Nor Rafidah Mohamad and Norhayati Daut and Liawas Barukang and Saifullah Ariffin Jaaman @ Sharman (2008) Development of expert system for identifying dolphin's species in Malaysian fisheries using PROLOG. In: International Symposium on Information Technology 2008 (ITSim), 26-29 August 2008, Kuala Lumpur, Malaysia.
Full text not available from this repository.Abstract
Marine mammals are endangered species. Marine mammals have 4 orders, which are Cetacean, Sirenian, Piniped and Marine Fisiped. Doplhins are one of suborder in Cetacean. The development of dolphin's watcher expert system will help the expert or their research assistant to identify the species of the dolphins in Malaysia. This expert system (ES) is developed using PROLOG as the platform and console for the interface. Through ES, rules can be associated to evaluate the conditions and determine the result. Where the rules have been constructed from the expert knowledge and this also became one of the knowledge-based systems. This paper explained briefly on the development of the ES and both of the inference engines that had been used. © 2008 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Administrative data processing, Conservation, Decision support systems, Dolphins (structures), Expert systems, Information technology, Knowledge based systems, Endangered species, Expert knowledges, Marine mammals |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics > TK7885-7895 Computer engineering. Computer hardware Q Science > QL Zoology > QL1-991 Zoology > QL605-739.8 Chordates. Vertebrates > QL700-739.8 Mammals |
| Department: | SCHOOL > School of Engineering and Information Technology INSTITUTE > Borneo Marine Research Institute |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 24 Mar 2011 13:13 |
| Last Modified: | 30 Dec 2014 14:42 |
| URI: | https://eprints.ums.edu.my/id/eprint/1636 |
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