Grey Systems Theory in Business Management: Applying Multiple Criteria Decision-Making Methods
This book is dedicated to addressing the central challenge of making informed business decisions within an environment characterized by uncertainty, employing Multiple Criteria Decision-Making (MCDM) methodologies. Chapter 1 provides an overview of the related concepts of grey systems theory. Chapte...
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| Médium: | Online |
| Jazyk: | angličtina |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| On-line přístup: | https://library.oapen.org/handle/20.500.12657/98176 |
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| _version_ | 1869527858452365312 |
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| author | Esangbedo, Olabhele Moses Xue, Jianwu |
| author_browse | Esangbedo, Olabhele Moses Xue, Jianwu |
| author_facet | Esangbedo, Olabhele Moses Xue, Jianwu |
| author_sort | Esangbedo, Olabhele Moses |
| collection | Directory of Open Access Books |
| description | This book is dedicated to addressing the central challenge of making informed business decisions within an environment characterized by uncertainty, employing Multiple Criteria Decision-Making (MCDM) methodologies. Chapter 1 provides an overview of the related concepts of grey systems theory. Chapter 2 proposes evaluation criteria for five major themes, including human resource information systems and contractor selection problems. Chapters 3–6 present four improved grey hybrid weighting methods: the grey rank order centroid method, the grey regulatory focus theory method, the grey step-wise weight analysis ratio evaluation, and the grey point allocation weighting method. Chapters 7–10 introduce four improved hybrid grey evaluation methods: the grey weighted sum model, grey relational analysis, the grey regime method, and the grey integer linear programming method. Chapters 11 and 12 discuss additional grey decision-making methods, and conclusions are drawn along with future prospects. |
| format | Online |
| id | doab-20.500.12854ir-151313 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1513132025-07-21T15:44:29Z Grey Systems Theory in Business Management: Applying Multiple Criteria Decision-Making Methods Esangbedo, Olabhele Moses Xue, Jianwu grey system theory; MCDM; organizational reputation; contractor selection; business environment; compensation and benefit thema EDItEUR::K Economics, Finance, Business and Management thema EDItEUR::K Economics, Finance, Business and Management This book is dedicated to addressing the central challenge of making informed business decisions within an environment characterized by uncertainty, employing Multiple Criteria Decision-Making (MCDM) methodologies. Chapter 1 provides an overview of the related concepts of grey systems theory. Chapter 2 proposes evaluation criteria for five major themes, including human resource information systems and contractor selection problems. Chapters 3–6 present four improved grey hybrid weighting methods: the grey rank order centroid method, the grey regulatory focus theory method, the grey step-wise weight analysis ratio evaluation, and the grey point allocation weighting method. Chapters 7–10 introduce four improved hybrid grey evaluation methods: the grey weighted sum model, grey relational analysis, the grey regime method, and the grey integer linear programming method. Chapters 11 and 12 discuss additional grey decision-making methods, and conclusions are drawn along with future prospects. 2025-02-16T08:36:00Z 2025-02-16T08:36:00Z 2025-02-04T09:11:10Z 2025 book https://library.oapen.org/handle/20.500.12657/98176 9783036596556 https://directory.doabooks.org/handle/20.500.12854/151313 eng open access image/jpeg Attribution-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/98176/1/Grey_Systems_Theory_in_Business_Management.pdf MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9654-9 10.3390/books978-3-0365-9654-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036596556 304 Basel open access |
| spellingShingle | grey system theory; MCDM; organizational reputation; contractor selection; business environment; compensation and benefit thema EDItEUR::K Economics, Finance, Business and Management thema EDItEUR::K Economics, Finance, Business and Management Esangbedo, Olabhele Moses Xue, Jianwu Grey Systems Theory in Business Management: Applying Multiple Criteria Decision-Making Methods |
| title | Grey Systems Theory in Business Management: Applying Multiple Criteria Decision-Making Methods |
| title_full | Grey Systems Theory in Business Management: Applying Multiple Criteria Decision-Making Methods |
| title_fullStr | Grey Systems Theory in Business Management: Applying Multiple Criteria Decision-Making Methods |
| title_full_unstemmed | Grey Systems Theory in Business Management: Applying Multiple Criteria Decision-Making Methods |
| title_short | Grey Systems Theory in Business Management: Applying Multiple Criteria Decision-Making Methods |
| title_sort | grey systems theory in business management applying multiple criteria decision making methods |
| topic | grey system theory; MCDM; organizational reputation; contractor selection; business environment; compensation and benefit thema EDItEUR::K Economics, Finance, Business and Management thema EDItEUR::K Economics, Finance, Business and Management |
| topic_facet | grey system theory; MCDM; organizational reputation; contractor selection; business environment; compensation and benefit thema EDItEUR::K Economics, Finance, Business and Management thema EDItEUR::K Economics, Finance, Business and Management |
| url | https://library.oapen.org/handle/20.500.12657/98176 |
| work_keys_str_mv | AT esangbedoolabhelemoses greysystemstheoryinbusinessmanagementapplyingmultiplecriteriadecisionmakingmethods AT xuejianwu greysystemstheoryinbusinessmanagementapplyingmultiplecriteriadecisionmakingmethods |