Experts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment

Mamdani fuzzy inference system has been widely used for potential risk modelling and management. The decision-making is usually provided by multiple experts in the field. The conflicting information in sources from different experts become an open issue and has attracted some researchers to investig...

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Autores principales:	Fatin Amirah Ahmad Shukri, Zaidi Isa
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/ed46f6d0af1d4c13be8a19db9a337e61
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id	oai:doaj.org-article:ed46f6d0af1d4c13be8a19db9a337e61
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spelling	oai:doaj.org-article:ed46f6d0af1d4c13be8a19db9a337e612021-11-15T01:19:31ZExperts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment1563-514710.1155/2021/6652419https://doaj.org/article/ed46f6d0af1d4c13be8a19db9a337e612021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6652419https://doaj.org/toc/1563-5147Mamdani fuzzy inference system has been widely used for potential risk modelling and management. The decision-making is usually provided by multiple experts in the field. The conflicting information in sources from different experts become an open issue and has attracted some researchers to investigate further. Various risk factors in a project caused difficulties for decision makers to make reliable decisions on the whole project since it involves ambiguities, vagueness, and fuzziness. The introduction of the fuzzy inference system to the evaluation of construction risk is capable in explaining its reasoning process and, hence, overcoming such problems. Risk factors under the project management risk were identified through literature sources and from the opinion of experts. It is found that the likelihood and severity of risk is somehow interlinked with the concept of fuzzy theory. For model input and output linguistics variables, the triangular membership function was selected. The methodology employs a fuzzy aggregation system in which an appropriate control action can be determined by the acquisition of expert judgment. A total of 23 rules with logical OR operator, truncation implication, and Mean of Maxima (MoM) method for defuzzification were used to create an effective fuzzy model intended for making decisions. The framework determines the relationship between input and output parameters in if-then rules or mathematical functions using an effective fuzzy arithmetic operator. The study addresses the principle issues of multiexpert opinions based on Mamdani-type decision system and the illustrative example taken from one of medium-sized project held in Malaysia’s construction industry. By comparing with other experimental results, we verify the rationality and reliability of the proposed method.Fatin Amirah Ahmad ShukriZaidi IsaHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Fatin Amirah Ahmad Shukri Zaidi Isa Experts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment
description	Mamdani fuzzy inference system has been widely used for potential risk modelling and management. The decision-making is usually provided by multiple experts in the field. The conflicting information in sources from different experts become an open issue and has attracted some researchers to investigate further. Various risk factors in a project caused difficulties for decision makers to make reliable decisions on the whole project since it involves ambiguities, vagueness, and fuzziness. The introduction of the fuzzy inference system to the evaluation of construction risk is capable in explaining its reasoning process and, hence, overcoming such problems. Risk factors under the project management risk were identified through literature sources and from the opinion of experts. It is found that the likelihood and severity of risk is somehow interlinked with the concept of fuzzy theory. For model input and output linguistics variables, the triangular membership function was selected. The methodology employs a fuzzy aggregation system in which an appropriate control action can be determined by the acquisition of expert judgment. A total of 23 rules with logical OR operator, truncation implication, and Mean of Maxima (MoM) method for defuzzification were used to create an effective fuzzy model intended for making decisions. The framework determines the relationship between input and output parameters in if-then rules or mathematical functions using an effective fuzzy arithmetic operator. The study addresses the principle issues of multiexpert opinions based on Mamdani-type decision system and the illustrative example taken from one of medium-sized project held in Malaysia’s construction industry. By comparing with other experimental results, we verify the rationality and reliability of the proposed method.
format	article
author	Fatin Amirah Ahmad Shukri Zaidi Isa
author_facet	Fatin Amirah Ahmad Shukri Zaidi Isa
author_sort	Fatin Amirah Ahmad Shukri
title	Experts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment
title_short	Experts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment
title_full	Experts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment
title_fullStr	Experts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment
title_full_unstemmed	Experts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment
title_sort	experts’ judgment-based mamdani-type decision system for risk assessment
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/ed46f6d0af1d4c13be8a19db9a337e61
work_keys_str_mv	AT fatinamirahahmadshukri expertsjudgmentbasedmamdanitypedecisionsystemforriskassessment AT zaidiisa expertsjudgmentbasedmamdanitypedecisionsystemforriskassessment
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Experts’ Judgment-Based Mamdani-Type Decision System for Risk Assessment

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