Predictive Management of Fire Risks in Building

Issa, Sanae Khali; Azmani, Abdellah; Zejli, Karima

doi:10.5120/9356-3692

IJCA

2012

DOI: 10.5120/9356-3692

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Predictive Management of Fire Risks in Building

Sanae Khali Issa¹,

Abdellah Azmani²,

Karima Zejli³

Abstract: This paper presents a method for forward management of buildings fire risks. This method combines artificial intelligence and probability through the use of Bayesian Networks.

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2013

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Vulnerability Analysis of Fire Spreading in a Building using Fuzzy Logic and its Integration in a Decision Support System

Issa¹,

Azmani²,

Amami³

2013

IJCA

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In this paper, a new method is proposed to analyze the vulnerability of fire spreading in building. This study is based on the application of the artificial intelligence using fuzzy logic. After an overview of the phenomenon of spreading [1] [2], an identification of the various parameters that may influence this phenomenon has been achieved and by applying fuzzy logic technique, the vulnerability analysis has been established. This study represents an important step for modeling a decision support system in order to optimize the fire risk in a building.

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Vulnerability Analysis of Fire Spreading in a Building using Fuzzy Logic and its Integration in a Decision Support System

Issa¹,

Azmani²,

Amami³

2013

IJCA

Self Cite

View full text Add to dashboard Cite

show abstract

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Predictive Management of Fire Risks in Building

Abstract: This paper presents a method for forward management of buildings fire risks. This method combines artificial intelligence and probability through the use of Bayesian Networks.

Cited by 1 publication

References 1 publication

Vulnerability Analysis of Fire Spreading in a Building using Fuzzy Logic and its Integration in a Decision Support System

Vulnerability Analysis of Fire Spreading in a Building using Fuzzy Logic and its Integration in a Decision Support System

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