Fuzzy based risk assessment module for metropolitan construction project: An empirical study

Samantra, Chitrasen; Datta, Saurav; Mahapatra, Siba Sankar

doi:10.1016/j.engappai.2017.04.019

Cited by 86 publications

(74 citation statements)

References 60 publications

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“…e central government of China has also attached great importance to the harmonious and stable development of society. Social risks cannot be fully eliminated, rather, it can be effectively managed to mitigate the negative impacts [6].…”

Section: Introductionmentioning

confidence: 99%

Social Risk Assessment and Management for Major Construction Projects in China Based on Fuzzy Integrated Analysis

Miao

Huang

2019

Complexity

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With the vigorous development of major engineering projects in China, the social risks associated with major construction projects not only challenge the success of projects but also threaten social harmony and stability. erefore, it is of great practical signi cance to assess and manage social risks. is paper aims to identify and evaluate the social risk factors by conducting a survey and assess the overall risk level of major construction projects (MCPs) with fuzzy integrated approach. First, 35 social risk factors and related stakeholders were identi ed based on literature analysis and case study. en, 18 critical social risk factors (CSRFs) were selected and classi ed into six groups (CSRGs) based on a questionnaire survey. Next, using fuzzy integrated method, the probability of occurrence (PO), magnitude of impact (MI), the integrated risk level (IRL) of each CSRF and CSRG, and the overall risk of MCPs were calculated. As a result, "unfair compensation for housing demolition and land requisition" was the most critical social risk factor, and "policy/legal risk" was the most critical social risk group. e overall risk of MCPs was between moderate and high. At last, a social risk synthetic management framework was established, which can provide reference for policymakers and project decision makers to e ectively manage the social risks.

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Section: Introductionmentioning

confidence: 99%

Social Risk Assessment and Management for Major Construction Projects in China Based on Fuzzy Integrated Analysis

Miao

Huang

2019

Complexity

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“…Guerin considered a number of aspects, including approval, costs, impacts of nature and community participation, comparison between expected and observed risks in a largescale photovoltaic project and focused on construction dangers (Guerin, 2017). In order to evaluate the severity of construction projects more precisely, researchers investigated methods of coping with one-dimensionality and undesirable characteristics related to organizational risk factors through a ductal fuzzy number (Samantra et al, 2017). Fera et al, during a study entitled "prioritizing the risks in decision making for wind energy investment using the ANP", classified and prioritized the risks in an installation project for an energy wind initiative using ANP.…”

Section: Background Researchmentioning

confidence: 99%

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2019

IJET

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This study was carried out aimed to investigate risks affecting increased delays in drinking water pipeline transport projects (Case Study: Regional Water Company, Kermanshah Province). The statistical population in the present study consists of employees and contractors of Kermanshah regional water company. The interview was conducted with 25 people in order to collect information and conduct interviews about the characteristics of the model. The analytic hierarchy process (AHP) was performed. According to the results, among the identified areas related to the group of risks related to the considerations and geological conditions of the region, the risk related to the presence of faults in the area with a calculated weight of 0.19 and a trench bed settlement with a calculated weight of 0.13 and collision with clay soil in the path with the calculated weight of the 12/0 were selected as the most important effective factors. According to the results of the main criteria validation, among the five main criteria examined, the risk related to the conditions of piping with a weight of 0.47 was the most important indicators. After that, the risks related to the considerations and geological conditions of the region and the risks associated with access to the materials and materials needed for the project, each with a weight of 0.21, were considered as important factors in determining the risk of the Kermanshah water transport pipeline project. The analysis of project risksare critical in important and high-risk projects such as water transport pipelines projectsdue tothe strategic importance of drinking water supply. Although civil engineers alone do not make critical decisions on these issues, but they are responsible for providing some specialized information to final decision makers. Surface waters and underground waters are considered as one of the main and key sources of drinking water.It is necessary for human life to know thatthe balance of water resources is threatened in quantitative and qualitative terms, in the last few decades, due to increasing population growth followed by an increase in the water needs of the country.One of the important parts of the water processesis the transfer from the source to the refinery and the transfer to the distribution network for consumption. This direction should be prevented by applying proper management and implementing the principled plans to increase the cost of transferring and constructing and constructing water transmission projects in different sectors.In this regard, it should be prevented from increasing the transfer and construction cost of water transfer projects in different sectors by proper management and implementation of substantiveplans. Each section of the project mustidentify the project risks within the project scope while aware of the activities and responses of other sectors. This study has investigated the effect of risk affecting increasing delays in drinking water transport pipelines projects in Kermanshah.

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“…Chen et al combined Dempster‐Shafer evidence theory with failure mode and effects analysis (FMEA) to quantify uncertainty risk indicators and prioritization issues. Samantra et al divided risk into two parts, the possibility and impact of occurrence, and proposed a comprehensive risk evaluation method based on fuzzy set theory. Wu et al identified key risk factors using the extended hesitant fuzzy linguistic term sets (HFLTS)‐DEMATEL fuzzy comprehensive assessment method.…”

Section: Introductionmentioning

confidence: 99%

A credit risk evaluation based on intuitionistic fuzzy set theory for the sustainable development of electricity retailing companies in China

Tan

et al. 2019

Energy Science & Engineering

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As China's power market becomes more orderly, electricity retailing companies are influenced by multiple factors restricting their healthy, stable, and sustainable development. This paper explores these issues through four dimensions, the external basic environment, operating credit risk, financial credit risk, and transaction credit risk, and determines the credit risk evaluation index system, which includes 22 factors relevant to electricity retailing companies. To achieve this, this paper utilizes the characteristics of the intuitionistic fuzzy set theory and, in an uncertain environment, the proposed credit risk assessment model based on the intuitionistic fuzzy analytic hierarchy process (IFAHP). In order to improve the identification degree of the credit risk evaluation of electricity retailing companies, a penalty factor is introduced into the model, and the variable weight mechanism of dynamic adjustment hesitancy is proposed. Finally, we select five electricity retailing companies and use different evaluation methods to conduct a comprehensive credit risk evaluation, so as to improve the credit risk level of electricity retailing companies.

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Fuzzy based risk assessment module for metropolitan construction project: An empirical study

Cited by 86 publications

References 60 publications

Social Risk Assessment and Management for Major Construction Projects in China Based on Fuzzy Integrated Analysis

Social Risk Assessment and Management for Major Construction Projects in China Based on Fuzzy Integrated Analysis

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A credit risk evaluation based on intuitionistic fuzzy set theory for the sustainable development of electricity retailing companies in China

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