A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems

Details A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems

2004-05-06

arxiv.org/abs/cs/0405026v1

The IEEE International Conference on Fuzzy Systems, FUZZ-IEEE'03, IEEE Press, ISBN 0780378113, pp. 1092-1097, 2003

Computer Science

Artificial Intelligence

Scientific paper

Decision-making is a process of choosing among alternative courses of action for solving complicated problems where multi-criteria objectives are involved. The past few years have witnessed a growing recognition of Soft Computing technologies that underlie the conception, design and utilization of intelligent systems. Several works have been done where engineers and scientists have applied intelligent techniques and heuristics to obtain optimal decisions from imprecise information. In this paper, we present a concurrent fuzzy-neural network approach combining unsupervised and supervised learning techniques to develop the Tactical Air Combat Decision Support System (TACDSS). Experiment results clearly demonstrate the efficiency of the proposed technique.

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