Adaptation of Mamdani Fuzzy Inference System Using Neuro - Genetic Approach for Tactical Air Combat Decision Support System
<|reference_start|>Adaptation of Mamdani Fuzzy Inference System Using Neuro - Genetic Approach for Tactical Air Combat Decision Support System: Normally a decision support system is build to solve problem where multi-criteria decisions are involved. The knowledge base is the vital part of the decision support containing the information or data that is used in decision-making process. This is the field where engineers and scientists have applied several intelligent techniques and heuristics to obtain optimal decisions from imprecise information. In this paper, we present a hybrid neuro-genetic learning approach for the adaptation a Mamdani fuzzy inference system for the Tactical Air Combat Decision Support System (TACDSS). Some simulation results demonstrating the difference of the learning techniques and are also provided.<|reference_end|>
@article{tran2004adaptation,
    title={Adaptation of Mamdani Fuzzy Inference System Using Neuro - Genetic
  Approach for Tactical Air Combat Decision Support System},
    author={Cong Tran, Lakhmi Jain, Ajith Abraham},
    journal={15th Australian Joint Conference on Artificial Intelligence
  (AI'02) Australia, LNAI 2557, Springer Verlag, Germany, pp. 672-679, 2002},
    year={2004},
    archivePrefix={arXiv},
    eprint={cs/0405031},
    primaryClass={cs.AI}
}