A Fuzzy Group Decision-making Model for Determining the Most Influential Persons in the Sustainable Prevention of Accidents in the Construction SMEs
AbstractSafety in the sustainable construction is a game with uncertain reality, with human’s life. Managers in power, involved in the construction project life cycle, create rules for the game and are the main players. The project’s success can be perceived differently by stakeholders. A company’s competitiveness, successful implementation of the projects and effective safety management depends on the strategic allocation of its human resources in order to select a proper project team in alignment with employee capabilities. This requires detailed factors reflecting their role (in line with their interests and attitudes) and knowing which of them has a decisive influence on the successful implementation of the project. The real data describing key factors in this concept can be provided as uncertain conditions. This work presents a novel integrated modified fuzzy group decision-making approach to select and rank the most influential persons ensuring the sustainable prevention of accidents at work in the small and medium-sized construction enterprises. This model includes the Delphi method and fuzzy extensions of Eckenrode’s criteria rating method. The proposed model could be expanded in order to select the most suitable individuals for sustainable management of safety and, moreover, for the effective implementation of safety and health measures.
 Barrett, M. (1914; . A comparison of the Order of Merit method and the method of Paired Comparisons. Psychological Review, 21(4), 278–294, 1914.
 Bartlett, C. J.; Heermann, E.; Rettig, S. (1960); A comparison of six different scaling techniques. The Journal of Social Psychology, 51(2), 343–348, 1960.
 Bejinariu, C.; Darabont, D. C.; Baciu, E. R.; Georgescu, I. S.; Bernevig-Sava, M. A.; Baciu, C. (2017); Considerations on Applying the Method for Assessing the Level of Safety at Work. Sustainability, 9(7), 1263, 2017.
 Bock, R.D.; Jones, L.V. (1963); The Measurement and Prediction of Judgemental Response: Statistical Methods. U. S. Army Test and Evaluation Command Project 7-S-0901-OIE. Psychometric Laboratory, University of North Carolina, 1963.
 Bonenberg, W.; Kaplinski, O. (2018); The Architect and the Paradigms of Sustainable Development: A Review of Dilemmas. Sustainability, 10(1), 100, 2018.
 Borg, G. (1970); Perceived exertion as an indicator of somatic stress. Scandinavian Journal of Rehabilitation Medicine, 2(2), 92–98, 1970.
 Buckley, J. J. (1984); The multiple judge, multiple criteria ranking problem: a fuzzy set approach. Fuzzy Sets Syst, 13, 25–37, 1984.
 Buel, W.D. (1960); A simplification of Hay's method of recording paired comparisons. Journal of Applied Psychology, 44(5), 347–348, 1960.
 Chatterjee, K.; Pamucar, D.; Zavadskas, E. K. (2018); Evaluating the performance of suppliers based on using the R'AMATEL-MAIRCA method for green supply chain implementation in electronics industry Journal of Cleaner Production, 184, 101–129, 2018.
 Churchman, C. W.; Ackoff, R.L.; Arnoff, E.L. (1957); Introduction to Operations Research. New York: Wiley. 1957.
 Debnath, J.; Biswas, A.; Sivan, P.; Sen, K.N.; Sahu, S. (2016); Fuzzy inference model for assessing occupational risks in construction sites, International Journal of Industrial Ergonomics, 55, 114–128, 2016.
 Delbecq, A.L.; VandeVen, A.H. (1971); A Group Process Model for Problem Identification and Program Planning. Journal of Applied Behavioral Science, 7, 466–491, 1971.
 Dubois, D.; Prade, H. (1978); Operations on fuzzy numbers. International Journal of Systems Science, 9(6), 613–626, 1978.
 Dzitac, I.; Filip, F.G.; Manolescu, M.J.(2017); Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lotfi A. Zadeh, International Journal of Computers Communications & Control, 12(6), 748-789, 2017.
 Eckenrode, R.T. (1965); Weighting multiple criteria. Management Science, 12(3), 180–192, 1965.
 Eizenberg, E.; Jabareen, Y. (2017); Social sustainability: A new conceptual framework. Sustainability, 9(1), 68, 2017.
 Finkbeiner, M.; Schau, E. M.; Lehmann, A.; Traverso, M. (2010); Towards life cycle sustainability assessment. Sustainability, 2, 3309–3322, 2010.
 Gerbec, M. (2017); Safety change management–A new method for integrated management of organizational and technical changes, Safety Science, 100, 225–234, 2017.
 Ghassemi, A.; Darvishpour, A. (2018); A novel approach for risk evaluation and risk response planning in a geothermal drilling project using DEMATEL and fuzzy ANP. Decision Science Letters, 7(3), 225–242, 2018.
 Ginevicius, R. (2011); A new determining method for the criteria weights in multicriteria evaluation, International Journal of Information Technology & Decision Making, 10(6), 1067–1095, 2011.
 Grassi, A.; Gamberini, R.; Mora, C.; Rimini, B. (2009); A fuzzy multi-attribute model for risk evaluation in workplaces. Safety Science, 47(5), 707–716, 2009.
 Hasle, P.; Kines, P.; Andersen, L.P. (2009); Small enterprise owners' accident causation, attribution and prevention. Safety Science, 47(1), 9–19, 2009.
 Hinze, J.; Thurman, S.; Wehle, A. (2013); Leading indicators of construction safety performance. Safety Science, 51(1), 23–28, 2013.
 Hoła, B.; Szóstak, M. (2017); The methodology of analysing the accident rate in the construction industry. In Procedia Engineering, Proceedings of Modern Building Materials, Structures and Techniques (MBMST) 2016, Vilnius, Lithuania; Juozapaitis A., Dani¯unas A., Zavadskas E. K., 172, 355–362, 2017.
 Idrees, M. D.; Hafeez, M.; Kim, J.Y. (2017); Workers' age and the impact of psychological factors on the perception of safety at construction sites, Sustainability, 9(5), 745, 2017.
 Jiang, W.; Zhao, X.; Ni, J. (2017); The impact of transformational leadership on employee sustainable performance: The mediating role of organizational citizenship behavior. Sustainability, 9(9), 1567, 2017.
 Keršuliene, V.; Zavadskas, E.K.; Turskis, Z. (2010); Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of business economics and management, 11(2), 243–258, 2010.
 Keshavarz Ghorabaee, M.; Zavadskas, E. K.; Olfat, L.; Turskis, Z. (2015); Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435–451, 2015.
 Keshavarz-Ghorabaee, M.; Amiri, M.; Zavadskas, E.K.; Turskis, Z.; Antucheviciene, J. (2018); An Extended Step-Wise Weight Assessment Ratio Analysis with Symmetric Interval Type-2 Fuzzy Sets for Determining the Subjective Weights of Criteria in Multi-Criteria Decision-Making Problems. Symmetry, 10, 91, 2018.
 Khasreen, M. M.; Banfill, P.F.; Menzies, G.F. (2009); Life-cycle assessment and the environmental impact of buildings: a review. Sustainability, 1(3), 674–701, 2009.
 Leberling, H. (1981); On finding compromise solution in multi-criteria problems using the fuzzy min-operator. Fuzzy Sets Syst, 6, 105–110, 1981.
 Leung, M.; Chan, I.Y.S.; Yu, J. (2012); Preventing construction worker injury incidents through the management of personal stress and organizational stressors. Accident Analysis and Prevention, 48, 156–166, 2012.
 Liao, P.C.; Liu, B.; Wang, Y.; Wang, X.; Ganbat, T. (2017); Work paradigm as a moderator between cognitive factors and behaviors–A comparison of mechanical and rebar workers. KSCE Journal of Civil Engineering, 21(7), 272814–2525, 2017.
 Likert, R. (1932); A technique for the measurement of attitudes. Archives of Psychology, 140(22), 1–55, 1932.
 Lingard, H.; Wakefield, R.; Cashin, P. (2011); The development and testing of a hierarchical measure of project OHS performance, Eng., Constr. Arch. Manage, 18(1), 30–49, 2011.
 Linstone, H.A.; Turoff, M. (2002); The Delphi Method: Techniques and Applications, Addison-Wesley Publishing Company: Advanced Book Program, Vol. 18, 2002.
 Liu, H. T.; Tsai, Y. L. (2012); A fuzzy risk assessment approach for occupational hazards in the construction industry, Safety Science, 50(4), 1067–1078, 2012.
 Liu, Y.J.; Chen, J.L.; Cheng, S.Y.; Hsu, M.T.; Wang, C.H. (2014); Evaluation of safety performance in process industries. Process Safety Progress, 33(2), 166–171, 2014.
 Maliene, V.; Dixon-Gough, R.; Malys, N. (2018); Dispersion of relative importance values contributes to the ranking uncertainty: Sensitivity analysis of Multiple Criteria Decision- Making methods, Applied Soft Computing Journal, 67, 286–298, 2018.
 McSween, T.; Moran, D. J. (2017); Assessing and Preventing Serious Incidents with Behavioral Science: Enhancing Heinrich's Triangle for the 21st Century. Journal of Organizational Behavior Management, 37(3–4), 283–300, 2017.
 Morelli, J. (2011); Environmental Sustainability: A Definition for Environmental Professionals. Journal of Environmental Sustainability, 1(1), 2, 2011.
 Moura, R.; Beer, M.; Patelli, E.; Lewis, J.; Knoll, F. (2017); Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies, Safety Science, 99, 196–214, 2017.
 Nakhaei, J.; Bitarafan, M.; Lale Arefi, S.; Kaplinski, O. (2016); Model for rapid assessment of vulnerability of office buildings to blast using SWARA and SMART methods (a case study of Swiss Re Tower). Journal of Civil Engineering and Management, 22(6), 831–843, 2016.
 Papazoglou, I.A.; Aneziris, O.N.; Bellamy, L.J.; Ale, B.J.M.; Oh, J. (2017); Multi-hazard multi-person quantitative occupational risk model and risk management, Reliability Engineering & System Safety, 167, 310–326, 2017.
 Pasman, H.J.; Rogers, W.J.; Mannan, M.S. (2017); Risk assessment: What is it worth? Shall we just do away with it, or can it do a better job? Safety Science, 99, 140–155, 2017.
 Peldschus, F.; Zavadskas, E. K.; Turskis, Z.; Tamosaitiene, J. (2010); Sustainable assessment of construction site by applying game theory. Inzinerine Ekonomika-Engineering Economics, 21(3), 223–237, 2010.
 Ruzgys, A.; Volvaciovas, R.; Ignatavicius, C.; Turskis, Z. (2014); Integrated evaluation of external wall Insulation in residential buildings using SWARA-TODIM MCDM method. Journal of Civil Engineering and Management, 20(1), 103–110, 2014.
 Saaty, T. L. (1980); The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. New York: McGraw, 1980.
 Saaty, T. L. (1996); Decision Making with Dependence and Feedback: The Analytic Network Process, Pittsburgh, Pennsylvania: RWS Publications, 1996.
 Šaparauskas, J.; Zavadskas, E. K.; Turskis, Z. (2011); Selection of facade's alternatives of commercial and public buildings based on multiple criteria. International Journal of Strategic Property Management, 15(2), 189–203, 2011.
 Seker, S.; Zavadskas, E. K. (2017); Application of Fuzzy DEMATEL Method for analyzing occupational risks on construction sites, Sustainability, 9(11), 2083, 2017.
 Sinclair, R. C.; Cunningham, T.R.; Schulte, P. A. (2013); A model for occupational safety and health intervention diffusion to small businesses. Am. J. Ind. Med., 56(12), 1442–1451, 2013.
 Sinelnikov, S.; Inouye, J.; Kerper, S. (2015); Using leading indicators to measure occupational health and safety performance. Safety Science, 72, 240–248, 2015.
 Sivilevicius, H.; Zavadskas, E.K.; Turskis, Z. (2008); Quality attributes and complex assessment methodology of the asphalt mixing plant, Baltic Journal of Road & Bridge Engineering, 3(3), 161–166, 2008.
 Stankiuviene, A.; Cyras, P.; Vakriniene, S. (2008); Risk identification in technical regulation. The 7th International Conference Environmental Engineering, Selected Papers, ISBN, 978- 9955-28-256-3, Vilnius Gediminas Technical University Publishing House: Technika, 341– 349, 2008.
 Stoklasa, J., Talášek, T., Kubatova, J., Seitlova, K. (2017). Likert Scales in Group Multiplecriteria Evaluation. Journal of Multiple-Valued Logic & Soft Computing, 29(5), 425–440, 2017.
 Šukys, R.; Cyras, P.; Šak˙enait˙e, J. (2011); Economical loss due to non-compliance with requirements for personnel safety and health in Lithuanian construction sector, Journal of Civil Engineering and Management, 17(2), 168–176, 2011.
 Sun, M.; Zheng, Z.; Gang, L. (2018); Uncertainty Analysis of the Estimated Risk in Formal Safety Assessment, Sustainability, 10, 321, 2018.
 Tremblaya, A.; Badri, A. (2018); Assessment of occupational health and safety performance evaluation tools: State of the art and challenges for small and medium-sized enterprises, Safety Science, 101, 260–267, 2018.
 Turskis, Z.; Juodagalvien˙e, B. (2016); A novel hybrid multi-criteria decision-making model to assess a stairs shape for dwelling houses, Journal of Civil Engineering and Management, 22:8, 1078–1087, 2016.
 Turskis, Z.; Lazauskas, M.; Zavadskas, E. K. (2012); Fuzzy multiple criteria assessment of construction site alternatives for non-hazardous waste incineration plant in Vilnius city, applying ARAS-F and AHP methods, Journal of Environmental Engineering and Landscape Management, 20(2), 110–120, 2012.
 Van Laarhoven, P.J.M.; Pedrycz, W. (1983); A fuzzy extension of Saaty's priority theory, Fuzzy Sets and Systems, 11(1–3), 229–241, 1983.
 Velleman, P. F.; Wilkinson, L. (1993); Nominal, ordinal, interval, and ratio typologies are misleading, The American Statistician, 47(1), 65–72, 1993.
 Whinney, M. D. (1971); Christopher Wren, Praeger Publishers: New York, 1971.
 Yau, B. (2014); Occupational safety culture index e Measuring the community and employees awareness, attitude and knowledge towards workplace safety and health in Hong Kong [power point slides], XX World Congress on Safety and Health at Work 2014 e Global Forum for Prevention. Frankfurt (Germany), 2014.
 Yilmaz, F.; Alp, S. (2016); Underlying factors of occupational accidents: the case of Turkey, Open Journal of Safety Science and Technology, 6, 1–10, 2016.
 Yoon, K.; Hwang, C. (1995); Multiple Attribute Decision Making: An introduction; Sage Publications, London, 1995.
 Zadeh, L. A. (1965); Fuzzy sets. Inf Control, 8, 338–353, 1965.
 Zagorskas, J.; Zavadskas, E. K.; Turskis, Z.; Burinskien˙e, M.; Blumberga, A.; Blumberga, D. (2014); Thermal insulation alternatives of historic brick buildings in Baltic Sea Region. Energy and buildings , 78, 35–42, 2014.
 Zavadskas, E. K.; Antuchevicien˙e, J.; Šaparauskas, J.; Turskis, Z. (2013); MCDM methods WASPAS and MULTIMOORA: verification of robustness of methods when assessing alternative solutions, Economic Computation and Economic Cybernetics Studies and Research, 47(2), 5–20, 2013.
 Zavadskas, E. K.; Turskis, Z.; Volvaciovas, R.; Kildien˙e, S. (2013); Multi-criteria assessment model of technologies, Studies in Informatics and Control, 22(4), 249–258, 2013.
 Zavadskas, E. K.; Vilutien˙e, T. (2006); A multiple criteria evaluation of multi-family apartment block's maintenance contractors: I—Model for maintenance contractor evaluation and the determination of its selection criteria, Building and environment, 41(5), 621–632, 2006.
 Zavadskas, E. K.; Vilutien˙e, T.; Turskis, Z.; Šaparauskas, J. (2014); Multi-criteria analysis of Projects' performance in construction, Archives of Civil and Mechanical Engineering, 14(1), 114–121, 2014.
 Zavadskas, E.K.; Kaklauskas, A.; Turskis, Z.; Kalibatas, D. (2009); An approach to multiattribute assessment of indoor environment before and after refurbishment of dwellings, Journal of Environmental Engineering and Landscape Management, 17(1), 5–11, 2009.
 Zhou, Z.; Goh, Y.M.; Li, Q. (2015); Overview and analysis of safety management studies in the construction industry, Safety Science, 72, 337–350, 2015.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.