbia
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Ashraf W. Labib, Senior Lecturer,
Ashraf W. Labib, Senior Lecturer,
School of Mechanical, Aerospace & Civil Engineering, University of Manchester, P.O. Box 88, Manchester M60 1QD, UK
Search for other works by this author on:
Libardo V. Vanegas, Lecturer,
Mechanical Engineering Department, Universidad Technologica de Pereira, A. A. 97 Pereira, Columbia
Ashraf W. Labib, Senior Lecturer,
School of Mechanical, Aerospace & Civil Engineering, University of Manchester, P.O. Box 88, Manchester M60 1QD, UK
Contributed by the Design Theory and Methodology Committee for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received January 26, 2003; revised April 21, 2004. Associate Editor: C. Dym.
J. Mech. Des. Jan 2005, 127(1): 24-33 (10 pages)
Published Online: March 2, 2005
Article history
Received:
January 26, 2003
Revised:
April 21, 2004
Online:
March 2, 2005
Citation
Vanegas, L. V., and Labib, A. W. (March 2, 2005). "Fuzzy Approaches to Evaluation in Engineering Design ." ASME. J. Mech. Des. January 2005; 127(1): 24–33. https://doi.org/10.1115/1.1814639
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