Accidental release: Fuzzy selection of adequate formal model

Raija Koivisto, Rhea Kakko, Mirko Dohnal, Martti Järveläinen

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Abstract

Risk assessment of a chemical process plant requires the application of a variety of consequence models in order to estimate the potential physical effects of accidental releases. The types of models required vary depending upon the substance under consideration and the circumstances of a release. The objective of this study was the development and application of a system based upon ‘fuzzy logic’, for the selection of a computer model to be used in consequence analysis in specific situations where only certain types of consequence models can be used. The collection of data for modelling purposes from different kinds of computer model and application of fuzzy methods were also important aims of the study.

Original languageEnglish
Pages (from-to)317 - 331
Number of pages15
JournalJournal of Loss Prevention in the Process Industries
Volume4
Issue number5
DOIs
Publication statusPublished - 1991
MoE publication typeA1 Journal article-refereed

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Computer Simulation
Chemical Phenomena
Fuzzy Logic
computer simulation
chemical risk assessment
fuzzy logic
Risk assessment
Fuzzy logic
Formal model
methodology

Cite this

Koivisto, Raija ; Kakko, Rhea ; Dohnal, Mirko ; Järveläinen, Martti. / Accidental release : Fuzzy selection of adequate formal model. In: Journal of Loss Prevention in the Process Industries. 1991 ; Vol. 4, No. 5. pp. 317 - 331.
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Accidental release : Fuzzy selection of adequate formal model. / Koivisto, Raija; Kakko, Rhea; Dohnal, Mirko; Järveläinen, Martti.

In: Journal of Loss Prevention in the Process Industries, Vol. 4, No. 5, 1991, p. 317 - 331.

Research output: Contribution to journalArticleScientificpeer-review

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T1 - Accidental release

T2 - Fuzzy selection of adequate formal model

AU - Koivisto, Raija

AU - Kakko, Rhea

AU - Dohnal, Mirko

AU - Järveläinen, Martti

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AB - Risk assessment of a chemical process plant requires the application of a variety of consequence models in order to estimate the potential physical effects of accidental releases. The types of models required vary depending upon the substance under consideration and the circumstances of a release. The objective of this study was the development and application of a system based upon ‘fuzzy logic’, for the selection of a computer model to be used in consequence analysis in specific situations where only certain types of consequence models can be used. The collection of data for modelling purposes from different kinds of computer model and application of fuzzy methods were also important aims of the study.

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EP - 331

JO - Journal of Loss Prevention in the Process Industries

JF - Journal of Loss Prevention in the Process Industries

SN - 0950-4230

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