Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394799
Title: Development of expert system for identifying dolphin's species in Malaysian fisheries using PROLOG
Authors: Nor Rafidah Mohamad
Norhayati Daut
Saifullah Ariffin Jaaman
Conference Name: International Symposium on Information Technology 2008
Keywords: Expert system
Identifying dolphin???s species
PROLOG
Conference Date: 26/08/2008
Conference Location: Kuala Lumpur Convention Centre, Malaysia
Abstract: Marine mammals are endangered species. Marine mammals have 4 orders, which are Cetacean, Sirenian, Piniped and Marine Fisiped. Dolphins 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.
Pages: 6
Call Number: T58.5.C634 2008 kat sem
Publisher: Institute of Electrical and Electronics Engineers (IEEE),Piscataway, USA
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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