Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals

Expert systems have started to play an important role in this era of knowledge. As we move from information age to knowledge age, management and organization of human expertise will have a great impact in all aspects of life in terms of time saving and money. An expert system (ES) to predict the eff...

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Main Author:	Eldin Ismail, Moutasim Gammar
Format:	Thesis
Language:	English English
Published:	2001
Subjects:	Expert systems (Computer science)
Online Access:	http://psasir.upm.edu.my/id/eprint/11008/1/FK_2001_32.pdf
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id	my-upm-ir.11008
record_format	uketd_dc
spelling	my-upm-ir.110082024-07-10T08:28:21Z Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals 2001-01 Eldin Ismail, Moutasim Gammar Expert systems have started to play an important role in this era of knowledge. As we move from information age to knowledge age, management and organization of human expertise will have a great impact in all aspects of life in terms of time saving and money. An expert system (ES) to predict the effect of selective logging on large mammals was developed through a combination of results from field survey, interviews with domain experts and data from Department of Wildlife and National Parks, Malaysia. The field survey was carried out for track identification of four large mammals (barking deer, sambar deer, tapir and wild boar), vegetation and microclimate measurements. ANOVA analysis of variance, regression and sensitivity analysis were used to test the data. The problems related to selective logging and the various aspects of its effects on large mammals were translated into specific rules and incorporated into the ES. The data and information were stored in databases, which can be updated and referred to in the ES . The program provides information for courses and teaching purposes as well as acting as advisor to draw conclusions. In addition to this it helps wildlifers and foresters on decision making on the effect of selective logging on large mammals. Expert systems (Computer science) 2001-01 Thesis http://psasir.upm.edu.my/id/eprint/11008/ http://psasir.upm.edu.my/id/eprint/11008/1/FK_2001_32.pdf text en public masters Universiti Putra Malaysia Expert systems (Computer science) Faculty of Engineering Daud, Mohamed English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
advisor	Daud, Mohamed
topic	Expert systems (Computer science)
spellingShingle	Expert systems (Computer science) Eldin Ismail, Moutasim Gammar Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals
description	Expert systems have started to play an important role in this era of knowledge. As we move from information age to knowledge age, management and organization of human expertise will have a great impact in all aspects of life in terms of time saving and money. An expert system (ES) to predict the effect of selective logging on large mammals was developed through a combination of results from field survey, interviews with domain experts and data from Department of Wildlife and National Parks, Malaysia. The field survey was carried out for track identification of four large mammals (barking deer, sambar deer, tapir and wild boar), vegetation and microclimate measurements. ANOVA analysis of variance, regression and sensitivity analysis were used to test the data. The problems related to selective logging and the various aspects of its effects on large mammals were translated into specific rules and incorporated into the ES. The data and information were stored in databases, which can be updated and referred to in the ES . The program provides information for courses and teaching purposes as well as acting as advisor to draw conclusions. In addition to this it helps wildlifers and foresters on decision making on the effect of selective logging on large mammals.
format	Thesis
qualification_level	Master's degree
author	Eldin Ismail, Moutasim Gammar
author_facet	Eldin Ismail, Moutasim Gammar
author_sort	Eldin Ismail, Moutasim Gammar
title	Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals
title_short	Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals
title_full	Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals
title_fullStr	Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals
title_full_unstemmed	Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals
title_sort	developing an expert system to predict the effect of selective logging on large mammals
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Engineering
publishDate	2001
url	http://psasir.upm.edu.my/id/eprint/11008/1/FK_2001_32.pdf
_version_	1804888607255691264

Developing an Expert System to Predict the Effect of Selective Logging on Large Mammals

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