Research Article

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

by  Sanae Khali Issa, Abdellah Azmani, Benaissa Amami
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 76 - Issue 6
Published: August 2013
Authors: Sanae Khali Issa, Abdellah Azmani, Benaissa Amami
10.5120/13255-0732
PDF

Sanae Khali Issa, Abdellah Azmani, Benaissa Amami . Vulnerability Analysis of Fire Spreading in a Building using Fuzzy Logic and its Integration in a Decision Support System. International Journal of Computer Applications. 76, 6 (August 2013), 48-53. DOI=10.5120/13255-0732 

                        @article{ 10.5120/13255-0732,
                        author  = { Sanae Khali Issa,Abdellah Azmani,Benaissa Amami },
                        title   = { Vulnerability Analysis of Fire Spreading in a Building using Fuzzy Logic and its Integration in a Decision Support System },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 76 },
                        number  = { 6 },
                        pages   = { 48-53 },
                        doi     = { 10.5120/13255-0732 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Sanae Khali Issa
                        %A Abdellah Azmani
                        %A Benaissa Amami
                        %T Vulnerability Analysis of Fire Spreading in a Building using Fuzzy Logic and its Integration in a Decision Support System%T 
                        %J International Journal of Computer Applications
                        %V 76
                        %N 6
                        %P 48-53
                        %R 10.5120/13255-0732
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

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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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Artificial intelligence fuzzy set vulnerability spreading fire risk

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