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

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.

[1]  Samarjit Kar,et al.  Evaluation and selection of third party logistics provider under sustainability perspectives: an interval valued fuzzy-rough approach , 2019, Annals of Operations Research.

[2]  Jianqiang Wang,et al.  An extended MABAC method for multi-criteria group decision-making problems based on correlative inputs of intuitionistic fuzzy information , 2019, Comput. Appl. Math..

[3]  Sarfaraz Hashemkhani Zolfani,et al.  Glasshouse locating based on SWARA-COPRAS approach , 2015 .

[4]  Nasibeh Azadeh-Fard,et al.  Risk assessment of occupational injuries using Accident Severity Grade , 2015 .

[5]  Prasenjit Chatterjee,et al.  Development of a decision support framework for sustainable freight transport system evaluation using rough numbers , 2019, Int. J. Prod. Res..

[6]  Witold Pedrycz,et al.  A normal wiggly hesitant fuzzy linguistic projection‐based multiattributive border approximation area comparison method , 2020, Int. J. Intell. Syst..

[7]  Sylvie Nadeau,et al.  Proposal of a risk-factor-based analytical approach for integrating occupational health and safety into project risk evaluation. , 2012, Accident; analysis and prevention.

[8]  Xiao Yin,et al.  Study on risk assessment of pharmaceutical distribution supply chain with bipolar fuzzy information , 2019, J. Intell. Fuzzy Syst..

[9]  Guiwu Wei,et al.  MADM Method With Interval-Valued Bipolar Uncertain Linguistic Information for Evaluating the Computer Network Security , 2019, IEEE Access.

[10]  Akbar Esfahanipour,et al.  Human health and safety risks management in underground coal mines using fuzzy TOPSIS. , 2014, The Science of the total environment.

[11]  A. Petrillo,et al.  Occupational health and safety in construction industry in Pakistan using modified-SIRA method , 2019, Safety Science.

[12]  Ali Hakimelahi,et al.  Identification and prioritization of passive energy consumption optimization measures in the building industry: An Iranian case study , 2020 .

[13]  Sanjin Milinković,et al.  Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC , 2018, Decision Making: Applications in Management and Engineering.

[14]  Lulu Zhang,et al.  YinYang bipolar logic and bipolar fuzzy logic , 2004, Inf. Sci..

[15]  Dragan Pamučar,et al.  Selection of a location for the development of multimodal logistics center: Application of single-valued neutrosophic MABAC model , 2019, Operational Research in Engineering Sciences: Theory and Applications.

[16]  Dragisa Stanujkic,et al.  A framework for the Selection of a packaging design based on the SWARA method , 2015 .

[17]  Hu-Chen Liu,et al.  An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment , 2017, International Journal of Production Economics.

[18]  I. Kaya,et al.  A fuzzy-based risk assessment model for evaluations of hazards with a real-case study , 2020, Human and Ecological Risk Assessment: An International Journal.

[19]  Subham Agarwal,et al.  Non-traditional machining processes selection and evaluation: A rough multi-attributive border approximation area comparison approach , 2020, Comput. Ind. Eng..

[20]  Muhammad Akram,et al.  Bipolar fuzzy TOPSIS and bipolar fuzzy ELECTRE-I methods to diagnosis , 2019, Computational and Applied Mathematics.

[21]  Dragisa Stanujkic,et al.  The Framework for the Selection of Personnel Based on the SWARA and ARAS Methods Under Uncertainties , 2016, Informatica.

[22]  Edmundas Kazimieras Zavadskas,et al.  Application of Fuzzy DEMATEL Method for Analyzing Occupational Risks on Construction Sites , 2017 .

[23]  Rıdvan Şahin,et al.  Decision making with MABAC method under probabilistic single-valued neutrosophic hesitant fuzzy environment , 2020, Journal of Ambient Intelligence and Humanized Computing.

[24]  Yun Xiong,et al.  Bipolar fuzzy Petri nets for knowledge representation and acquisition considering non-cooperative behaviors , 2020, Int. J. Mach. Learn. Cybern..

[25]  Hu-Chen Liu,et al.  An Extended Alternative Queuing Method with Linguistic Z-numbers and Its Application for Green Supplier Selection and Order Allocation , 2019, International Journal of Fuzzy Systems.

[26]  M. Gul,et al.  A comparative outline for quantifying risk ratings in occupational health and safety risk assessment , 2018, Journal of Cleaner Production.

[27]  Ali Fuat Guneri,et al.  Occupational health and safety risk assessment in hospitals: A case study using two-stage fuzzy multi-criteria approach , 2017 .

[28]  Fuad E. Alsaadi,et al.  MABAC method for multiple attribute group decision making under picture 2-tuple linguistic environment , 2019, Soft Computing.

[29]  Dragisa Stanujkic,et al.  An approach for hotel type selection based on the Single-Valued Intuitionistic Fuzzy Numbers , 2019, International Review.

[30]  The Maximum Prospective Utility Criterion, Utility Maximization in Capital Rationing Under Incomplete Information , 1980 .

[31]  Suleyman Mete,et al.  Risk assessment for clearing and grading process of a natural gas pipeline project: An extended TOPSIS model with Pythagorean fuzzy sets for prioritizing hazards , 2018, Human and Ecological Risk Assessment: An International Journal.

[32]  Muhammad Akram,et al.  A Novel Trapezoidal Bipolar Fuzzy TOPSIS Method for Group Decision-Making , 2018, Group Decision and Negotiation.

[33]  G. Emre Gürcanli,et al.  An occupational safety risk analysis method at construction sites using fuzzy sets , 2009 .

[34]  Hui Gao,et al.  Multiple Attribute Decision Making With Interval-Valued Bipolar Fuzzy Information and Their Application to Emerging Technology Commercialization Evaluation , 2018, IEEE Access.

[35]  S. Urošević,et al.  Multi-criteria ranking of workplaces from the aspect of risk assessment in the production processes in which women are employed , 2019, Safety Science.

[36]  Suleyman Mete,et al.  Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment , 2019, Human and Ecological Risk Assessment: An International Journal.

[37]  Muhammad Riaz,et al.  Multi-attribute group decision making based on cubic bipolar fuzzy information using averaging aggregation operators , 2019, J. Intell. Fuzzy Syst..

[38]  Yang Sui,et al.  A novel approach for occupational health and safety and environment risk assessment for nuclear power plant construction project , 2020 .

[39]  Mostafa Zandieh,et al.  Analyzing the development of the third-generation biodiesel production from microalgae by a novel hybrid decision-making method: The case of Iran , 2020 .

[40]  Fuad E. Alsaadi,et al.  Bipolar Fuzzy Hamacher Aggregation Operators in Multiple Attribute Decision Making , 2017, International Journal of Fuzzy Systems.

[41]  Dragisa Stanujkic,et al.  A Bipolar Fuzzy Extension of the MULTIMOORA Method , 2019 .

[42]  Erkan Celik,et al.  Fuzzy rule-based Fine–Kinney risk assessment approach for rail transportation systems , 2018 .

[43]  Erkan Celik,et al.  Assessment of occupational hazards and associated risks in fuzzy environment: A case study of a university chemical laboratory , 2017 .

[44]  Selcuk Cebi,et al.  A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system , 2018 .

[45]  Dragan Pamucar,et al.  The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC) , 2015, Expert Syst. Appl..

[46]  Muhammet Gul,et al.  A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions , 2018 .

[47]  F. Smarandache,et al.  THE USE OF THE PIVOT PAIRWISE RELATIVE CRITERIA IMPORTANCE ASSESSMENT METHOD FOR DETERMINING THE WEIGHTS OF CRITERIA , 2018 .

[48]  Chaozhong Wu,et al.  Safety and Health Perceptions in Work-related Transport Activities in Ghanaian Industries , 2017, Safety and health at work.

[49]  Hao-Tien Liu,et al.  A fuzzy risk assessment approach for occupational hazards in the construction industry , 2012 .

[50]  Almerindo D. Ferreira,et al.  Solar energy industry workers under climate change: A risk assessment of the level of heat stress experienced by a worker based on measured data , 2019, Safety Science.

[51]  Yongbo Li,et al.  Risks assessment in thermal power plants using ISM methodology , 2019, Ann. Oper. Res..

[52]  Samuel Yousefi,et al.  A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis. , 2019, Journal of safety research.

[53]  Maamar Bettayeb,et al.  Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method , 2020 .

[54]  Peide Liu,et al.  An approach based on linguistic spherical fuzzy sets for public evaluation of shared bicycles in China , 2020, Eng. Appl. Artif. Intell..