Development of expert system for identifying dolphin’s species in Malaysian fisheries using PROLOG

Nor Rafidah Mohamad, and Norhayati Daut, and Liawas Barukang, and Saifullah Ariffin Jaaman, (2008) Development of expert system for identifying dolphin’s species in Malaysian fisheries using PROLOG. In: International Symposium on Information Technology 2008, 26-29 Aug 2008, Kuala Lumpur, Malaysia.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/ITSIM.2008.4631558

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.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Marine mammals, expert system, knowledge-based system, dolphin watcher
Subjects:?? QL700-739.8 ??
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:1693
Deposited By:IR Admin
Deposited On:23 Feb 2011 08:15
Last Modified:30 Dec 2014 14:40

Repository Staff Only: item control page


Browse Repository
Collection
   Articles
   Book
   Speeches
   Thesis
   UMS News
Search
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository