Application of new fuzzy-weighted average (NFWA) method to engineering design evaluation

L. Vanegas, Ashraf Labib

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Engineering design evaluation is characterized by imprecise (vague) importance and satisfaction levels of criteria, which are better treated as fuzzy variables rather than as subjective crisp variables. Nevertheless, operations on fuzzy numbers tend to increase unnecessarily the imprecision when they are combined for some applications, particularly, when a fuzzy-weighted average (FWA) is calculated. This paper proposes a novel method of operating on fuzzy numbers to obtain a fuzzyweighted average of desirability levels during design evaluation. The method produces overall desirability levels less imprecise and more realistic than those of the conventional FWA. Furthermore, the balance points of these fuzzy numbers seem to be more credible than those of the FWA. An example is presented, which demonstrates the advantages of the method developed.
    Original languageEnglish
    Pages (from-to)1147-1162
    Number of pages16
    JournalInternational Journal of Production Research
    Volume39
    Issue number6
    DOIs
    Publication statusPublished - 2001

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