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A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site

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Recent Advances on Soft Computing and Data Mining (SCDM 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 549))

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Abstract

The construction industry has been identified as one of the most risky industries where involves fatalities accidents. Identifying the causes that lead to the accidents implicates a lot of uncertain and imprecise cases. Z-numbers involve more uncertainties than Fuzzy Sets (FSs). They provide us with additional degree of freedom to represent the uncertainty and fuzziness of the real situations. In this paper, we introduce a Fuzzy TOPSIS (FTOPSIS) with Z-numbers to handle uncertainty in the construction problems. Five criteria and six alternatives are used to evaluate the causes of workers’ accident at the construction sites. Data in form of linguistic variables were collected from three authorised personnel of three agencies. From the analysis, it shows that the FTOPSIS with Z-numbers provides us with an another useful way to handle Fuzzy Multi-Criteria Decision Making (FMCDM) problems in a more intelligent and flexible manner due to the fact that it uses Z-numbers with FTOPSIS.

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Authors and Affiliations

  1. Faculty of Infomatics and Computing, University Sultan Zainal Abidin, Tembila Campus, 22200, Besut, Terengganu, Malaysia

    Nurnadiah Zamri, Fadhilah Ahmad, Ahmad Nazari Mohd Rose & Mokhairi Makhtar

Authors
  1. Nurnadiah Zamri
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  2. Fadhilah Ahmad
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  3. Ahmad Nazari Mohd Rose
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  4. Mokhairi Makhtar
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Correspondence to Nurnadiah Zamri .

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Editors and Affiliations

  1. Department of Information System, University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Rozaida Ghazali

  3. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Nazri Mohd Nawi

  4. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Mustafa Mat Deris

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Zamri, N., Ahmad, F., Rose, A.N.M., Makhtar, M. (2017). A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site. In: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2016. Advances in Intelligent Systems and Computing, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-51281-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-51281-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51279-2

  • Online ISBN: 978-3-319-51281-5

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