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A New Environment for Developing Fuzzy Expert Systems
並列摘要
This work presents a grid-based fuzzy expert system environment, which employs a repertory grid, fuzzy theory and case-based reasoning. The proposed environment provides friendly user interfaces, abundant data types, intelligent knowledge acquisition facilities and an efficient inference engine. To help users make precise decisions, three factors (i.e., feasibility, reliability and certainty) are used during inference. Moreover, several tools are provided to help experts define membership functions and the knowledge of multimedia data types. Furthermore, the proposed approach is evaluated by implementing an expert system for the diagnosis of animal diseases and by performing several tests.
被引用紀錄
Chen, K. Y. (2011). 基於遊戲式學習之釣魚網站防範訓練模式 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2011.01034
關銘（2004）。以OWL DL 及SWRL 為基礎建置推論雛形系統- 以大學排課問題為例〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200400484
延伸閱讀
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