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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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
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Fuzzy numbers for predicted and required performances for the attribute “appearance”
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Ranking of manufacturing options




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