Probabilistic Linguistic Three-Way Multi-Attibute Decision Making for Hidden Property Evaluation of Judgment Debtor
Most law enforcement cases executed by the courts in China have behaviours of evading, evading, or even violently resisting execution or passively waiting for enforcement, which seriously affects the authority of legal judgments and the judiciary’s credibility. Therefore, we develop a hidden propert...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2021/9941200 |
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| _version_ | 1832560129557397504 |
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| author | Jinhui He Huirong Zhang Zhenyu Zhang Jiaping Zhang |
| author_facet | Jinhui He Huirong Zhang Zhenyu Zhang Jiaping Zhang |
| author_sort | Jinhui He |
| collection | DOAJ |
| description | Most law enforcement cases executed by the courts in China have behaviours of evading, evading, or even violently resisting execution or passively waiting for enforcement, which seriously affects the authority of legal judgments and the judiciary’s credibility. Therefore, we develop a hidden property evaluation model based on the probabilistic linguistic three-way multiattribute decision-making (PL3W-MADM) method. Considering the advantages of probabilistic linguistic term sets (PLTSs) expressing the evaluation information and their probabilities on judgment debtor given by expert judges, we extend the three-way decision method to a probabilistic linguistic environment and develop the strict PL3W-MADM model and flexible PL3W-MADM model. Then, the PL3W-MADM models are used to construct the hidden property evaluation model of judgment debtors. Finally, the developed hidden property evaluation model can quickly and effectively classify the judgment debtors into three categories: hidden behaviour, no hidden behaviour or lack of information, and temporary inability to judge. The results show that the developed model is more suitable for hidden property evaluation than the strict PL3W-MADM model and the flexible PL3W-MADM model. |
| format | Article |
| id | doaj-art-a3a8f87d3f40402b995310f5dfa04cba |
| institution | Kabale University |
| issn | 2314-4629 2314-4785 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-a3a8f87d3f40402b995310f5dfa04cba2025-02-03T01:28:27ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/99412009941200Probabilistic Linguistic Three-Way Multi-Attibute Decision Making for Hidden Property Evaluation of Judgment DebtorJinhui He0Huirong Zhang1Zhenyu Zhang2Jiaping Zhang3Yuannan Middle School, Shanghai 200231, ChinaSchool of Labor Relationship, Shandong Management University, Jinan 250357, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Public Administration, East China Normal University, Shanghai 200062, ChinaMost law enforcement cases executed by the courts in China have behaviours of evading, evading, or even violently resisting execution or passively waiting for enforcement, which seriously affects the authority of legal judgments and the judiciary’s credibility. Therefore, we develop a hidden property evaluation model based on the probabilistic linguistic three-way multiattribute decision-making (PL3W-MADM) method. Considering the advantages of probabilistic linguistic term sets (PLTSs) expressing the evaluation information and their probabilities on judgment debtor given by expert judges, we extend the three-way decision method to a probabilistic linguistic environment and develop the strict PL3W-MADM model and flexible PL3W-MADM model. Then, the PL3W-MADM models are used to construct the hidden property evaluation model of judgment debtors. Finally, the developed hidden property evaluation model can quickly and effectively classify the judgment debtors into three categories: hidden behaviour, no hidden behaviour or lack of information, and temporary inability to judge. The results show that the developed model is more suitable for hidden property evaluation than the strict PL3W-MADM model and the flexible PL3W-MADM model.http://dx.doi.org/10.1155/2021/9941200 |
| spellingShingle | Jinhui He Huirong Zhang Zhenyu Zhang Jiaping Zhang Probabilistic Linguistic Three-Way Multi-Attibute Decision Making for Hidden Property Evaluation of Judgment Debtor Journal of Mathematics |
| title | Probabilistic Linguistic Three-Way Multi-Attibute Decision Making for Hidden Property Evaluation of Judgment Debtor |
| title_full | Probabilistic Linguistic Three-Way Multi-Attibute Decision Making for Hidden Property Evaluation of Judgment Debtor |
| title_fullStr | Probabilistic Linguistic Three-Way Multi-Attibute Decision Making for Hidden Property Evaluation of Judgment Debtor |
| title_full_unstemmed | Probabilistic Linguistic Three-Way Multi-Attibute Decision Making for Hidden Property Evaluation of Judgment Debtor |
| title_short | Probabilistic Linguistic Three-Way Multi-Attibute Decision Making for Hidden Property Evaluation of Judgment Debtor |
| title_sort | probabilistic linguistic three way multi attibute decision making for hidden property evaluation of judgment debtor |
| url | http://dx.doi.org/10.1155/2021/9941200 |
| work_keys_str_mv | AT jinhuihe probabilisticlinguisticthreewaymultiattibutedecisionmakingforhiddenpropertyevaluationofjudgmentdebtor AT huirongzhang probabilisticlinguisticthreewaymultiattibutedecisionmakingforhiddenpropertyevaluationofjudgmentdebtor AT zhenyuzhang probabilisticlinguisticthreewaymultiattibutedecisionmakingforhiddenpropertyevaluationofjudgmentdebtor AT jiapingzhang probabilisticlinguisticthreewaymultiattibutedecisionmakingforhiddenpropertyevaluationofjudgmentdebtor |