A Fuzzy Set Algorithm for Engineering Design with Applications to the Component Parts Industry

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.

[1]  D. I. Blockley,et al.  The role of fuzzy sets in civil engineering , 1979 .

[2]  L. Zadeh.  A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[3]  T. Terano,et al.  Failure diagnosis by using fuzzy logic , 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.

[4]  Nancy Martin,et al.  Knowledge-Based Problem Solving , 1986, IEEE Expert.

[5]  Frederick Hayes-Roth,et al.  Building expert systems , 1983, Advanced book program.

[6]  Sheldon S. L. Chang.  Design automation for the component parts industry , 1988, 25th ACM/IEEE, Design Automation Conference.Proceedings 1988..