Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment

Liu, Ran; Hou, Lin-Xiu; Liu, Hu‐Chen; Lin, Wanlong

doi:10.1007/s40314-020-01311-7

Cited by 34 publications

(13 citation statements)

References 53 publications

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“…In order for the alternative A i to be chosen as the best from the set, it is necessary for it to belong, by as many as possible criteria, to the upper approximate area ( ) [ 43 ]. The higher value indicates that the alternative is closer to the ideal alternative, while the lower value q indicates that the alternative is closer to the anti-ideal alternative [ 44 ].…”

Section: 1 Operations On Fuzzy Numbersmentioning

confidence: 99%

Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

Nedeljković

Puška²,

Doljanica

et al. 2021

PLoS ONE

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Decision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi-criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 – Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis—changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.

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Section: 1 Operations On Fuzzy Numbersmentioning

confidence: 99%

Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

Nedeljković

Puška²,

Doljanica

et al. 2021

PLoS ONE

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“…Khan et al proposed a model based on modified-SIRA and fuzzy TOPSIS methods for OHS risk assessment in the construction industry in Pakistan (Khan et al 2019). Liu et al used integrated SWARA-MABAC model under bipolar fuzzy environment for OHS risk assessment (Liu et al 2020). Gul and Ak proposed a new integrated approach using fuzzy BWM and fuzzy MAIRCA for occupational risk assessment (Gul and Ak 2020).…”

Section: Introductionmentioning

confidence: 99%

Assessment of occupational health and safety risks in a Turkish public hospital using a two-stage hesitant fuzzy linguistic approach

Boyacı

ŞİMŞEK>

2022

Environ Sci Pollut Res

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Occupational health and safety (OHS) risk assessment studies have gained importance recently as a result of increasing occupational accidents and occupational diseases. The health sector has a greater risk than many sectors for occupational accidents and occupational diseases. Although the health sector is one of the priority sectors in Turkey, OHS practices have not been fully implemented in this field. For this reason, this study adopts a two-stage approach to assess the OHS risks in the health sector by combining the Fine-Kinney and multi-criteria hesitant fuzzy linguistic term set (HFLTS) methods. The proposed method was applied to the OHS risks in the operating room of a public hospital in Turkey. As a solution to the problem, first, the potential hazards and related risks in the operating room were determined by the experts. In this first stage, 44 hazards were determined from the opinions of experts and records of past incidents. Parameter weights were then determined using the multi-criteria HFLTS method. The multi-criteria HFLTS method was used to evaluate seven hazards to be categorized as substantial-risk or higher according to the Fine-Kinney method, taking into account parameter weights. Sensitivity analysis was then carried out. Finally, actions were taken to mitigate the risks.

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“…Jokić et al [ 20 ] used a Level Based Weight Assessment (LBWA)-Fuzzy Multi-Attributive Border Approximation area Comparison (MABAC) method for the selection of appropriate firing positions for the mortars used by the military artillery unit. Liu et al [ 21 ] used an integrated Stepwise Weight Assessment Ratio Analysis (SWARA)- MABAC method to assess occupational health and safety risk. Hou et al [ 22 ] analyzed the safety risks in the metro construction under epistemic uncertainty, using credal networks and the Evaluation Based on Distance from Average Solution (EDAS) method.…”

Section: Introductionmentioning

confidence: 99%

Evaluating factors contributing to the failure of information system in the banking industry

et al. 2022

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The increasing use of Information Technology (IT) has led to many security and other related failures in the banks and other financial institutions in Bangladesh. In this paper, we investigated the factors contributing to the failurein the IT system of the banking industry in Bangladesh. Based on the experts’ opinions and weight on the specified evaluating criteria, an empirical test was conducted using a rough set theory to produce a framework for the IT system failure factors. In this study, an extended approach involving the integration of rough set theory based flexible Failure Mode and Effect Analysis (FMEA) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) has beenapplied to help the managers of the corresponding field to identify the factors responsible for the failure of the IT system in the banking industries and then prioritize them accordingly, for the ease of decision-making.In this research, eleven such failure factors were identified, which were then quantitatively analyzed to facilitate managers in crucial decision-making. It was observed that cyber-attack, database hack risks, server failure, network interruption, broadcast data error, and virus effect were the most significant factors for the failure of the IT system. The framework developed in this research can be utilized to assist in efficient decision-makingin other serviceindustries where IT systems play a key role. To the best of the knowledge, this is the first study thatempirically tested key failure factors of the IT system for the banking sector using an integrated method.

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Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment

Cited by 34 publications

References 53 publications

Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

Assessment of occupational health and safety risks in a Turkish public hospital using a two-stage hesitant fuzzy linguistic approach

Evaluating factors contributing to the failure of information system in the banking industry

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