DocumentCode :
476671
Title :
Development of expert system for identifying dolphin’s species in Malaysian fisheries using PROLOG
Author :
Mohamad, Nor Rafidah ; Daut, Norhayati ; Jaaman, Saifullah Ariffin
Author_Institution :
Center for Artificial Intelligence, School of Engineering & IT, Universiti Malaysia Sabah, Malaysia
Volume :
1
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
6
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.
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4631558
Filename :
4631558
Link To Document :
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