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Erschienen in:
Cluster Validation Analysis on Attribute Relative of Soft-Set Theory Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

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

verfasst von : Nurnadiah Zamri, Fadhilah Ahmad, Ahmad Nazari Mohd Rose, Mokhairi Makhtar

Erschienen in: Recent Advances on Soft Computing and Data Mining

Verlag: Springer International Publishing

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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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Metadaten
Titel
A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site
verfasst von
Nurnadiah Zamri
Fadhilah Ahmad
Ahmad Nazari Mohd Rose
Mokhairi Makhtar
Copyright-Jahr
2017
Buch
Recent Advances on Soft Computing and Data Mining

Print ISBN: 978-3-319-51279-2

Electronic ISBN: 978-3-319-51281-5

Copyright-Jahr: 2017

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