Construction project risk assessment by using adaptive-network-based fuzzy inference system: An empirical study

Ebrat, Mehdi; Ghodsi, Reza

doi:10.1007/s12205-014-0139-5

Cited by 49 publications

(37 citation statements)

References 34 publications

(20 reference statements)

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“…Serpella et al [18] applied a knowledge-based approach, based on a three-fold arrangement and risk management function, to address project risks in the construction management sector. Ebrat and Ghodsi [14] identified the risks in construction projects based on the adaptive neuro fuzzy inference system and stepwise regression model for the evaluation of project risks. Taylan et al [15] proposed hybrid methodologies combining fuzzy AHP and fuzzy TOPSIS and applied the relative importance index method to prioritise the project risks based on the data obtained.…”

Section: Previous Studies On Risk Assessment In Construction Projectsmentioning

confidence: 99%

“…Based on the crisp matrix R C (13), construct a probability matrix R p = p ij n×n (14), representing the preference probability between a pair wise set of n criteria C = {C 1 , C 2 , . .…”

Section: D-cfpr: D Numbers Extended Cfprmentioning

confidence: 99%

“…Thus, in this scenario, risk management can be considered a vital part of the decision-making process in construction projects. These projects may involve many stakeholders, Symmetry 2018, 10, 46 2 of 28 in addition to uncertain socio-economic conditions at the project site, bringing big challenges to practitioners of the industry in recent decades [13,14]. Construction project failure may cause higher costs and time over-runs, requiring a systematic risk assessment and evaluation procedure to classify and respond to changes [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, by applying this defined row deletion order operation on the matrix R p = p ij n×n (14), construct the triangular probability matrix R T p , shown in (15):…”

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confidence: 99%

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A Hybrid MCDM Technique for Risk Management in Construction Projects

et al. 2018

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Multi-stakeholder based construction projects are subject to potential risk factors due to dynamic business environment and stakeholders' lack of knowledge. When solving project management tasks, it is necessary to quantify the main risk indicators of the projects. Managing these requires suitable risk mitigation strategies to evaluate and analyse their severity. The existence of information asymmetry also causes difficulties with achieving Pareto efficiency. Hence, to ensure balanced satisfaction of all participants, risk evaluation of these projects can be considered as an important part of the multi-criteria decision-making (MCDM) process. In real-life problems, evaluation of project risks is often uncertain and even incomplete, and the prevailing methodologies fail to handle such situations. To address the problem, this paper extends the analytical network process (ANP) methodology in the D numbers domain to handle three types of ambiguous information's, viz. complete, uncertain, and incomplete, and assesses the weight of risk criteria. The D numbers based approach overcomes the deficiencies of the exclusiveness hypothesis and completeness constraint of Dempster-Shafer (D-S) theory. Here, preference ratings of the decision matrix for each decision-maker are determined using a D numbers extended consistent fuzzy preference relation (D-CFPR). An extended multi-attributive border approximation area comparison (MABAC) method in D numbers is then developed to rank and select the best alternative risk response strategy. Finally, an illustrative example from construction sector is presented to check the feasibility of the proposed approach. For checking the reliability of alternative ranking, a comparative analysis is performed with different MCDM approaches in D numbers domain. Based on different criteria weights, a sensitivity analysis of obtained ranking of the hybrid D-ANP-MABAC model is performed to verify the robustness of the proposed method.

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Section: Previous Studies On Risk Assessment In Construction Projectsmentioning

confidence: 99%

“…Based on the crisp matrix R C (13), construct a probability matrix R p = p ij n×n (14), representing the preference probability between a pair wise set of n criteria C = {C 1 , C 2 , . .…”

Section: D-cfpr: D Numbers Extended Cfprmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Thus, by applying this defined row deletion order operation on the matrix R p = p ij n×n (14), construct the triangular probability matrix R T p , shown in (15):…”

mentioning

confidence: 99%

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A Hybrid MCDM Technique for Risk Management in Construction Projects

et al. 2018

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“…As most of the landslides occurred in upper rock structures, then upper rock structures are taken as research objects. The calculation steps of rock mass comprehensive parameters [14,15]:…”

Section: Deterioration Rule Of Comprehensive Mechanical Parametersmentioning

confidence: 99%

Long-term stability calculation of reservoir bank slope considering water-rock interaction

2017

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Preliminary communicationEarly warning and forecast have always been the key points for landslide research because the disaster caused by landslide leads to enormous life and property loss. This article applies the transformed degradation results of rock to rock mass to calculate the stability and failure mode changes of landslide over time, and to guide engineering through experiment based on hydro-fluctuation belt water-rock interaction of Three Gorges Reservoir area. The results showed that until the rock mass degrades to a certain extent, the sliding zone export gets rise, the slip plane moves to surface, the back edge crack surface gets down, and the sliding mass gradually narrows down. As the ability of hydro-fluctuation belt to resist upper rock mass load reduces, the hydrofluctuation belt collapses at the first, and then causes the back edge crack resulting in huge amount of rock mass slip. The contribution of each parameter in different stratum to landslide stability is studied through sensitivity analysis. Based on this, the comprehensive strength parameter can be evaluated and calculated combined with continuous deterioration of hydro-fluctuation belt. The comprehensive strength parameter can reflect comprehensive disaster resist capacity of landslide. The research results provide a reference for actual project, and the research methods provide a new way for landslide early warning and forecast.Keywords: comprehensive strength; deteriorating rule; failure mode; reservoir bank slope; stability analysis; water-rock interaction Proračun dugoročne stabilnosti nagiba nasipa akumulacije s obzirom na interakciju voda-stijenaPrethodno priopćenje Rano upozorenje i prognoza oduvijek su ključne točke u istraživanju klizišta jer katastrofa koju izaziva klizište rezultira ogromnim gubitkom života i imetka. U radu se transformirani rezultati degradacije mase jedne stijene u odnosu na drugu primjenjuju u izračunu promjena stanja stabilnosti i propadanja klizišta tijekom vremena te kao vodič kroz eksperiment zasnovan na interakciji voda-stijena hidro fluktuacijskog pojasa područja akumulacije Three Gorges. Rezultati su pokazali da dok stijenska masa ne degradira do određene mjere, područje klizišta se povećava, klizna površina se kreće ka površini, spušta se napukla površina stražnjeg ruba i masa klizišta se postepeno sužava. Budući da se sposobnost hidro-fluktuacijskog pojasa da se odupre težini gornje stijenske mase smanjuje, hidro-fluktuacijski pojas se najprije urušava, a zatim dovodi do pucanja stražnjeg ruba što rezultira klizanjem velike količine stijenske mase. Doprinos stabilnosti klizišta svakog parametra u raznim slojevima proučava se analizom senzitivnosti. Na temelju toga parametar čvrstoće se može procijeniti i izračunati u kombinaciji s trajnim padom kvalitete hidro-fluktuacijskog pojasa. Parametar potpune čvrstoće može odražavati uključenu sposobnost klizišta da se odupre katastrofi. Rezultati istraživanja upućuju na postojeći projekt, a metode istraživanja predstavljaju novi način za rano upozorenje ...

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Predicting the Impact Size of Uncertainty Events on Construction Cost and Time of Highway Projects Using ANFIS Technique

Moghayedi

Windapo

2020

Collaboration and Integration in Construction, Engineering, Management and Technology

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Construction project risk assessment by using adaptive-network-based fuzzy inference system: An empirical study

Cited by 49 publications

References 34 publications

A Hybrid MCDM Technique for Risk Management in Construction Projects

A Hybrid MCDM Technique for Risk Management in Construction Projects

Long-term stability calculation of reservoir bank slope considering water-rock interaction

Predicting the Impact Size of Uncertainty Events on Construction Cost and Time of Highway Projects Using ANFIS Technique

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