Fuzzy Approaches to Evaluation in Engineering Design

[+] Author and Article Information
Libardo V. Vanegas

Mechanical Engineering Department, Universidad Technologica de Pereira, A. A. 97 Pereira, Columbiae-mail: ivanegas@utp.edu.co

Ashraf W. Labib

School of Mechanical, Aerospace & Civil Engineering, University of Manchester, P.O. Box 88, Manchester M60 1QD, UKe-mail: ashraf.labib@manchester.ac.uk

J. Mech. Des 127(1), 24-33 (Mar 02, 2005) (10 pages) doi:10.1115/1.1814639 History: Received January 26, 2003; Revised April 21, 2004; Online March 02, 2005
Copyright © 2005 by ASME
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Grahic Jump Location
Fuzzy number representing
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Fuzzy numbers for predicted and required performances
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Desirability m(r) of a design for the criterion “weight”
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Required performance of appearance and predicted performance of an alternative
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Weights of criteria of the example in Table 1
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Overall performance of the alternative in Table 1, calculated through the NFWA
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Desirability mA(r) with respect to the criterion weight of a value r with possibility represented by mB(r)
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Jones and Hua 26 metric for finding desirability
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Necessity measure of the predicted durability under its requirement
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Required versus predicted performance
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A new metric for approach 3
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Aggregate fuzzy sets, overall performances of two design solutions
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Examples of a new type of fuzzy goal for linguistic predicted performances
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Trapezoidal fuzzy numbers that represent the required performance for the attribute “weight” and the predicted performance of machining with respect to this attribute
Grahic Jump Location
Fuzzy numbers for predicted and required performances for the attribute “appearance”
Grahic Jump Location
Ranking of manufacturing options



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