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Assessment of Occupational Risks in Construction Sites Using Interval Type-2 Fuzzy Analytic Hierarchy Process

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Book cover Industry Interactive Innovations in Science, Engineering and Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 11))

Abstract

This paper describes a method for assessing risk of the workers at construction sites using interval type-2 fuzzy analytic hierarchy process. Historical accident data, subjective judgments by the experts and relative importance of the risk factors are combined together to determine the current risk level of construction sites. The linguistic terms associated with the model are represented by interval type-2 trapezoidal fuzzy numbers. The proposed method can identify the risk factors which are most important in improving worker safety and, therefore, determines the areas on which the management should emphasize in order to improve the safety of the workers. The application potentiality of this model has been demonstrated by a case example of risk analysis of a construction industry.

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References

  1. Pinto, A., Nunes, I.L., Ribeiro, R.A.: Occupational risk assessment in construction industry—overview and reflection. Saf. Sci. 49, 616–624 (2011)

    Article  Google Scholar 

  2. Beriha, G.S., Patnaik, B., Mahapatra, S.S., Padhee, S.: Assessment of safety performances in Indian industries using fuzzy approach. Experts Syst. Appl. 39, 3311–3323 (2012)

    Article  Google Scholar 

  3. Thomas, A.V., Kalidindi, S.N., Ganesh, L.S.: Modelling and assessment of critical risks in BOT road projects. Constr. Manag. Econ. 24, 407–424 (2006)

    Article  Google Scholar 

  4. Saaty, T.L., Vargas, L.G.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  5. Majumder, D., Debnath, J., Biswas, A.: Risk analysis in construction sites using fuzzy reasoning and fuzzy analytic hierarchy process. Proc. Technol. 10, 604–614 (2013)

    Article  Google Scholar 

  6. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

    Article  MATH  Google Scholar 

  7. Mendel, J.M.: Uncertain Rule-Based fuzzy Logic Systems: Introduction and New Directions. Prentice-Hall, Upper Saddle River, NJ (2001)

    MATH  Google Scholar 

  8. Mendel, J.M., John, R.I., Liu, F.L.: Interval type-2 fuzzy logical systems made simple. IEEE Trans. Fuzzy Syst. 14, 808–821 (2006)

    Article  Google Scholar 

  9. Abdullah, L., Najib, L.: A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process. Experts Syst. Appl. 41, 3297–3305 (2014)

    Article  Google Scholar 

  10. Mou, Q.: Method of Multi-Attribute Decision-Making and Its Application. Guangxi University, Nanning (2004)

    Google Scholar 

  11. Wang, W., Liu, X., Qin, Y.: Multi-attribute group decision making models under interval type-2 fuzzy environment. Knowl.-Based Syst. 30, 121–128 (2012)

    Article  Google Scholar 

  12. Jhon, R.I.: An appraisal of theory and applications. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6, 563–576 (1998)

    Article  Google Scholar 

  13. Lee, L.W., Chen, S.M.: A new method for fuzzy multiple attributes group decision-making based on the arithmetic operations of interval type-2 fuzzy sets. In: Proceedings of the 2008 International Conference on Machine Learning and Cybernetics, China, Kunming, pp. 3084–3089 (2008)

    Google Scholar 

  14. Chen, S.M., Lee, L.W.: Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method. Experts Syst. Appl. 37, 2790–2798 (2010)

    Article  Google Scholar 

  15. Kahraman, C., Oztaysi, B., Sari, I.U., Turanoglu, E.: Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowl. Based Syst. 59, 48–57 (2014)

    Article  Google Scholar 

  16. Ross, T.J.: Fuzzy Logic with Engineering Applications. McGraw-Hill, New York (1995)

    Google Scholar 

Download references

Acknowledgements

The authors are thankful to the anonymous reviewers for their comments and suggestions to improve the quality of the paper. The authors express their humble gratitude to Mr. Krishna Nirmalya Sen, President, American Society of Safety Engineers, India Chapter, for his expert opinion and kind cooperation in the process of execution of the developed model. This work is partially supported by DST-PURSE Programme of University of Kalyani, Kalyani, India.

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Correspondence to Animesh Biswas .

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Debnath, J., Biswas, A. (2018). Assessment of Occupational Risks in Construction Sites Using Interval Type-2 Fuzzy Analytic Hierarchy Process. In: Bhattacharyya, S., Sen, S., Dutta, M., Biswas, P., Chattopadhyay, H. (eds) Industry Interactive Innovations in Science, Engineering and Technology . Lecture Notes in Networks and Systems, vol 11. Springer, Singapore. https://doi.org/10.1007/978-981-10-3953-9_28

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  • DOI: https://doi.org/10.1007/978-981-10-3953-9_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3952-2

  • Online ISBN: 978-981-10-3953-9

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