Development of Malaysia freshwater fish taxonomy / Norafiza Awalludin

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, fishin...

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Main Author: Awalludin, Norafiza
Format: Thesis
Language:English
Published: 2008
Online Access:https://ir.uitm.edu.my/id/eprint/63974/1/63974.PDF
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spelling my-uitm-ir.639742024-07-01T00:50:47Z Development of Malaysia freshwater fish taxonomy / Norafiza Awalludin 2008 Awalludin, Norafiza 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. 2008 Thesis https://ir.uitm.edu.my/id/eprint/63974/ https://ir.uitm.edu.my/id/eprint/63974/1/63974.PDF text en public masters Universiti Teknologi Mara (UiTM) Faculty of Computer and Mathematical Sciences Ibrahim, Zaidah (Assoc. Prof.)
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Ibrahim, Zaidah (Assoc. Prof.)
description 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.
format Thesis
qualification_level Master's degree
author Awalludin, Norafiza
spellingShingle Awalludin, Norafiza
Development of Malaysia freshwater fish taxonomy / Norafiza Awalludin
author_facet Awalludin, Norafiza
author_sort Awalludin, Norafiza
title Development of Malaysia freshwater fish taxonomy / Norafiza Awalludin
title_short Development of Malaysia freshwater fish taxonomy / Norafiza Awalludin
title_full Development of Malaysia freshwater fish taxonomy / Norafiza Awalludin
title_fullStr Development of Malaysia freshwater fish taxonomy / Norafiza Awalludin
title_full_unstemmed Development of Malaysia freshwater fish taxonomy / Norafiza Awalludin
title_sort development of malaysia freshwater fish taxonomy / norafiza awalludin
granting_institution Universiti Teknologi Mara (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2008
url https://ir.uitm.edu.my/id/eprint/63974/1/63974.PDF
_version_ 1804889660379365376