Neural-Network-Driven Fuzzy Optimum Selection for Mechanism Schemes
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Differentiation of syndromes with SVM
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A fuzzy directed graph is used to represent the dynamic relationships among the sub-objectives of a fuzzy multi-objective optimization problem. Using the comprehensive coordination function with exponential weights, we transform a fuzzy multi-objective optimization problem into a single-objective optimization problem. The optimal solution of the single-objective optimization problem can then be obtained with conventional single-objective optimization methods. The optimal solution represents the best trade-off among the possibly conflicting sub-objectives in the original optimization problem. An illustrative example is given to illustrate the effectiveness of the proposed approach.