A Hybrid Fuzzy TOPSIS – Best Worst Method for Risk Prioritization in Megaprojects

Norouzi, Ashraf; Namin, Hamid Ghayur

doi:10.28991/cej-2019-03091330

Cited by 25 publications

(15 citation statements)

References 36 publications

(65 reference statements)

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“…To verify the effectiveness and superiority of the proposed method, a comparative analysis is conducted between the proposed method and three existing methods: the BWM-TODIM method [ 14 , 50 ], the BWM and multi-granularity interval 2-tuple linguistic TODIM [ 24 ], and the fuzzy BWM and fuzzy TOPSIS [ 44 ]. For concision, above three methods are denoted as Method-I, Method-II and Method-III, respectively.…”

Section: Discussionmentioning

confidence: 99%

A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment

Chai

Duan

et al. 2021

Int. J. Mach. Learn. & Cyber.

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Emergencies require various emergency departments to collaborate to achieve timely and effective emergency responses. Thus, the overall performance of emergency response is influenced not only by the efficiency of each department alternative but also by the coordination effect among different department alternatives. This paper proposes a collaborative emergency decision making (CEDM) approach considering the synergy among different department alternatives based on the best–worst method (BWM) and TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) method within an interval 2-tuple linguistic environment. First, the evaluation information provided by decision makers (DMs) is represented by interval 2-tuple linguistic variables to reflect and model the underlying diversity and uncertainty. On the basis of the DMs’ evaluations, the individual and collaborative performance evaluations of multi-alternative combinations composed of different department alternatives are constructed. Then, the BWM is extended into interval 2-tuple linguistic environment to obtain the weights of evaluation criteria, where the group decision making is taken into account in an interval fuzzy mathematical programming model. Furthermore, to derive more practical and accurate decision results, an interval 2-tuple linguistic TODIM (ITL-TODIM) method is proposed by considering the DMs’ psychological behaviours. In the developed ITL-TODIM method, both the gain and loss degrees of one alternative relative to another are simultaneously computed. Finally, a numerical example is presented to illustrate the applicability of the proposed method. Sensitivity and comparative analyses are also provided to demonstrate the effectiveness and advantages of the proposed approach.

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Section: Discussionmentioning

confidence: 99%

A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment

Chai

Duan

et al. 2021

Int. J. Mach. Learn. & Cyber.

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“…In many studies, it is frequently integrated with FMEA [35][36][37][38][39][40]. In some other studies, it is integrated with MCDM such as interval triangular fuzzy Delphi method under 5 × 5 matrix [41], F-TOPSIS [42], and artificial intelligence-based methods such as Bayesian networks [43,44] and business impact analysis [45].…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety

et al. 2020

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Driver behavior plays a major role in road safety because it is considered as a significant argument in traffic accident avoidance. Drivers mostly face various risky driving factors which lead to fatal accidents or serious injury. This study aims to evaluate and prioritize the significant driver behavior factors related to road safety. In this regard, we integrated a decision-making model of the Best-Worst Method (BWM) with the triangular fuzzy sets as a solution for optimizing our complex decision-making problem, which is associated with uncertainty and ambiguity. Driving characteristics are different in different driving situations which indicate the ambiguous and complex attitude of individuals, and decision-makers (DMs) need to improve the reliability of the decision. Since the crisp values of factors may be inadequate to model the real-world problem considering the vagueness and the ambiguity, and providing the pairwise comparisons with the requirement of less compared data, the BWM integrated with triangular fuzzy sets is used in the study to evaluate risky driver behavior factors for a designed three-level hierarchical structure. The model results provide the most significant driver behavior factors that influence road safety for each level based on evaluator responses on the Driver Behavior Questionnaire (DBQ). Moreover, the model generates a more consistent decision process by the new consistency ratio of F-BWM. An adaptable application process from the model is also generated for future attempts.

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“…Awarding tenders group was identified as the first group affecting delay. Using a hybrid fuzzy TOPSIS [1] -BWM, Norouzi and Ghayur-Namin (2019) investigated and prioritized causes of delay in a railway megaproject in Iran. Inability to meet the project required standards, inappropriate planning and scheduling and defective design were identified as the ones with the highest priority.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying and prioritizing delay factors in Iran’s oil construction projects

Kazemi

Kim

Kazemi

2020

IJESM

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Purpose Successful implementation of construction projects is one of the crucial factors for the economic development of every country. The main part of the countries’ capital is allocated to civil and infrastructure projects annually, most of which are accomplished with delay. Construction projects are often criticized for overrunning time and budgets. Analyzing the factors causing delay is essential for omitting them and timely implementation of these projects. Due to the importance of oil projects, this study aims to investigate and analyze the factors causing a delay in Iran’s oil construction projects. Design/methodology/approach In this research, after a broad literature review, using the fuzzy Delphi method, a total of 75 delay factors were identified under 11 major categories of owner, contractor, consultant, equipment, labor, materials, design, contract and contractual relations, laws and regulations, environmental factors, and managerial factors. Then, by using the best-worst method, the factors were prioritized. Findings The results showed that sanction, governmental management systems, weak project management by the contractor, technical and managerial weaknesses of the consultant, financial problems and delay in payment by the owner, low efficiency of the equipment, low productivity of the workforce, changes in laws and regulations, inappropriate organizational structure linking to the project, changes in the design, and changes in the price of materials are the most crucial factors causing a delay in Iran’s oil construction projects. Research limitations/implications These findings are expected to have significant contributions to Iran’s oil construction industry in controlling the time overruns in construction contracts. Originality/value The main contribution of this study is to develop a comprehensive framework in which, causes of delay in Iran’s oil construction projects are addressed and prioritized.

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A Hybrid Fuzzy TOPSIS – Best Worst Method for Risk Prioritization in Megaprojects

Cited by 25 publications

References 36 publications

A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment

A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment

An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety

Identifying and prioritizing delay factors in Iran’s oil construction projects

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