Model for selecting a route for the transport of hazardous materials using a fuzzy logic system

Introduction/purpose: The paper presents a model for the selection of a route for the transport of hazardous materials using fuzzy logic systems, as a type of artificial intelligence systems. The system presented in the paper is a system for assistance in the decisionmaking process of the traffic...

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Autores principales:	Teodora D. Milošević, Dragan S. Pamučar, Prasenjit Chatterjee
Formato:	article
Lenguaje:	EN
Publicado:	University of Defence in Belgrade 2021
Materias:	fuzzy logic fuzzy set atpp fucom hazardous materials matlab Military Science U Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/37e877db19464af2b312466fde9a3783
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spelling	oai:doaj.org-article:37e877db19464af2b312466fde9a37832021-12-02T12:50:29ZModel for selecting a route for the transport of hazardous materials using a fuzzy logic system10.5937/vojtehg69-296290042-84692217-4753https://doaj.org/article/37e877db19464af2b312466fde9a37832021-04-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/0042-8469/2021/0042-84692102355M.pdfhttps://doaj.org/toc/0042-8469https://doaj.org/toc/2217-4753Introduction/purpose: The paper presents a model for the selection of a route for the transport of hazardous materials using fuzzy logic systems, as a type of artificial intelligence systems. The system presented in the paper is a system for assistance in the decisionmaking process of the traffic service authorities when choosing one of several possible routes on a particular path when transporting hazardous materials. Methods: The route evaluation is performed on the basis of five criteria. Each input variable is represented by three membership functions, and the output variable is defined by five membership functions. All rules in a fuzzy logic system are determined by applying the method of weight premise aggregation (ATPP), which allows the formation of a database based on experience and intuition. Based on the number of input variables and the number of their membership functions, the basic base of 243 rules is defined. Three experts from the Ministry of Defense were interviewed to determine the weighting coefficients of the membership functions, and the values of the coefficients were determined using the Full Consistency Method (FUCOM). Results: A user program which enables the practical application of this model has been created for the developed fuzzy logic system. Conclusion: The user platform was developed in the Matlab 2008b software package. Teodora D. MiloševićDragan S. PamučarPrasenjit ChatterjeeUniversity of Defence in Belgradearticlefuzzy logicfuzzy setatppfucomhazardous materialsmatlabMilitary ScienceUEngineering (General). Civil engineering (General)TA1-2040ENVojnotehnički Glasnik, Vol 69, Iss 2, Pp 355-390 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fuzzy logic fuzzy set atpp fucom hazardous materials matlab Military Science U Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	fuzzy logic fuzzy set atpp fucom hazardous materials matlab Military Science U Engineering (General). Civil engineering (General) TA1-2040 Teodora D. Milošević Dragan S. Pamučar Prasenjit Chatterjee Model for selecting a route for the transport of hazardous materials using a fuzzy logic system
description	Introduction/purpose: The paper presents a model for the selection of a route for the transport of hazardous materials using fuzzy logic systems, as a type of artificial intelligence systems. The system presented in the paper is a system for assistance in the decisionmaking process of the traffic service authorities when choosing one of several possible routes on a particular path when transporting hazardous materials. Methods: The route evaluation is performed on the basis of five criteria. Each input variable is represented by three membership functions, and the output variable is defined by five membership functions. All rules in a fuzzy logic system are determined by applying the method of weight premise aggregation (ATPP), which allows the formation of a database based on experience and intuition. Based on the number of input variables and the number of their membership functions, the basic base of 243 rules is defined. Three experts from the Ministry of Defense were interviewed to determine the weighting coefficients of the membership functions, and the values of the coefficients were determined using the Full Consistency Method (FUCOM). Results: A user program which enables the practical application of this model has been created for the developed fuzzy logic system. Conclusion: The user platform was developed in the Matlab 2008b software package.
format	article
author	Teodora D. Milošević Dragan S. Pamučar Prasenjit Chatterjee
author_facet	Teodora D. Milošević Dragan S. Pamučar Prasenjit Chatterjee
author_sort	Teodora D. Milošević
title	Model for selecting a route for the transport of hazardous materials using a fuzzy logic system
title_short	Model for selecting a route for the transport of hazardous materials using a fuzzy logic system
title_full	Model for selecting a route for the transport of hazardous materials using a fuzzy logic system
title_fullStr	Model for selecting a route for the transport of hazardous materials using a fuzzy logic system
title_full_unstemmed	Model for selecting a route for the transport of hazardous materials using a fuzzy logic system
title_sort	model for selecting a route for the transport of hazardous materials using a fuzzy logic system
publisher	University of Defence in Belgrade
publishDate	2021
url	https://doaj.org/article/37e877db19464af2b312466fde9a3783
work_keys_str_mv	AT teodoradmilosevic modelforselectingarouteforthetransportofhazardousmaterialsusingafuzzylogicsystem AT draganspamucar modelforselectingarouteforthetransportofhazardousmaterialsusingafuzzylogicsystem AT prasenjitchatterjee modelforselectingarouteforthetransportofhazardousmaterialsusingafuzzylogicsystem
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Model for selecting a route for the transport of hazardous materials using a fuzzy logic system

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