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Vague Set Reasoning using Extended Fuzzy Pr/T Nets  

Cho, Sang-Yeop (청운대학교 인터넷학과)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.9, 2005 , pp. 927-935 More about this Journal
Abstract
The certainty factors of the fuzzy production rules and the certainty factors of fuzzy propositions appearing in the rules are represented by real values between zero and one. If it can allow the certainty factors of the fuzzy production rules and the certainty factors of fuzzy propositions can be represented by intervals, such as vague numbers between zero and one based on vague sets, then it can allow the reasoning of rule-based systems to perform fuzzy reasoning in more flexible manner[18]. we are also proposed an efficient algorithm to perform vague set reasoning automatically. This vague set reasoning algorithm allows the rule-based systems to perform reasoning in a more flexible and more efficient.
Keywords
vague sets; vague set reasoning; extended fuzzy Pr/T nets;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Arnould, T., and Tano, S., 'Interval-valued Fuzzy Backward Reasoning,' IEEE Trans. Fuzzy Systems, Vol. 3, pp.425-437, 1995   DOI   ScienceOn
2 Lodwick, W. A., and Jamison, K. D., 'Special Issue: Interface Between Fuzzy Set Theory and Interval Analysis,' Fuzzy Sets and Systems, Vol. 135, pp.1-3, 2003   DOI   ScienceOn
3 Moore, R., and Lodwick, W. A., 'Interval Analysis and Fuzzy set theory,' Fuzzy Sets and Systems, Vol. 135, pp.5-9, 2003   DOI   ScienceOn
4 조상엽, 김기태, '퍼지페트리네트를 이용한 퍼지생성규칙의 표현', 한국정보과학회 논문지, 제21권, 제2호, pp.298-306, 1994
5 조경달, 조상엽, '퍼지페트리네트를 이용한 구간값 퍼지집합추론', 한국정보과학회 논문지: 소프트웨어 및 응용, 제 31권, 제5호, pp.625-631, 2004
6 Giordana, A., and Saitta, L., 'Modeling Production Rules by Means of Predicate Transition Network,' Information Sciences, Vol. 35, No. 1, pp.1-41, 1985   DOI   ScienceOn
7 Murata, T., and Zhang D., 'A Predicate-Transition Net Model for Parallel Interpretation of Logic Program,' IEEE Trans. on SE, Vol. 14, No. 4, pp.481-497, 1988   DOI   ScienceOn
8 Chen, Shyi-Ming, and Shiau, Y. S., 'Vague Reasoning and Knowledge Representation Using Extended Fuzzy Petri Nets,' J. of Information Science and Engineering, Vol. 14, pp.391-408, 1998
9 Lin, C., et al., 'Logical Inference of Horn Clauses in Petri Net Models,' Knowledge and Data Engineering, Vol. 5, pp.416-425, 1993   DOI   ScienceOn
10 Peterka, G., and Murata, M., 'Proof Procedure and Answer Extraction in Petri Net Model of Logic Programs,' IEEE Trans. on SE, Vol. 15, pp.209-217, 1989   DOI   ScienceOn
11 Chen, Shyi-Ming, 'Analyzing Fuzzy System Reliability Using Vague Set Theory,' Int'l J. of Applied Science and Engineering, Vol. 1, pp.82-88, 2003
12 Urszula, Wybraniec-skardowska, 'Knowledge, Vagueness, and Logic,' Int'l J. Appl, Math. Comput. Sci., Vol. 11, No. 3, pp.719-737, 2001
13 Yu, Sheng-Ke, 'Knowledge Representation and Reasoning Using Fuzzy Pr/T net-systems,' Fuzzy Sets and Systems, 75, pp.33-45, 1995   DOI   ScienceOn
14 Peterson, J. L., Petri Net Theory and the Modeling of Systems, Prentice-hall, 1981
15 Chen, Shyi-Ming, 'Weighted Fuzzy Reasoning Using Weighted Fuzzy Petri Nets.' IEEE Trans. on KDE, Vol. 14, No. 2, March/april, pp.386-397, 2002   DOI   ScienceOn
16 Chen, Shyi-Ming, 'Arithmetic Operations Between Vague Sets,' Proceedings of the Int'l Joint Conf. of CFSA/IFIS/SOFT'95 on Fuzzy Theory and Applications, Taipei, Taiwan, Republic of China, pp.206-211, 1995
17 Chen, Shyi-Ming., Ke, J., and Chang, J., 'Knowledge Representation Using Fuzzy Petri-nets,' IEEE Trans. on KDE, Vol. 2, No. 3, Sep., pp.311-319, 1990   DOI   ScienceOn
18 Looney, G. C., 'Fuzzy Petri Nets for Rule-based Decision Making,' IEEE Trans. on SMC, Vol. 18, No. 1, Jen./Feb., pp.178-183, 1988   DOI   ScienceOn
19 Zadeh, L. A., 'Fuzzy Sets,' Information and Control 8, pp.338-353, 1965   DOI
20 Gau, Wen-Lung, and Buehrer, Daniel J., 'Vague Sets,' IEEE Trans. on SMC, Vol. 23, No. 2, pp.610-614, 1993   DOI   ScienceOn