A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making
Multiattribute decision-making is an important part of decision-making theory and modern scientific decision-making. It is widely used in engineering design, economic management, and so on. It is an important part of modern decision science to sort decision objects when considering multiple attribut...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/7679851 |
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| author | Xin Wang Lei Zhang |
| author_facet | Xin Wang Lei Zhang |
| author_sort | Xin Wang |
| collection | DOAJ |
| description | Multiattribute decision-making is an important part of decision-making theory and modern scientific decision-making. It is widely used in engineering design, economic management, and so on. It is an important part of modern decision science to sort decision objects when considering multiple attributes. Due to time pressure and lack of understanding of decision-making problems, it is difficult for decision makers to accurately express judgment information. Decision-makers’ judgment information is more suitable to be expressed by intuitionistic fuzzy sets rather than deterministic numbers or linguistic variables. In the multiattribute decision-making problem, the size of attribute weight reflects the relative importance of each attribute. The research on attribute weight determination method is one of the core problems of multiattribute decision-making. Whether it is the subjective weighting method, the objective weighting method, or the combined weighting method, the research mainly focuses on deterministic multiattribute decision-making, mostly transforming fuzzy information into deterministic information for decision-making, which will lose a lot of information. Due to the differences of objective information data, a combined weighting method in different cases was proposed in this study. The original weight information and the prior information of standardized evaluation can be fully utilized in this model. The results indicate that when decision makers have preferences for different weighting methods, the combined weighting method can be determined according to the preference information of decision makers. |
| format | Article |
| id | doaj-art-60f28a4033764dcab34f3b29199f201e |
| institution | Kabale University |
| issn | 1687-8442 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-60f28a4033764dcab34f3b29199f201e2025-02-03T06:01:52ZengWileyAdvances in Materials Science and Engineering1687-84422022-01-01202210.1155/2022/7679851A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-MakingXin Wang0Lei Zhang1Kewen CollegeSchool of Economics and ManagementMultiattribute decision-making is an important part of decision-making theory and modern scientific decision-making. It is widely used in engineering design, economic management, and so on. It is an important part of modern decision science to sort decision objects when considering multiple attributes. Due to time pressure and lack of understanding of decision-making problems, it is difficult for decision makers to accurately express judgment information. Decision-makers’ judgment information is more suitable to be expressed by intuitionistic fuzzy sets rather than deterministic numbers or linguistic variables. In the multiattribute decision-making problem, the size of attribute weight reflects the relative importance of each attribute. The research on attribute weight determination method is one of the core problems of multiattribute decision-making. Whether it is the subjective weighting method, the objective weighting method, or the combined weighting method, the research mainly focuses on deterministic multiattribute decision-making, mostly transforming fuzzy information into deterministic information for decision-making, which will lose a lot of information. Due to the differences of objective information data, a combined weighting method in different cases was proposed in this study. The original weight information and the prior information of standardized evaluation can be fully utilized in this model. The results indicate that when decision makers have preferences for different weighting methods, the combined weighting method can be determined according to the preference information of decision makers.http://dx.doi.org/10.1155/2022/7679851 |
| spellingShingle | Xin Wang Lei Zhang A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making Advances in Materials Science and Engineering |
| title | A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making |
| title_full | A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making |
| title_fullStr | A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making |
| title_full_unstemmed | A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making |
| title_short | A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making |
| title_sort | combined weighting model based on maximizing deviation for multiple attribute decision making |
| url | http://dx.doi.org/10.1155/2022/7679851 |
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