The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project
This paper focuses on a three-dimensional portfolio balanced risk index model for large-scale infrastructure project risk evaluation as a hot topic of current research. Taking subjectivity utility and complex evaluation motivation into consideration, a method of combinational equilibrium evaluation...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/5174613 |
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| _version_ | 1850163532924977152 |
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| author | Wu Gao Kairong Hong |
| author_facet | Wu Gao Kairong Hong |
| author_sort | Wu Gao |
| collection | DOAJ |
| description | This paper focuses on a three-dimensional portfolio balanced risk index model for large-scale infrastructure project risk evaluation as a hot topic of current research. Taking subjectivity utility and complex evaluation motivation into consideration, a method of combinational equilibrium evaluation is built using the index form to reflect whole loss changes of risk. For risk index evaluation and measurement issues, this paper first constructs a risk evaluation index system and three risk coefficients of single factor by questionnaire survey and fuzzy evaluation. Then we calculate the risk index of single factor, which arrives at the classification and combination risk index through AHP method. Finally, we verify the index validity by analysis of examples. With this research we expand the evaluation dimension and provide a new analytical tool for risk monitoring and warning. |
| format | Article |
| id | doaj-art-e80d59d4c1be4298b71fe58094f2d982 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e80d59d4c1be4298b71fe58094f2d9822025-08-20T02:22:15ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/51746135174613The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure ProjectWu Gao0Kairong Hong1Business School, Central South University, Changsha 410083, ChinaBusiness School, Central South University, Changsha 410083, ChinaThis paper focuses on a three-dimensional portfolio balanced risk index model for large-scale infrastructure project risk evaluation as a hot topic of current research. Taking subjectivity utility and complex evaluation motivation into consideration, a method of combinational equilibrium evaluation is built using the index form to reflect whole loss changes of risk. For risk index evaluation and measurement issues, this paper first constructs a risk evaluation index system and three risk coefficients of single factor by questionnaire survey and fuzzy evaluation. Then we calculate the risk index of single factor, which arrives at the classification and combination risk index through AHP method. Finally, we verify the index validity by analysis of examples. With this research we expand the evaluation dimension and provide a new analytical tool for risk monitoring and warning.http://dx.doi.org/10.1155/2017/5174613 |
| spellingShingle | Wu Gao Kairong Hong The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project Complexity |
| title | The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project |
| title_full | The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project |
| title_fullStr | The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project |
| title_full_unstemmed | The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project |
| title_short | The Portfolio Balanced Risk Index Model and Analysis of Examples of Large-Scale Infrastructure Project |
| title_sort | portfolio balanced risk index model and analysis of examples of large scale infrastructure project |
| url | http://dx.doi.org/10.1155/2017/5174613 |
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