Case study of selecting decision-making schemes in large-scale infrastructure projects

How to select decision-making schemes is a major concern in large-scale infrastructure projects. This paper proposes a new approach for this selection problem, which integrates collaborative information with individual information focusing on the linguistic variables of experts. It also applies an e...

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Main Authors: Liang, R., Dong, Z., Sheng, Z., Wang, Xiangyu, Wu, C.
Format: Journal Article
Published: American Society of Civil Engineers 2017
Online Access:http://hdl.handle.net/20.500.11937/53996
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author Liang, R.
Dong, Z.
Sheng, Z.
Wang, Xiangyu
Wu, C.
author_facet Liang, R.
Dong, Z.
Sheng, Z.
Wang, Xiangyu
Wu, C.
author_sort Liang, R.
building Curtin Institutional Repository
collection Online Access
description How to select decision-making schemes is a major concern in large-scale infrastructure projects. This paper proposes a new approach for this selection problem, which integrates collaborative information with individual information focusing on the linguistic variables of experts. It also applies an extended fuzzy technique to order preference by similarity to ideal solution (TOPSIS), to determine the fuzzy positive-ideal solution (FPIS) and the fuzzy negative-ideal solution (FNIS), and to rank the order of all alternative schemes through calculating the relative closeness of each alternative scheme to the FPIS and FNIS. A case study of Hong Kong-Zhuhai- Macao-Bridge (HZMB) project in China is used to demonstrate how to apply this approach and what its advantages are. Compared to the existing methods, this proposed method can produce reasonable solutions for real-world practice.
first_indexed 2025-11-14T09:57:20Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:57:20Z
publishDate 2017
publisher American Society of Civil Engineers
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spelling curtin-20.500.11937-539962017-09-21T05:29:36Z Case study of selecting decision-making schemes in large-scale infrastructure projects Liang, R. Dong, Z. Sheng, Z. Wang, Xiangyu Wu, C. How to select decision-making schemes is a major concern in large-scale infrastructure projects. This paper proposes a new approach for this selection problem, which integrates collaborative information with individual information focusing on the linguistic variables of experts. It also applies an extended fuzzy technique to order preference by similarity to ideal solution (TOPSIS), to determine the fuzzy positive-ideal solution (FPIS) and the fuzzy negative-ideal solution (FNIS), and to rank the order of all alternative schemes through calculating the relative closeness of each alternative scheme to the FPIS and FNIS. A case study of Hong Kong-Zhuhai- Macao-Bridge (HZMB) project in China is used to demonstrate how to apply this approach and what its advantages are. Compared to the existing methods, this proposed method can produce reasonable solutions for real-world practice. 2017 Journal Article http://hdl.handle.net/20.500.11937/53996 10.1061/(ASCE)IS.1943-555X.0000364 American Society of Civil Engineers restricted
spellingShingle Liang, R.
Dong, Z.
Sheng, Z.
Wang, Xiangyu
Wu, C.
Case study of selecting decision-making schemes in large-scale infrastructure projects
title Case study of selecting decision-making schemes in large-scale infrastructure projects
title_full Case study of selecting decision-making schemes in large-scale infrastructure projects
title_fullStr Case study of selecting decision-making schemes in large-scale infrastructure projects
title_full_unstemmed Case study of selecting decision-making schemes in large-scale infrastructure projects
title_short Case study of selecting decision-making schemes in large-scale infrastructure projects
title_sort case study of selecting decision-making schemes in large-scale infrastructure projects
url http://hdl.handle.net/20.500.11937/53996