- 期刊
Utilizing Imprecise Knowledge in Ontology-based CBR Systems by Means of Fuzzy Algebra
並列摘要
Case Based Reasoning (CBR) is a problem-solving paradigm that uses knowledge of relevant past experiences (cases) to interpret or solve new problems. An evolvement to this paradigm is ontology-based CBR, an approach that combines, in the form of formal ontologies, case specific knowledge with domain one in order to improve the effectiveness of the CBR process. This effectiveness is further improved if ontology-based CBR systems are able to utilize knowledge that is vague or imprecise; to that end, we present in this paper a novel CBR approach that manages and utilizes imprecise knowledge through the integration of Fuzzy Algebra in the ontology- based CBR paradigm. The approach has been applied in real life and constitutes the core of a portal that provides the public with intelligent access to knowledge assets.
被引用紀錄
延伸閱讀
- Chen, W. H. (2014). Improved Imperialist Competitive Algorithms for Compensatory Neural Fuzzy Systems [master's thesis, National Formosa University]. Airiti Library. https://doi.org/10.6827/NFU.2014.00112
- ZHAN, J., XIANG, D., & TAN, Z. (2004). FUZZY MULTIPLY POSITIVE IMPLICATIVE HYPER BCK-IDEALS OF HYPER BCK-ALGEBRAS. International Journal of Mathematics and Mathematical Sciences, 2004(), 1239-1253-084. https://doi.org/10.1155/S0161171204306186
- Poli, R. (2011). Steps Toward an Explicit Ontology of the Future. Journal of Futures Studies, 16(1), 67-77. https://www.airitilibrary.com/Article/Detail?DocID=10276084-201109-201111140005-201111140005-67-77
- 陳宥成（2021）。The Research on Auxiliary software for Impoving Mathematical Ability〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu202100295
- Bianca, C., Ferrara, M., & Guerrini, L. (2013). Qualitative Analysis of a Retarded Mathematical Framework with Applications to Living Systems. Abstract and Applied Analysis, 2013(), 767-773-977. https://doi.org/10.1155/2013/736058