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fuzzy reasoning model using fuzzy petri nets for the monitoring of robotic assembly

Journal of Harbin Institute of Technology(New Series) 2007年第5期14卷 668-673页

作者：赵杰高胜蔡鹤皋 Robot Research Institute Harbin Institute of Technology

This paper presented a fuzzy petri net model to deal with the monitoring of robotic assembly. Based on the fuzzy petri net model, an efficient composite reasoning mode was proposed to perform fuzzy reasoning automatiealy. It can determine whether there exists an antecedent-consequence relationship between two contact states. Furthermore, various types of sensor signals can be converted to the same form of real values between zero and one, and the contradiction among large number, high degree of truth and importance of input conditions can be resolved very well by introducing the weight factors and priorities for sensor signals. Finally, a peg- in-the-hole example was given to illustrate the reasonability and feasibility of the proposed model.

关键词： fuzzy petri nets robotic assembly process control contact states monitoring peg-in-the-hole

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Method of Dynamic Knowledge Representation and Learning Based on fuzzy petri nets

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Journal of Beijing Institute of Technology 2008年第1期17卷 41-45页

作者：危胜军胡昌振孙明谦 School of Software Beijing Institute of Technology

A method of knowledge representation and learning based on fuzzy petri nets was designed. In this way the parameters of weights, threshold value and certainty factor in knowledge model can be adjusted dynamically. The advantages of knowledge representation based on production rules and neural networks were integrated into this method. Just as production knowledge representation, this method has clear structure and specific parameters meaning. In addition, it has learning and parallel reasoning ability as neural networks knowledge representation does. The result of simulation shows that the learning algorithm can converge, and the parameters of weights, threshold value and certainty factor can reach the ideal level after training.

关键词： knowledge representation knowledge learning fuzzy petri nets fuzzy reasoning

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Application of Rough Sets in fuzzy petri nets

Application of Rough Sets in Fuzzy Petri Nets

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The Second Conference on fuzzy Information & Engineering

作者： MINGHU HA College of Mathematics and Computer Sciences, Hebei University, Baoding 071002, China YINGXIN WANG College of Mathematics and Computer Sciences, Hebei University, Baoding 071002, China DAZENG TIAN College of Physics Science and Technology, Hebei University, Baoding 071002, China

By using attributes core and indiscernibility relation in rough sets, attributes reduction algorithm is given,expert knowledge system is simplified, the minimal set of effective rules is acquired, and a fuzzy petri net is built. The petri net can effectively decrease the complexity of the net structure. The algorithm proposed can be used to fuzzy reasoning by using a fuzzy petri net,and an example illustrates the efficiency of combining rough sets and fuzzy petri net.

关键词： rough sets reduction of attribute fuzzy petri nets fuzzy reasoning

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SOFT MODELING OF KNOWLEDGE SYSTEMS THROUGH fuzzy petri nets

SOFT MODELING OF KNOWLEDGE SYSTEMS THROUGH FUZZY PETRI NETS

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IFIP TC12 WG12.5-Second IFIP Conference on Artificial Intelligence Applications and Innovations(AIAI2005)

作者： Felipe Lara-Rosano Centre for Applied Sciences and Technological Development National University of Mexico

Knowledge in the social and human Sciences cannot be modeled with old time mathematical modeling *** this situation,it would be very useful to have modeling approaches capable to express the richness of social reality,including its vagueness and *** at this objective,a soft modeling approach is proposed,implemented as a generalized fuzzy petri *** model can be then used to make inferences and to solve problems related to the complex system.

关键词： Complex systems soft models fuzzy petri nets knowledge-based systems knowledge representation.

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