An Expert System for Fire Prevention in High Rise Buildings

An expert system (ES) for fire prevention in high rise buildings was developed through a combination of interviews with domain experts and the statistical analysis of the thirteen years secondary data on the types and sources of fire breakouts in buildings from Department of Fire and Rescue, Mala...

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Main Author: Wayakone, Sengdao
Format: Thesis
Language:English
English
Published: 1998
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/10196/1/FK_1998_15_A.pdf
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spelling my-upm-ir.101962011-03-14T02:00:35Z An Expert System for Fire Prevention in High Rise Buildings 1998-11 Wayakone, Sengdao An expert system (ES) for fire prevention in high rise buildings was developed through a combination of interviews with domain experts and the statistical analysis of the thirteen years secondary data on the types and sources of fire breakouts in buildings from Department of Fire and Rescue, Malaysia. The problems related to fire prevention in high rise buildings, especially in the case of emergency and translation of the experts' knowledge into specific rules were analysed and incorporated into the ES. The stepwise regression analysis was used to test the data. The data and information were stored in databases and could be updated and referred through the ES. This program acts as an adviser for educating people who live in high rise buildings, so as to develop their awareness for better prevention of fire, or in evacuation process during an emergency. In addition, the ES helps fire engineers, architectures and managers in decision making on fire prevention designs based on the Uniform Building By-Law and available documentation. Tall building - Fire prevention - Case studies 1998-11 Thesis http://psasir.upm.edu.my/id/eprint/10196/ http://psasir.upm.edu.my/id/eprint/10196/1/FK_1998_15_A.pdf application/pdf en public masters Universiti Putra Malaysia Tall building - Fire prevention - Case studies Faculty of Engineering English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
topic Tall building - Fire prevention - Case studies


spellingShingle Tall building - Fire prevention - Case studies


Wayakone, Sengdao
An Expert System for Fire Prevention in High Rise Buildings
description An expert system (ES) for fire prevention in high rise buildings was developed through a combination of interviews with domain experts and the statistical analysis of the thirteen years secondary data on the types and sources of fire breakouts in buildings from Department of Fire and Rescue, Malaysia. The problems related to fire prevention in high rise buildings, especially in the case of emergency and translation of the experts' knowledge into specific rules were analysed and incorporated into the ES. The stepwise regression analysis was used to test the data. The data and information were stored in databases and could be updated and referred through the ES. This program acts as an adviser for educating people who live in high rise buildings, so as to develop their awareness for better prevention of fire, or in evacuation process during an emergency. In addition, the ES helps fire engineers, architectures and managers in decision making on fire prevention designs based on the Uniform Building By-Law and available documentation.
format Thesis
qualification_level Master's degree
author Wayakone, Sengdao
author_facet Wayakone, Sengdao
author_sort Wayakone, Sengdao
title An Expert System for Fire Prevention in High Rise Buildings
title_short An Expert System for Fire Prevention in High Rise Buildings
title_full An Expert System for Fire Prevention in High Rise Buildings
title_fullStr An Expert System for Fire Prevention in High Rise Buildings
title_full_unstemmed An Expert System for Fire Prevention in High Rise Buildings
title_sort expert system for fire prevention in high rise buildings
granting_institution Universiti Putra Malaysia
granting_department Faculty of Engineering
publishDate 1998
url http://psasir.upm.edu.my/id/eprint/10196/1/FK_1998_15_A.pdf
_version_ 1747811067137884160