Abstract
The principle of solving multiobjective optimization problems with fuzzy sets theory is studied. Membership function is the key to introduce the fuzzy sets theory to multiobjective optimization. However, it is difficult to determine membership functions in engineering applications. On the basis of rapid quadratic optimization in the learning of weights, simplification in hardware as well as in computational procedures of functional-link net, discrete membership functions are used as sample training data. When the network converges, the continuous membership functions implemented with the network. Membership functions based on functional-link net have been used in multiobjective optimization. An example is given to illustrate the method.



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Acknowledgements
This research was partially supported by the National Natural Science Foundation of China under the contract number 50175010, the National Excellent Doctoral Dissertation Special Foundation of China under the contract number 200232, and the Natural Sciences and Engineering Research Council of Canada. Constructive suggestions and comments from the referees and editors are very much appreciated.
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Huang, HZ., Wang, P., Zuo, M.J. et al. A fuzzy set based solution method for multiobjective optimal design problem of mechanical and structural systems using functional-link net. Neural Comput & Applic 15, 239–244 (2006). https://doi.org/10.1007/s00521-006-0025-2
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DOI: https://doi.org/10.1007/s00521-006-0025-2