| _version_ |
1860797837443334144
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2024-08-27 10:58:18
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| format |
Restricted Document
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| id |
14329
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| institution |
UniSZA
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| originalfilename |
3334-01-FH05-FIK-17-07718.pdf
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Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) AppleWebKit/537.36 (KHTML
like Gecko) Chrome/95.0.4638.69 Safari/537.36
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=14329
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| spelling |
14329 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=14329 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Book Chapter application/pdf 2 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) AppleWebKit/537.36 (KHTML like Gecko) Chrome/95.0.4638.69 Safari/537.36 2024-08-27 10:58:18 3334-01-FH05-FIK-17-07718.pdf UniSZA Private Access A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site 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. Springer International Publishing AG Springer International Publishing AG 41-50 Recent Advances on Soft Computing and Data Mining
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| spellingShingle |
A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site
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| summary |
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.
|
| title |
A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site
|
| title_full |
A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site
|
| title_fullStr |
A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site
|
| title_full_unstemmed |
A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site
|
| title_short |
A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site
|
| title_sort |
fuzzy topsis with z-numbers approach for evaluation on accident at the construction site
|