Computer Science ›› 2016, Vol. 43 ›› Issue (3): 75-79.doi: 10.11896/j.issn.1002-137X.2016.03.015

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Knowledge Reasoning Method Based on Extended Fuzzy Petri Net

ZHOU Ru-qi, CHEN Yi-qun and FENG Jia-li   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to make fuzzy Petri nets have ability to describe the fuzzy knowledge under the variable fuzzy membership,taking the advantage of the characteristic that the criterion transformation can well express the variable fuzzy membership,the fuzzy Petri net was extended based on the qualitative mapping and the qualitative criterion transformation.The formal definition and the basic operation mechanism of the expanded Petri net were given.The qualitative mapping was used to describe the fuzzy production rule.A new model of knowledge representation and reasoning method was put forward.The new method is good for constructing fuzzy Petri net learning mechanism based on cognition.Results show that the network model has strong ability of knowledge representation.It is suitable for processing fuzzy uncertainty knowledge.The cognitive reasoning process can reflect certain cognitive characteristics,so it is especially suitable for building the intelligent system with qualitative judgment.

Key words: Fuzzy Petri net,Qualitative mapping,Knowledge representation,Qualitative criterion transformation,Machine learning

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