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A fuzzy Petri net-based expert system and its application to damage assessment of bridges

J. Lee, K.F.R. Liu, Weiling Chiang
1999 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
In this paper, a fuzzy Petri net approach to modeling fuzzy rule-based reasoning is proposed to bring together the possibilistic entailment and the fuzzy reasoning to handle uncertain and imprecise information  ...  Major features of FPNES include knowledge representation through the use of hierarchical fuzzy Petri nets, a reasoning mechanism based on fuzzy Petri nets, and transformation of modularized fuzzy rule  ...  Analysis of Fuzzy Petri Nets This section describes how fuzzy Petri nets can be analyzed.  ... 
doi:10.1109/3477.764869 pmid:18252319 fatcat:6xtczl6tmrbqbhjsso7iztmhla

Video Event Recognition with Fuzzy Semantic Petri Nets [chapter]

Piotr Szwed
2014 Advances in Intelligent Systems and Computing  
We propose Fuzzy Semantic Petri Nets (FSPN) as a tool aimed at solving the mentioned problems. FSPN are Petri nets coupled with an underlying fuzzy ontology.  ...  FSPN enable detection of events occurring concurrently, analysis of various combinations of objects and reasoning about alternatives.  ...  Conclusions In this paper we address the problem of automatic recognition of video events and introduce Fuzzy Semantic Petri Nets, a tool allowing to specify scenarios and reason about their occurrences  ... 
doi:10.1007/978-3-319-02309-0_47 fatcat:2txhmcbfjvgztlz3slxzs6fwyi


1998 International journal on artificial intelligence tools  
The reasoning algorithm is consistent with not only the rule-based reasoning but also the execution of Petri nets.  ...  In this paper, a fuzzy Petri nets for modeling fuzzy rule-based reasoning is proposed to bring together the possibilistic entailment and the fuzzy reasoning to handle uncertain and imprecise information  ...  This research w as supported by the National Science Council (Taiwan, R.O.C) under grants NSC 86-2213-E-008-008 and NSC 86-2211-E-008-015.  ... 
doi:10.1142/s0218213098000226 fatcat:z25fzjzhkzfdzb2pb7is343nyy

Fuzzy Stochastic Petri Nets for Modeling Biological Systems with Uncertain Kinetic Parameters

Fei Liu, Monika Heiner, Ming Yang, Jérémie Bourdon
2016 PLoS ONE  
Considering the strength of fuzzy sets to deal with uncertain information, we apply a specific type of stochastic Petri nets, fuzzy stochastic Petri nets (FSPNs), to model and analyze biological systems  ...  For a biological system, SPNs model the randomness, while fuzzy sets model kinetic parameters with fuzzy uncertainty or variability by associating each parameter with a fuzzy number instead of a crisp  ...  Acknowledgments We would like to thank Christian Rohr and Martin Schwarick for the many productive discussions we have had.  ... 
doi:10.1371/journal.pone.0149674 pmid:26910830 pmcid:PMC4766190 fatcat:trlnjwwxarhffljgwvthyiklsq

Bridge Damage Assessment through Fuzzy Petri Net Based Expert System

Weiling Chiang, Kevin F. R. Liu, Jonathan Lee
2000 Journal of computing in civil engineering  
fuzzy Petri nets, and an explanation of the reasoning process through the use of hierarchical fuzzy Petri nets.  ...  Major features of FPNES include the ability to reason using uncertain and imprecise information, knowledge representation through the use of hierarchical fuzzy Petri nets, a reasoning mechanism based on  ...  This research is partially sponsored by the National Science Council (Taiwan) under grants NSC 86-2213-E-008-008 and NSC 86-2211-E-008-015.  ... 
doi:10.1061/(asce)0887-3801(2000)14:2(141) fatcat:4tsph7k6sfe33otsodixxe4afa

An Approach for Improving Performance of a Packet Filtering Firewall Based on Fuzzy Petri Net

Ali A. Ali, Saad M. Darwish, Shawkat K. Guirguis
2015 Journal of Advances in Computer Networks  
Index Terms-Firewall, fuzzy petri net, packet filtering, access control list (ACL).  ...  The graphical power of Petri Nets makes the packet filtering model easy to design, test, improve and maintain.  ...  The fuzziness concept can be incorporated in Petri Nets by applying a fuzzy reasoning mechanism over the Petri Nets structure [12] .  ... 
doi:10.7763/jacn.2015.v3.144 fatcat:memtzqhwnjfgnhyju365sc67sq

Modeling and Recognition of Video Events with Fuzzy Semantic Petri Nets [chapter]

Piotr Szwed
2016 Advances in Intelligent Systems and Computing  
We introduce a new concept of Fuzzy Semantic Petri Nets (FSPN) and discuss their application to recognition of video events. FSPN are Petri nets coupled with an underlying fuzzy ontology.  ...  The Petri net structure is obtained by translating a Linear Temporal Logic formula specifying a scenario in a human-readable form.  ...  FSPN are Petri nets coupled with an underlying fuzzy ontology.  ... 
doi:10.1007/978-3-319-19090-7_38 fatcat:ki4twcmfizhvrcrjgtgmtvjpqi

Evaluation of software architecture using fuzzy color Petri net

Zohreh Shiriyan Dehkordi, Ali Harounabadi, Saeed Parsa
2013 Management Science Letters  
Using language variables and fuzzy logic causes a higher accuracy in computations associated with efficiency evaluation.  ...  For evaluating software architecture and making an executive model, using color Petri net are useful because of simplicity, high capability and enhancing theoretical mathematics.  ...  Proposed method for color Petri net, fuzzy data diagram, fuzzy sequence diagram and analysis are considered in the fourth section.  ... 
doi:10.5267/j.msl.2012.12.016 fatcat:5yekjcnuo5bh3g3jfzxvif2it4

Robot Reliability Using Petri Nets and Fuzzy Lambda-Tau Methodology [article]

Ajay Kumar, S. P. Sharma, Dinesh Kumar
2009 arXiv   pre-print
Petri Nets are used because unlike the fault tree methodology, the use of Petri Nets allows efficient simultaneous generation of minimal cut and path sets.  ...  Triangular fuzzy numbers are used to represent failure rates and repair times as they allow expert opinion, linguistic variables, operating conditions, uncertainty and imprecision in reliability information  ...  Both Petri nets and fault tree are used for software reliability analysis [21] , analysis of coherent fault trees [22] and fault diagnosis.  ... 
arXiv:0907.3371v1 fatcat:ygbysbjrb5f7vbfuqslifmgvyq

Modeling uncertainty reasoning with possibilistic petri nets

J. Lee, K.F.R. Liu, W. Chiang
2003 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
Petri nets are a graphical and mathematical modeling tool with powerful modeling and analytical ability.  ...  The focus of this paper is on the integration of Petri nets with possibilistic reasoning to reap the benefits of both formalisms.  ...  In this paper, we combine a high-level Petri nets model with possibilistic reasoning as possibilistic Petri Nets to model uncertainty with possibilistic information.  ... 
doi:10.1109/tsmcb.2003.810446 pmid:18238172 fatcat:wsorcwrinnffhel6jf2o6t4yhm

Hybrid modelling of biological systems using fuzzy continuous Petri nets

2019 Briefings in Bioinformatics  
Fuzzy continuous Petri nets (FCPNs) combine continuous Petri nets with fuzzy inference systems, and thus offer an hybrid uncertain/certain approach to integrated modelling of such biological systems with  ...  uncertainties.  ...  and Petri nets with fuzzy kinetic parameters (only parametric uncertainty).  ... 
doi:10.1093/bib/bbz114 pmid:33480420 pmcid:PMC7820864 fatcat:5xca6chmqzf7be5jeub46666ze

A Hybrid System with Petri Net and Fuzzy Theory

Rong-Hou Wu, Yang-Han Lee, Yih-Guang Jan, Hsien-Wei Tseng, Ming-Hsueh Chuang, Jheng-Yao Lin
2006 Proceedings of the 9th Joint Conference on Information Sciences (JCIS)  
In this paper, we issue a hybrid system, which is integrated with the fuzzy system and Petri net models.  ...  predict the next state transition of Petri net graphs.  ...  On the other hand, Petri Nets (PNs) was used for system model analysis and development tool, and was combination of graphic and mathematic properties.  ... 
doi:10.2991/jcis.2006.300 dblp:conf/jcis/WuLJTCL06 fatcat:7rq4ttubc5bgza2fdbndr6hjn4

A quality control method for nuclear instrumentation and control systems based on software safety prediction

Han Seong Son, Poong Hyun Seong
2000 IEEE Transactions on Nuclear Science  
The authors have introduced fuzzy approximate reasoning to the classification method because experts' knowledge covers the vague frontiers between good quality and bad quality with linguistic uncertainty  ...  Fuzzy Colored Petri Net (FCPN) is introduced in order to offer a formal framework for the classification method and facilitate the knowledge representation, modification, or verification.  ...  FUZZY COLORED PETRI NETS A. Colored Petri Nets (CPN) Petri Nets can visualize the actual system with ease due to the concurrency support and formal semantics.  ... 
doi:10.1109/23.846274 fatcat:yx5dcc5m7fdafiqigknuurdboi

Implementing Intelligent Techniques for the Advanced Alarm Processing

Yufan Guan, Mladen Kezunovic
2009 2009 15th International Conference on Intelligent System Applications to Power Systems  
In this sense, Fuzzy Reasoning Petri-nets is a very powerful intelligent technique to deal with the complexities of the power system fault and alarm processing.  ...  A graphical FRPN model is build in this paper based on the optimal structure and uses fuzzy logic parameters to effectively tackle the uncertainties.  ...  Fuzzy Reasoning Petri-nets (FRPN) technique Fuzzy Reasoning Petri-nets (FRPN) technique [14] [15] [16] gains the advantages of Expert System and Fuzzy Logic, as well as parallel information processing  ... 
doi:10.1109/isap.2009.5352909 fatcat:uwjjra7ww5bcvjrtfzu7bv55ea

A Code Plagiarism Detection System Based on Abstract Syntax Tree and a High Level Fuzzy Petri Net

Victor R.L. SHEN, Farica P. PUTRI
2017 DEStech Transactions on Materials Science and Engineering  
syntax tree, High-level fuzzy petri net. Abstract. Students, who majored in computer science, are required to design and code in a variety of programming languages.  ...  This paper proposes a novel method of detecting the source code plagiarism by using a high-level fuzzy Petri net (HLFPN) based on abstract syntax trees (AST).  ...  High-Level Fuzzy Petri Net Petri nets are a graphical and mathematical modeling tool, which is concurrent, asynchronous, distributed, parallel, nondeterministic, and stochastic; and it can be used to model  ... 
doi:10.12783/dtmse/mmme2016/10092 fatcat:dhwvz5asa5hkrf3lpagzozzh6a
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