Skip to main content
Log in

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

  • Published:
Computational and Applied Mathematics Aims and scope Submit manuscript

Abstract

Occupational health and safety (OHS) is a systemic and multidisciplinary activity for anticipating, recognizing, evaluating and controlling the hazards that may impair the health of workers. Risk assessment of hazards plays a critical role in the OHS. However, due to the vagueness and uncertainty of information, it is difficult for experts to express their opinions with crisp numbers in the risk assessment process. In this paper, we present a new OHS model, which integrates bipolar fuzzy sets (BFSs) and multi-attributive border approximation area comparison (MABAC) method, for the risk assessment of occupational hazards. Specifically, the BFSs are utilized to deal with the vague and uncertain assessment information of hazards provided by experts and the MABAC method is used to determine the risk ranking of hazards. Moreover, we extend the stepwise weight assessment ratio analysis (SWARA) method with BFSs to obtain the weights of risk criteria. Finally, the occupational hazard risk assessment example on construction sites is conducted and a comparative analysis is performed to verify the effectiveness and availability of our proposed OHS model. The results show that the new integrated model provides a more effective and practical method for the risk prioritization of occupational hazards in OHS.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Akram M, Arshad M (2019) A novel trapezoidal bipolar fuzzy TOPSIS method for group decision-making. Group Decis Negot 28(3):565–584

    Google Scholar 

  • Akram M, Shumaiza A, Arshad M (2020) Bipolar fuzzy TOPSIS and bipolar fuzzy ELECTRE-I methods to diagnosis. Comput Appl Math 39(1):7

    MathSciNet  Google Scholar 

  • Atombo C, Wu C, Tettehfio EO, Nyamuame GY, Agbo AA (2017) Safety and health perceptions in work-related transport activities in Ghanaian industries. Saf Health Work 8(2):175–182

    Google Scholar 

  • Azadeh-Fard N, Schuh A, Rashedi E, Camelio JA (2015) Risk assessment of occupational injuries using Accident Severity Grade. Saf Sci 76:160–167

    Google Scholar 

  • Badri A, Nadeau S, Gbodossou A (2012) Proposal of a risk-factor-based analytical approach for integrating occupational health and safety into project risk evaluation. Accid Anal Prev 48:223–234

    Google Scholar 

  • Balali A, Hakimelahi A, Valipour A (2020) Identification and prioritization of passive energy consumption optimization measures in the building industry: an Iranian case study. J Build Eng 30:101239

    Google Scholar 

  • Chakraborty S, Dandge SS, Agarwal S (2020) Non-traditional machining processes selection and evaluation: a rough multi-attributive border approximation area comparison approach. Comput Ind Eng 139:106201

    Google Scholar 

  • Dabbagh R, Yousefi S (2019) A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis. J Saf Res 71:111–123

    Google Scholar 

  • Duan CY, Liu HC, Zhang LJ, Shi H (2019) An extended alternative queuing method with linguistic Z-numbers and its application for green supplier selection and order allocation. Int J Fuzzy Syst 21(8):2510–2523

    Google Scholar 

  • Gao H, Wu J, Wei C, Wei G (2019) MADM method with interval-valued bipolar uncertain linguistic information for evaluating the computer network security. IEEE Access 7:151506–151524

    Google Scholar 

  • Ghenai C, Albawab M, Bettayeb M (2020) Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method. Renew Energy 146:580–597

    Google Scholar 

  • Gul M (2018) A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions. Hum Ecol Risk Assess 24(7):1723–1760

    Google Scholar 

  • Gul M, Ak MF (2018) A comparative outline for quantifying risk ratings in occupational health and safety risk assessment. J Clean Prod 196:653–664

    Google Scholar 

  • Gul M, Celik E (2018) Fuzzy rule-based Fine-Kinney risk assessment approach for rail transportation systems. Hum Ecol Risk Assess 24(7):1786–1812

    Google Scholar 

  • Gul M, Ak MF, Guneri AF (2017) Occupational health and safety risk assessment in hospitals: a case study using two-stage fuzzy multi-criteria approach. Hum Ecol Risk Assess 23(2):187–202

    Google Scholar 

  • Gürcanli GE, Müngen U (2009) An occupational safety risk analysis method at construction sites using fuzzy sets. Int J Ind Ergon 39(2):371–387

    Google Scholar 

  • Haghnazar R, Zolfani S, Golabchi M (2015) Glasshouse locating based on SWARA-COPRAS approach. Int J Strateg Prop Manag 19:111–122

    Google Scholar 

  • Ilbahar E, Karaşan A, Cebi S, Kahraman C (2018) A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP fuzzy inference system. Saf Sci 103:124–136

    Google Scholar 

  • Karabasevic D, Zavadskas EK, Turskis Z, Stanujkic D (2016) The framework for the selection of personnel based on the SWARA and ARAS methods under uncertainties. Informatica 27(1):49–65

    Google Scholar 

  • Karabasevic D, Popovic G, Stanujkic D, Maksimovic M, Sava C (2019) An approach for hotel type selection based on the single-valued intuitionistic fuzzy numbers. Int Rev 1–2:7–14

    Google Scholar 

  • Khan MW, Ali Y, De Felice F, Petrillo A (2019) Occupational health and safety in construction industry in Pakistan using modified-SIRA method. Saf Sci 118:109–118

    Google Scholar 

  • Li Y, Sankaranarayanan B, Thresh Kumar D, Diabat A (2019) Risks assessment in thermal power plants using ISM methodology. Ann Oper Res 279(1–2):89–113

    Google Scholar 

  • Liang RX, He SS, Wang JQ, Chen K, Li L (2019) An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information. Comput Appl Math 38(3):112

    MathSciNet  MATH  Google Scholar 

  • Liu HT, Tsai YL (2012) A fuzzy risk assessment approach for occupational hazards in the construction industry. Saf Sci 50(4):1067–1078

    Google Scholar 

  • Liu HC, You JX, Duan CY (2019) An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment. Int J Prod Econ 207:163–172

    Google Scholar 

  • Liu P, Xu H, Pedrycz W (2020a) A normal wiggly hesitant fuzzy linguistic projection-based multiattributive border approximation area comparison method. Int J Intell Syst 35(3):432–469

    Google Scholar 

  • Liu P, Zhu B, Wang P, Shen M (2020b) An approach based on linguistic spherical fuzzy sets for public evaluation of shared bicycles in China. Eng Appl Artif Intell 87:103295

    Google Scholar 

  • Mahdevari S, Shahriar K, Esfahanipour A (2014) Human health and safety risks management in underground coal mines using fuzzy TOPSIS. Sci Total Environ 488–489:85–99

    Google Scholar 

  • Mete S (2019) Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment. Hum Ecol Risk Assess 25(7):1645–1660

    Google Scholar 

  • Naeini MA, Zandieh M, Najafi SE, Sajadi SM (2020) Analyzing the development of the third-generation biodiesel production from microalgae by a novel hybrid decision-making method: the case of Iran. Energy 195:116895

    Google Scholar 

  • Oz NE, Mete S, Serin F, Gul M (2019) Risk assessment for clearing and grading process of a natural gas pipeline project: an extended TOPSIS model with Pythagorean fuzzy sets for prioritizing hazards. Hum Ecol Risk Assesss 25(6):1615–1632

    Google Scholar 

  • Ozdemir Y, Gul M, Celik E (2017) Assessment of occupational hazards and associated risks in fuzzy environment: a case study of a university chemical laboratory. Hum Ecol Risk Assess 23(4):895–924

    Google Scholar 

  • Pamučar D, Božanić D (2019) Selection of a location for the development of multimodal logistics center: Application of single-valued neutrosophic MABAC model. Operat Res Eng Sci 2:55–71

    Google Scholar 

  • Pamučar D, Ćirović G (2015) The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Syst Appl 42(6):3016–3028

    Google Scholar 

  • Riaz M, Tehrim ST (2019) Multi-attribute group decision making based on cubic bipolar fuzzy information using averaging aggregation operators. J Intell Fuzzy Syst 37(2):2473–2494

    Google Scholar 

  • Roy J, Pamučar D, Kar S (2019) Evaluation and selection of third party logistics provider under sustainability perspectives: an interval valued fuzzy-rough approach. Ann Oper Res. https://doi.org/10.1007/s10479-019-03501-x

    Article  Google Scholar 

  • Şahin R, Altun F (2020) Decision making with MABAC method under probabilistic single-valued neutrosophic hesitant fuzzy environment. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-020-01699-4

    Article  Google Scholar 

  • Samaniego-Rascón D, Gameiro da Silva MC, Ferreira AD, Cabanillas-Lopez RE (2019) Solar energy industry workers under climate change: a risk assessment of the level of heat stress experienced by a worker based on measured data. Saf Sci 118:33–47

    Google Scholar 

  • Seker S, Zavadskas EK (2017) Application of fuzzy DEMATEL method for analyzing occupational risks on construction sites. Sustainability 9(11):2083

    Google Scholar 

  • Stanujkic D, Karabasevic D, Zavadskas EK (2015) A framework for the Selection of a packaging design based on the SWARA method. Eng Econ 26(2):181–817

    Google Scholar 

  • Stanujkic D, Zavadskas E, Karabasevic D, Smarandache F, Turskis Z (2017) The use of the pivot pairwise relative criteria importance assessment method for determining the weights of criteria. Rom J Econ Forecast 20:116–133

    Google Scholar 

  • Stanujkic D, Karabasevic D, Zavadskas EK, Smarandache F, Brauers WKM (2019) A bipolar fuzzy extension of the MULTIMOORA method. Informatica 30(1):135–152

    Google Scholar 

  • Stefanović V, Urošević S, Mladenović-Ranisavljević I, Stojilković P (2019) Multi-criteria ranking of workplaces from the aspect of risk assessment in the production processes in which women are employed. Saf Sci 116:116–126

    Google Scholar 

  • Sui Y, Ding R, Wang H (2020) A novel approach for occupational health and safety and environment risk assessment for nuclear power plant construction project. J Clean Prod 258:120945

    Google Scholar 

  • Tepe S, Kaya İ (2020) A fuzzy-based risk assessment model for evaluations of hazards with a real-case study. Hum Ecol Risk Assess 26(2):512–537

    Google Scholar 

  • Vesković S, Stević Ž, Stojić G, Vasiljević M, Milinkovic S (2018) Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decis Mak 1(2):34–50

    Google Scholar 

  • Wei G, Alsaadi FE, Hayat T, Alsaedi A (2018a) Bipolar fuzzy hamacher aggregation operators in multiple attribute decision making. Int J Fuzzy Syst 20(1):1–12

    MathSciNet  MATH  Google Scholar 

  • Wei G, Wei C, Gao H (2018b) Multiple attribute decision making with interval-valued bipolar fuzzy information and their application to emerging technology commercialization evaluation. IEEE Access 6:60930–60955

    Google Scholar 

  • Xu X-G, Xiong Y, Xu D-H, Liu H-C (2020) Bipolar fuzzy Petri nets for knowledge representation and acquisition considering non-cooperative behaviors. Int J Mach Learn Cybern 11:2297–2311

    Google Scholar 

  • Yazdani M, Pamucar D, Chatterjee P, Chakraborty S (2020) Development of a decision support framework for sustainable freight transport system evaluation using rough numbers. Int J Prod Res 58(14):4325-4351

    Google Scholar 

  • Zhang W-R, Zhang L (2004) YinYang bipolar logic and bipolar fuzzy logic. Inf Sci 165(3):265–287

    MATH  Google Scholar 

  • Zhang YX, Yin X, Mao ZF (2019) Study on risk assessment of pharmaceutical distribution supply chain with bipolar fuzzy information. J Intell Fuzzy Syst 37(2):2009–2017

    Google Scholar 

  • Zhang S, Wei G, Alsaadi FE, Hayat T, Wei C, Zhang Z (2020) MABAC method for multiple attribute group decision making under picture 2-tuple linguistic environment. Soft Comput 24(8):5819–5829

    Google Scholar 

Download references

Acknowledgements

The authors are very grateful to the respected editor and the anonymous referees for their insightful and constructive comments, which helped to improve the overall quality of the paper. This work was supported by the National Natural Science Foundation of China (Nos. 61773250 and 71671125) and the Program for Shanghai Youth Top-Notch Talent.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wanlong Lin.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Communicated by Marcos Eduardo Valle.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, R., Hou, LX., Liu, HC. et al. Occupational health and safety risk assessment using an integrated SWARA-MABAC model under bipolar fuzzy environment. Comp. Appl. Math. 39, 276 (2020). https://doi.org/10.1007/s40314-020-01311-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40314-020-01311-7

Keywords

Mathematics Subject Classification

Navigation