Abstract
This paper presents a Malaysia freshwater fish taxonomy developed for identifying the types of fish to suit specific circumstances based on the criteria such as body, shape, eyes, mouth, barbells, caudal fin etc. The user of the system will consist of the nonexpert such as tourists, students, fishing fans. There are total of 564 species of freshwater fishes found in Malaysia where it is subcategorized by class, order, family, genera and scientific names fishes used in this system. The literature review involves in acquisition of knowledge from human expert books; document, journal, and existing system. Data collection leads to create freshwater fish knowledge base. The inference engine proposed in this study is based on forward and backward chaining to construct a decision tree. Certainty factor uses to makes some simple assumption for creating confidence measures. From the data gathered a Malaysia freshwater fish expert system prototype is developed.
Metadata
Item Type: | Thesis (Masters) |
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Creators: | Creators Email / ID Num. Awalludin, Norafiza UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Ibrahim, Zaidah (Assoc. Prof.) UNSPECIFIED |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences |
Programme: | Master of Science |
Keywords: | Malaysia, Water, Fish |
Date: | 2008 |
URI: | https://ir.uitm.edu.my/id/eprint/63974 |
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