Risk Analysis for Critical Infrastructures Using Fuzzy TOPSIS

Yazdani, Morteza; Alidoosti, Ali; Basiri, Mohammad Hossein

doi:10.5296/jmr.v4i1.979

Cited by 17 publications

(9 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High importance of project selection in the project life cycle while solving bid/no-bid problems, especially in the construction industry, have been analysed by Abbasianjahromi and Rajaie (2012). Risk can be analysed with the help of the following methods: based on fuzzy TOPSIS bid/no-bid model (Ravanshadnia, Rajaie 2013); in fuzzy environment, applying TOPSIS-F method (Tamošaitienė et al 2013); based on intelligent agents (Smeureanu et al 2012); RAMCAP (Risk Analysis and Management for Critical Asset Protection) by introducing new parameters that affect risk value (Yazdani et al 2011);and Fuzzy Synthetic Model (Abdul-Rahman et al 2013). In terms of risk management, it is important to consider the following issues:…”

Section: Review Of Risk In Construction Industrymentioning

confidence: 99%

Risk Management in Construction Projects

Iqbal

Choudhry

Holschemacher

et al. 2015

Technological and Economic Development of Economy

167

117

View full text Add to dashboard Cite

Risk management is an important field of construction industry and has gained more importance internationally due to the latest researches carried out on a large scale. However, this relatively new field requires more attention to bring some benefit. Construction projects are facing a number of risks which have negative effects on project objects such as time, cost and quality. This study is based on findings of a questionnaire-based survey on risk management in construction projects in Pakistan, reporting the significance of different type of risk, ultimate responsibility for them and the effectiveness of some most common risk management techniques practiced in the industry. Two types of risk management techniques were considered: preventive techniques which can be used before the start of a project to manage risks that are anticipated during the project execution; and remedial techniques that are used during the execution phase once a risk has already occurred. The study revealed that financial issues for projects, accidents on site and defective design are the most significant risks affecting most of construction projects. As further reported, the contractor is responsible for management of most risks occurring at sites during the implementation phase, such as issues related to subcontractors, labour, machinery, availability of materials and quality, while the client is responsible for the risks such as financial issues, issues related to design documents, changes in codes and regulations, and scope of work. Further reported results of the analysis demonstrate that the production of proper schedule by getting updated data of the project and guidance from previous similar projects are the most effective preventive risk management techniques while close supervision and coordination within projects are the most effective remedial risk management techniques. It may be concluded that the most significant risks must be managed with greater effort to reduce/eliminate their effects on the project. As the study concludes, preparation of a proper schedule and good coordination during the implementation stage are very important as they may help project managers to focus on critical areas for better management of projects in Pakistan.

show abstract

Section: Review Of Risk In Construction Industrymentioning

confidence: 99%

Risk Management in Construction Projects

Iqbal

Choudhry

Holschemacher

et al. 2015

Technological and Economic Development of Economy

167

117

View full text Add to dashboard Cite

show abstract

“…TOPSIS is criticized due to its neglect of uncertainty and excessive subjectivity in setting weights (Yazdani, Alidoosti, & Basiri, ). Therefore, the fuzzy TOPSIS with linguistic assessments has been developed to model the uncertainty and address situations that are too complex or not well‐defined enough (Yazdani et al., ; Yeh & Chang, ). As such, the fuzzy TOPSIS or related techniques should also be considered for further experiments.…”

Section: Limitations and Further Studiesmentioning

confidence: 99%

A hybrid consumer‐oriented model for product affective design: An aspect of visual ergonomics

Lin

Wei

2016

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

Crucial issues for product designers include how to capture consumers’ attention, evoke their pleasurable preferences, and affect their purchase decisions. In this article, we focus on consumers’ affective preferences in relation to visual ergonomics to propose a new hybrid consumer‐oriented model using gray relational analysis (GRA), gray prediction (GP), and the technique for order preference by similarity to ideal solution (TOPSIS). The GRA is used to identify the most influential elements of the product form to help product designers focus their attention more on these elements without compromising the predictive performance. The GP is used in conjunction with the GRA to obtain a better structure for the hybrid consumer‐oriented model, and TOPSIS is performed to determine the optimal alternatives for best matching consumers’ affective preferences. These experimental results show that the new hybrid consumer‐oriented model incorporated with the CAD/CAM system can facilitate the product affective design process.

show abstract

“…Another study by Yazdani et al, (2012) identified the risk criteria and used Fuzzy TOPSIS as an uncertainty-based multi-criteria decision-making technique to determine the weights of each criterion and the importance of investment alternatives with respect to the risk criteria. This framework extends the Risk Analysis and Management for Critical Infrastructure Protection (RAMCAP) method by introducing new parameters to assess the effects on risk value.…”

Section: Risk = Threat • Infrastructure Vulnerability or Resilience •mentioning

confidence: 99%

Complex Systems Design & Management

2015

View full text Add to dashboard Cite

Risk Analysis for Critical Infrastructures Using Fuzzy TOPSIS

Cited by 17 publications

References 26 publications

Risk Management in Construction Projects

Risk Management in Construction Projects

A hybrid consumer‐oriented model for product affective design: An aspect of visual ergonomics

Complex Systems Design & Management

Contact Info

Product

Resources

About