A Multi-objective Optimization of Radiative Fin Array Systems in a Fuzzy Environment

Author:

Chung B. T. F.1,Zhang B. X.1,Lee E. T.2

Affiliation:

1. Department of Mechanical Engineering, The University of Akron, Akron, OH 44325-3903

2. L and P Culture and Technology, Inc., 5345 Toscana Way, Suite 517, San Diego, CA 92122

Abstract

This study analyzes and optimizes a new design for a four-fin radiating fin array system in a multi-objective fuzzy optimization environment. The conflicting objectives of minimizing both weight and horizontal size are considered simultaneously in the fuzzy optimization logic. A fuzzy feasible domain is constructed by considering all of the fuzzy sets individually defined by the fuzzy objectives and constraints. The system is optimized by maximizing the fuzzy decision function. A systematic procedure of the fuzzy optimization is discussed in detail.

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference20 articles.

1. Bellman R. E. , and ZadehL. A., 1970, “Decision Making in a Fuzzy Environment,” Management Science, Vol. 17, pp. 141–164.

2. Chung B. T. F. , and ZhangB. X., 1993a, “A Novel Design for a Radiative Fin Array System,” J. Franklin Institute, Vol. 330, No. 3, pp. 465–478.

3. Chung B. T. F. , and ZhangB. X., 1993b, “Optimum Design for a Radiative Fin Array System With Least Horizontal Dimension,” J. Franklin Institute, Vol. 330, No. 5, pp. 869–884.

4. Gupta, M. M., Knopf, G. K., and Nikforuk, P. N., 1988, “Sinusiodal-Based Cognitive Mapping Functions,” Fuzzy Logic in Knowledge-Based Systems, Decision and Control, Elsevier Science Publishers, North-Holland.

5. Kandel, A., and Lee, S. C., 1979, Fuzzy Switching and Automata: Theory and Applications, Crane, Russak & Company, Inc., New York.

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