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January 1989
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8 Reads
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3 Citations
An important aspect of design involves the unification of criteria for design evaluation into a global goal in which conflicting design objectives are balanced. This paper focuses on methods to represent this goal in an operational form, suitable for computations within the format of optimization algorithms. The methodology relies on fuzzy set models for design evaluation.
... This paper presents a novel (to the engineering design process) application of a method for representing and manipulating imprecision. 1 This technique calculates the approximate output quantities from the imprecise input parameters for each of the design alternatives, and determines the qualitative relations between the input parameters and the performance parameters (outputs). The designer is able to rank the input parameters according to their Fuzzy sets have been applied to other domains including: seismic risk analysis [6,7,8,9,19], optimization [12,29], reliability [24,37], expert systems [25], logic and decision support [ impact on the performance parameters, and to rate a design alternative according to its merit in relation to the others under consideration. ...
January 1989
