Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings

Jerzy Mikulik; Mirosław Zajdel

International Journal of Applied Mathematics and Computer Science (2009)

  • Volume: 19, Issue: 2, page 317-326
  • ISSN: 1641-876X

Abstract

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The main area which Formal Safety Assessment (FSA) methodology was created for is maritime safety. Its model presents quantitative risk estimation and takes detailed information about accident characteristics into account. Nowadays, it is broadly used in shipping navigation around the world. It has already been shown that FSA can be widely used for the assessment of pilotage safety. On the basis of analysis and conclusion on the FSA approach, this paper attempts to show that the adaptation of this method to another area-risk evaluating in operating conditions of buildings-is possible and effective. It aims at building a mathematical model based on fuzzy logic risk assessment with different habitat factors included. The adopted approach lets us describe various situations and conditions that occur in creating and exploiting of buildings, allowing for automatic control of the risk connected to them.

How to cite

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Jerzy Mikulik, and Mirosław Zajdel. "Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings." International Journal of Applied Mathematics and Computer Science 19.2 (2009): 317-326. <http://eudml.org/doc/207938>.

@article{JerzyMikulik2009,
abstract = {The main area which Formal Safety Assessment (FSA) methodology was created for is maritime safety. Its model presents quantitative risk estimation and takes detailed information about accident characteristics into account. Nowadays, it is broadly used in shipping navigation around the world. It has already been shown that FSA can be widely used for the assessment of pilotage safety. On the basis of analysis and conclusion on the FSA approach, this paper attempts to show that the adaptation of this method to another area-risk evaluating in operating conditions of buildings-is possible and effective. It aims at building a mathematical model based on fuzzy logic risk assessment with different habitat factors included. The adopted approach lets us describe various situations and conditions that occur in creating and exploiting of buildings, allowing for automatic control of the risk connected to them.},
author = {Jerzy Mikulik, Mirosław Zajdel},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {risk; formal safety assessment; fuzzy logic; intelligent building},
language = {eng},
number = {2},
pages = {317-326},
title = {Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings},
url = {http://eudml.org/doc/207938},
volume = {19},
year = {2009},
}

TY - JOUR
AU - Jerzy Mikulik
AU - Mirosław Zajdel
TI - Automatic risk control based on FSA methodology adaptation for safety assessment in intelligent buildings
JO - International Journal of Applied Mathematics and Computer Science
PY - 2009
VL - 19
IS - 2
SP - 317
EP - 326
AB - The main area which Formal Safety Assessment (FSA) methodology was created for is maritime safety. Its model presents quantitative risk estimation and takes detailed information about accident characteristics into account. Nowadays, it is broadly used in shipping navigation around the world. It has already been shown that FSA can be widely used for the assessment of pilotage safety. On the basis of analysis and conclusion on the FSA approach, this paper attempts to show that the adaptation of this method to another area-risk evaluating in operating conditions of buildings-is possible and effective. It aims at building a mathematical model based on fuzzy logic risk assessment with different habitat factors included. The adopted approach lets us describe various situations and conditions that occur in creating and exploiting of buildings, allowing for automatic control of the risk connected to them.
LA - eng
KW - risk; formal safety assessment; fuzzy logic; intelligent building
UR - http://eudml.org/doc/207938
ER -

References

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  11. Mikulik, J. and Zajdel, M. (2008). Quantitative and qualitative models for risk assessment in exploitation of ecologically dangerous structures, VISNIK of the East Ukrainian National University Named in Memory of Vladimir Dal Scientific Journal 126(8): 298-303. 
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