Evaluation of power plants to prioritise the investment projects using fuzzy PROMETHEE method

Tabaraee, Elham; Ebrahimnejad, Sadoullah; Bamdad, Shahrooz

doi:10.1080/14786451.2017.1366489

Cited by 24 publications

(14 citation statements)

References 29 publications

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“…The results indicated the proper performance of the SWARA and GRA hybrid approach. Tabaraee et al (2018) prioritized investment projects using the fuzzy PROMETHEE approach. Therefore, different power plants were prioritized for investment.…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid fuzzy MCDM and FMEA integrating with linear programming approach for the health and safety executive risks: a case study

Khalilzadeh

Ghasemi

Afrasiabi

et al. 2021

JM2

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Purpose The purpose of this study is to present a new failure mode and effects analysis (FMEA) approach based on fuzzy multi-criteria decision-making (MCDM) methods and multi-objective programming model for risk assessment in the planning phase of the oil and gas construction projects (OGCP) in Iran. Design/methodology/approach This research contains multiple steps. First, 19 major potential health and safety executive (HSE) risks in OGCP were classified into six categories with the Delphi method. These factors were distinguished by the review of project documentation, checklist analysis and consulting with experts. Then, using the fuzzy SWARA method, the authors calculated the weights of major HSE risks. Subsequently, FMEA and PROMETHEE approaches were used to identify the priority of main risk factors. Eventually, a binary multi-objective linear programming approach was developed to select the risk response strategies, and an augmented e-constraint method (AECM) was used. Findings Regarding the project triple well-known constraints of time, cost and quality, which organizations usually confront, the HSE risks of OGCP were identified and prioritized. Also, the appropriate risk response strategies were also suggested to the managers to be adopted regarding the situations. Originality/value The present research points at the HSE risks’ assessment integrating the fuzzy FMEA, step-wise weight assessment ratio analysis and PROMETHEE techniques with the AECM. Further to the authors’ knowledge, the quantitative assessment of the HSE risks of OGCP has not been done using the combination of the fuzzy FMEA, MCDM and AECMs.

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Section: Literature Reviewmentioning

confidence: 99%

Hybrid fuzzy MCDM and FMEA integrating with linear programming approach for the health and safety executive risks: a case study

Khalilzadeh

Ghasemi

Afrasiabi

et al. 2021

JM2

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“…Genetic algorithms (e.g., Liu et al 2017) Differential evolutionary algorithms (e.g., Cheng et al 2014) Artificial neural networks (e.g., Oshodi and Lam 2018) Clustering techniques (e.g., Ouma and Hahn 2017) Particle swarm optimization (e.g., Song et al 2018a) Ant colony systems (e.g., Sambhoo et al 2014) AHP (e.g., Nguyen et al 2018) TOPSIS (e.g., Song et al 2018b) VIKOR (e.g., Wang et al 2018) PROMETHEE (e.g., Tabaraee et al 2018) Monte Carlo simulation (e.g., Attarzadeh et al 2017) Discrete event simulation (e.g., Sadeghi et al 2016) System dynamics (e.g., Nasirzadeh et al 2014) Agent-based modeling (e.g., Raoufi and nonprobabilistic uncertainties and overcome the lack of sufficient numerical data in modeling. Fig.…”

Section: Fuzzy Hybrid Techniquesmentioning

confidence: 99%

Fuzzy Logic and Fuzzy Hybrid Techniques for Construction Engineering and Management

Fayek

2020

J. Constr. Eng. Manage.

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Construction engineering and management are vital for successful project execution, and both researchers and practitioners continually seek ways to improve construction processes. Fuzzy logic plays an important role in many construction engineering and management applications, which are reviewed in this paper. This paper discusses the limitations of fuzzy logic and how this theory has been combined with other modeling techniques to develop fuzzy hybrid techniques, and describes the aspects of construction problems and decision making that are most effectively modeled using these techniques. Fuzzy hybrid techniques that are most common in construction are presented and examples from construction literature and the author's research program are provided. The author shares her vision of future research in this area, which is based on her expertise and experiences collaborating with construction industry partners, who have helped shape her research program and its impact on industry. Finally, the author presents her thoughts on the challenges construction researchers face in translating research to practice and measuring its impact, and she discusses some potential solutions from her research program. This paper is based on the 2019 Peurifoy Construction Advancement Address, which the author presented in

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“…Always in health sector, intuitionistic fuzzy PROMETHEE with entropy measure are used by Pratibha and Divya . In environment, many recent studies were found (Tabaraee et al and Lolli et al). Fuzzy PROMETHEE is also applied in logistics and transport (Elevli), IS outsourcing (Chen et al), software engineering (Boutkhoum et al), and many other sectors.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Concerning the MCDA approaches conducted via fuzzy PROMETHEE, there are also several recent studies of different sectors available in the literature. Gul 45 In environment, many recent studies were found (Tabaraee et al 46 Another work 50 combined fuzzy AHP and fuzzy PROMETHEE in order to propose an empirical framework to evaluate agile methods according to the requirement of a particular project. This study suffers from many drawbacks; in fact, it suffers from lack of criteria to cover all important aspects in evaluating agile methods.…”

Section: Literature Reviewmentioning

confidence: 99%

Multicriteria decision aid for agile methods evaluation using fuzzy PROMETHEE

Beggar

2018

J Software Evolu Process

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The last decade is marked by the blossom of agile methods and their growing use in many IT projects. They shared common principles and values, such as customer collaboration, early and continuous delivery of releases, accept requirements changing, and other common principles advocated by the agile manifesto since 2001. Meanwhile, there are significant differences among the practices adopted by the agile methods to fulfill agility's principles and values. The differences could be interpreted in terms of how an agile method judges the relative importance of such principles or its orientation to a specific project viewpoint (organizational, technical, or conceptual) rather than others. This fact leads to a necessity of a deep evaluation of agile methods to choose the best‐fit method suited for a project. Moreover, vague and uncertain information used to evaluate those lightweight methodologies could represent an additional difficulty for decision makers (DM). To drawback this problem, the multiple criteria decision aid (MCDA) method fuzzy PROMETHEE is proposed to assess agile methods with regard to different conflicting criteria and handling besides uncertainty in decision making. Furthermore, a sensitivity analysis is provided to validate results and verify their stability.

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Evaluation of power plants to prioritise the investment projects using fuzzy PROMETHEE method

Cited by 24 publications

References 29 publications

Hybrid fuzzy MCDM and FMEA integrating with linear programming approach for the health and safety executive risks: a case study

Hybrid fuzzy MCDM and FMEA integrating with linear programming approach for the health and safety executive risks: a case study

Fuzzy Logic and Fuzzy Hybrid Techniques for Construction Engineering and Management

Multicriteria decision aid for agile methods evaluation using fuzzy PROMETHEE

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