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

IF 8.4 1区 工程技术 Q1 ENGINEERING, CIVIL
Yanni Rao;Xuan Wu;Guoquan Xie;Kui Wang;Yong Peng;Guangdong Tian;Honghao Zhang
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引用次数: 0

摘要

模糊Petri网作为一种有价值的知识表示和推理工具,在许多领域得到了广泛的应用,并取得了一定程度的理想效果。然而,目前的方法忽略了专家评价的可靠性和命题之间的间接影响,这可能导致决策错误或不准确的评价。因此,本文提出了包含间接效应的语言z数Petri网(ilzpn)。为了更全面地捕获知识信息,提出了语言z数及其相关的模糊规则。为了提高ILZPN的知识推理能力,设计了间接效应及其攻击算子的概念。给出了ILZPN的形式化定义和相应的仿真算法,进行了知识表示和推理。最后,以广义生态驾驶行为评价为例,对本文提出的方法进行了实证验证。此外,还进行了比较和敏感性分析,以监测结果的稳健性。结果表明,本研究为同类问题的研究提供了重要的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems 工程技术-工程:电子与电气
CiteScore
14.80
自引率
12.90%
发文量
1872
审稿时长
7.5 months
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.
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