Summary
A fuzzy set algorithm is formulated for System Selection and Design Specification. To meet the requirements of a given application (Design Goal) the SSDS selects one among a finite number N of alternative systems and specifies the design parameters of the selected system optimally. Optimality is in the sense of highest membership function of the finally designed system in meeting the Design Goal. An application of the SSDS to electrical motor design is discussed.
Using SSDS as an essential element, design automation in the component parts industry from purchase inquiry to finished product delivery is described. The computerized process simulates human decision makers, eliminates bottlenecks, and frees human decision makers from doing routine work.
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© 1989 Springer-Verlag New York, Inc.
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Chang, S.S.L. (1989). A Fuzzy Set Algorithm for Engineering Design with Applications to the Component Parts Industry. In: Newsome, S.L., Spillers, W.R., Finger, S. (eds) Design Theory ’88. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3646-7_9
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DOI: https://doi.org/10.1007/978-1-4612-3646-7_9
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