{"title":"包含间接效应的语言z数Petri网及其在广义生态驾驶行为评价中的应用","authors":"Yanni Rao;Xuan Wu;Guoquan Xie;Kui Wang;Yong Peng;Guangdong Tian;Honghao Zhang","doi":"10.1109/TITS.2025.3558901","DOIUrl":null,"url":null,"abstract":"As a valuable tool for knowledge representation and reasoning, fuzzy Petri nets (FPNs) have obtained widespread application in many fields and achieved ideal results to some degree. However, current methods ignore the reliability of expert evaluations and the indirect effects among propositions, which may lead to decision-making errors or inaccurate evaluations. Thus, the indirect-effect-incorporated linguistic Z-number Petri nets (ILZPNs) are proposed in this paper. The linguistic Z-number is presented to capture knowledge information more comprehensively with its related fuzzy rules. The concepts of indirect effects and its aggression operators are designed to enhance the knowledge reasoning capability of ILZPN. Besides, the formal definition and the corresponding simulation algorithm of ILZPN are presented to conduct knowledge representation and reasoning. Subsequently, an empirical case, i.e., generalized eco-driving behavior evaluation, is applied to verify the proposed approach. In addition, comparison and sensitivity analysis are performed to monitor the robustness of the results. The results prove that this study offers a significant reference for the research into similar issues.","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"26 6","pages":"8541-8557"},"PeriodicalIF":8.4000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Indirect-Effect-Incorporated Linguistic Z-Number Petri Nets and Its Application to Evaluate Generalized Eco-Driving Behaviors\",\"authors\":\"Yanni Rao;Xuan Wu;Guoquan Xie;Kui Wang;Yong Peng;Guangdong Tian;Honghao Zhang\",\"doi\":\"10.1109/TITS.2025.3558901\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a valuable tool for knowledge representation and reasoning, fuzzy Petri nets (FPNs) have obtained widespread application in many fields and achieved ideal results to some degree. However, current methods ignore the reliability of expert evaluations and the indirect effects among propositions, which may lead to decision-making errors or inaccurate evaluations. Thus, the indirect-effect-incorporated linguistic Z-number Petri nets (ILZPNs) are proposed in this paper. The linguistic Z-number is presented to capture knowledge information more comprehensively with its related fuzzy rules. The concepts of indirect effects and its aggression operators are designed to enhance the knowledge reasoning capability of ILZPN. Besides, the formal definition and the corresponding simulation algorithm of ILZPN are presented to conduct knowledge representation and reasoning. Subsequently, an empirical case, i.e., generalized eco-driving behavior evaluation, is applied to verify the proposed approach. In addition, comparison and sensitivity analysis are performed to monitor the robustness of the results. The results prove that this study offers a significant reference for the research into similar issues.\",\"PeriodicalId\":13416,\"journal\":{\"name\":\"IEEE Transactions on Intelligent Transportation Systems\",\"volume\":\"26 6\",\"pages\":\"8541-8557\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Intelligent Transportation Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10975035/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Intelligent Transportation Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10975035/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
An Indirect-Effect-Incorporated Linguistic Z-Number Petri Nets and Its Application to Evaluate Generalized Eco-Driving Behaviors
As a valuable tool for knowledge representation and reasoning, fuzzy Petri nets (FPNs) have obtained widespread application in many fields and achieved ideal results to some degree. However, current methods ignore the reliability of expert evaluations and the indirect effects among propositions, which may lead to decision-making errors or inaccurate evaluations. Thus, the indirect-effect-incorporated linguistic Z-number Petri nets (ILZPNs) are proposed in this paper. The linguistic Z-number is presented to capture knowledge information more comprehensively with its related fuzzy rules. The concepts of indirect effects and its aggression operators are designed to enhance the knowledge reasoning capability of ILZPN. Besides, the formal definition and the corresponding simulation algorithm of ILZPN are presented to conduct knowledge representation and reasoning. Subsequently, an empirical case, i.e., generalized eco-driving behavior evaluation, is applied to verify the proposed approach. In addition, comparison and sensitivity analysis are performed to monitor the robustness of the results. The results prove that this study offers a significant reference for the research into similar issues.
期刊介绍:
The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical activities among IEEE entities, and providing a focus for cooperative activities, both internally and externally.