Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative Influences
Decision-making trial and evaluation laboratory (DEMATEL) is a widely accepted factor analysis algorithm for complex systems. The rationality of the evaluation scale is the basis of sound DEMATEL decision-making. Unfortunately, the existing evaluation scales of DEMATEL failed to reasonably distingui...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/4839079 |
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| _version_ | 1832561552584081408 |
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| author | Yonghe Sun Siyu Zhang Zihang Huang Bin Miao |
| author_facet | Yonghe Sun Siyu Zhang Zihang Huang Bin Miao |
| author_sort | Yonghe Sun |
| collection | DOAJ |
| description | Decision-making trial and evaluation laboratory (DEMATEL) is a widely accepted factor analysis algorithm for complex systems. The rationality of the evaluation scale is the basis of sound DEMATEL decision-making. Unfortunately, the existing evaluation scales of DEMATEL failed to reasonably distinguish and describe the positive and negative influences between factors. Generally, the positive and negative influences between factors should be considered at the same time. In other words, negative influence between factors should not be directly ignored, which is improper and unrealistic. To better address this issue, we extend the evaluation scale of DEMATEL. We also integrate the scale-based group DEMATEL method with probabilistic linguistic term sets (PLTSs) to increase its effectiveness, which allows experts to express incomplete and uncertain linguistic preferences in DEMATEL decision-making. An experts’ subjective weight adjustment method based on the similarity degree between PLTSs is introduced to determine experts’ weights. Finally, an algorithm of probabilistic linguistic-based group DEMATEL method with both positive and negative influences is summarized, and an example is used to illustrate the proposed method and demonstrate its superiority. Our results demonstrate that the method proposed in this paper deals reasonably with realistic problems. |
| format | Article |
| id | doaj-art-27823c1e5c554a7b87c2abc027944928 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-27823c1e5c554a7b87c2abc0279449282025-02-03T01:24:47ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/48390794839079Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative InfluencesYonghe Sun0Siyu Zhang1Zihang Huang2Bin Miao3Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan 650093, ChinaFaculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan 650093, ChinaFaculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan 650093, ChinaFaculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan 650093, ChinaDecision-making trial and evaluation laboratory (DEMATEL) is a widely accepted factor analysis algorithm for complex systems. The rationality of the evaluation scale is the basis of sound DEMATEL decision-making. Unfortunately, the existing evaluation scales of DEMATEL failed to reasonably distinguish and describe the positive and negative influences between factors. Generally, the positive and negative influences between factors should be considered at the same time. In other words, negative influence between factors should not be directly ignored, which is improper and unrealistic. To better address this issue, we extend the evaluation scale of DEMATEL. We also integrate the scale-based group DEMATEL method with probabilistic linguistic term sets (PLTSs) to increase its effectiveness, which allows experts to express incomplete and uncertain linguistic preferences in DEMATEL decision-making. An experts’ subjective weight adjustment method based on the similarity degree between PLTSs is introduced to determine experts’ weights. Finally, an algorithm of probabilistic linguistic-based group DEMATEL method with both positive and negative influences is summarized, and an example is used to illustrate the proposed method and demonstrate its superiority. Our results demonstrate that the method proposed in this paper deals reasonably with realistic problems.http://dx.doi.org/10.1155/2021/4839079 |
| spellingShingle | Yonghe Sun Siyu Zhang Zihang Huang Bin Miao Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative Influences Complexity |
| title | Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative Influences |
| title_full | Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative Influences |
| title_fullStr | Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative Influences |
| title_full_unstemmed | Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative Influences |
| title_short | Probabilistic Linguistic-Based Group DEMATEL Method with Both Positive and Negative Influences |
| title_sort | probabilistic linguistic based group dematel method with both positive and negative influences |
| url | http://dx.doi.org/10.1155/2021/4839079 |
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