New Methods for Knowledge Representation and Reasoning Using Extended Fuzzy Petri Nets and Time Petri Nets

碩士 === 國立交通大學 === 資訊科學學系 === 86 === In this thesis, we present an extended fuzzy Petri net model to model fuzzy IF-THEN rules and fuzzy IF-THEN-ELSE rules of rule- based systems. We also develop an efficient algorithm for performing vague r...

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Bibliographic Details
Main Authors: Shiau, Yuh-Shin, 蕭毓欣
Other Authors: Shyi-Ming Chen
Format: Others
Language:zh-TW
Published: 1997
Online Access:http://ndltd.ncl.edu.tw/handle/59329606435635902582
Description
Summary:碩士 === 國立交通大學 === 資訊科學學系 === 86 === In this thesis, we present an extended fuzzy Petri net model to model fuzzy IF-THEN rules and fuzzy IF-THEN-ELSE rules of rule- based systems. We also develop an efficient algorithm for performing vague reasoning automatically based on the extended fuzzy Petri net model. The proposed algorithm allows the computers to perform reasoning in a more flexible and more intelligent manner. Based on the proposed vague reasoning algorithm, we have implemented a vague reasoning system on a Pentium PC for performing vague reasoning automatically. Furthermore, we propose a method to describe the relationships between states and events for temporal knowledge representation and reasoning using time Petri nets. We also propose an algorithm to infer the consistency of the temporal knowledge based on the time Petri nets. Based on the proposed temporal reasoning algorithm, we have implemented a temporal reasoning system on a Pentium PC to check the consistency of the temporal knowledge.