Risk ranking in mega projects by fuzzy compromise approach: A comparative analysis

Ebrahimnejad, Sadoullah; Mousavi, Seyed Meysam; Tavakkoli–Moghaddam, Reza; Heydar, Mojtaba

doi:10.3233/ifs-130785

Cited by 30 publications

(10 citation statements)

References 19 publications

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“…Vahdani et al 59 Contractor selection in construction industry VIKOR Ebrahimnejad et al 60 A real case study in the power industry VIKOR, TOPSIS and LINMAP Qin et al 61 High-tech risk evaluation VIKOR based on the prospect theory Awasthi values of its membership function, neutral function, negative membership function, and refusal function are the exact numbers. Entropy and divergence measures, which depict more attention in the IFS theory and PFS theory, are widely used in different decision-making approaches, pattern recognition, and medical diagnosis problems.…”

Section: Opricovic 40 Optimizationmentioning

confidence: 99%

A novel TODIM‐VIKOR approach based on entropy and Jensen–Tsalli divergence measure for picture fuzzy sets in a decision‐making problem

Arya

Kumar

2020

Int J Intell Syst

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Section: Opricovic 40 Optimizationmentioning

confidence: 99%

A novel TODIM‐VIKOR approach based on entropy and Jensen–Tsalli divergence measure for picture fuzzy sets in a decision‐making problem

Arya

Kumar

2020

Int J Intell Syst

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“…Then, the approach tries to minimize only the negative consequences. In other words, risks have both positive and negative impacts and minimizing both impacts would reduce the efficiency of the method (Ebrahimnejad, Mousavi, Tavakkoli-Moghaddam, & Heydar, 2014;Hashemi, Mousavi, & Mojtahedi, 2011;Hashemi, Mousavi, Tavakkoli-Moghaddam, & Gholipour, 2013;Zolfaghari & Mousavi, 2018).…”

Section: Riskmentioning

confidence: 99%

Project Portfolio Selection Problems: A Review of Models, Uncertainty Approaches, Solution Techniques, and Case Studies

Mohagheghi

Mousavi

Antuchevičienė

et al. 2019

Technological and Economic Development of Economy

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Project portfolio selection has been the focus of many scholars in the last two decades. The number of studies on the strategic process has significantly increased over the past decade. Despite this increasing trend, previous studies have not been yet critically evaluated. This paper, therefore, aims to presents a comprehensive review of project portfolio selection and optimization studies focusing on the evaluation criteria, selection approach, solution approach, uncertainty modeling, and applications. This study reviews more than 140 papers on project portfolio selection research topic to identify the gaps and to present future trends. The findings show that not only the financial criteria but also social and environmental aspects of project portfolios have been focused by researchers in project portfolio selection in recent years. In addition, meta-heuristics and heuristics approach to finding the solution of mathematical models have been the critical research by scholars. Expert systems, artificial intelligence, and big data science have not been considered in project portfolio selection in the previous studies. In future, researchers can investigate the role of sustainability, resiliency, foreign investment, and exchange rates in project portfolio selection studies, and they can focus on artificial intelligence environments using big data and fuzzy stochastic optimization techniques.

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“…Chou et al (2008) provided a fuzzy multiple attributes decision-making method called fuzzy simple additive weighting system, for handling facility location selection problems by applying objective/subjective attributes under group decision-making circumstances. Ebrahimnejad et al (2014) investigated the relative importance of risk ranking in mega projects by applying fuzzy compromise programming methods. Fisher (2011) investigated what project management practitioners could consider to be skills and behaviors of an effective people project manager.…”

Section: Literature Reviewmentioning

confidence: 99%

A structural equation modeling approach to examine the relationship between complexity factors of a project and the merits of project manager

Makui¹,

Zadeh²,

Bagherpour³

et al. 2018

10.5267/j.jpm

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A structural equation modeling approach to examine the relationship between complexity factors of a project and the merits of project manager Nowadays, projects have become so widespread in the world that individuals and organizations are always involved in a variety of them. Recent advances in technology and fundamental changes in most scientific disciplines have had an essential impact on projects, and have made the nature and environmental conditions governing them to become more complex than before. With increasing complexity, the amount of information needed for project management increases. In general, the increasing complexity of projects is a growing source of project risks. It has been recognized that complexity affects the performance of a project and will be effective in its success. In this context, the traditional principles and practices of project management are no longer able to control the emerging complexity of projects. In addition, one of the key factors for the success of the projects is the appropriateness of the project manager's assignment. Many studies have been carried out in identifying the suitability criteria of the project manager and the methods of selecting the project manager. In most of these studies, the amount and type of complexity of the project are mentioned as factors influencing the design of an appropriate project manager. However, there has not yet been a specific approach for selecting the project manager with regard to the complexity of the project. Therefore, in this research, we try to investigate the relationship between the complexity of the project and the merits of the project manager by applying a structural equation modeling approach.

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Risk ranking in mega projects by fuzzy compromise approach: A comparative analysis

Cited by 30 publications

References 19 publications

A novel TODIM‐VIKOR approach based on entropy and Jensen–Tsalli divergence measure for picture fuzzy sets in a decision‐making problem

A novel TODIM‐VIKOR approach based on entropy and Jensen–Tsalli divergence measure for picture fuzzy sets in a decision‐making problem

Project Portfolio Selection Problems: A Review of Models, Uncertainty Approaches, Solution Techniques, and Case Studies

A structural equation modeling approach to examine the relationship between complexity factors of a project and the merits of project manager

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