Knowledge net shell (KNS): Petri net based development tool for expert systems

Etessami, F.S.; Hura, Gurdeep S.

doi:10.1016/0026-2714(91)90014-x

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…The rule is modeled by t i and describes fuzzy relationship between input and output place propositions of t i . There are several rationales behind which to base a computational paradigm for expert systems on Petri net theory [2,6].…”

Section: Inference Model Processmentioning

confidence: 99%

“…Fuzzy Petri nets (FPN) can provide us with a useful way to properly represent fuzzy knowledge. FPN can deal with the ambiguity, integrity and complexity of knowledge better, combining with the fuzzy net theory and based on the traditional PN [2]. It is a good graphical modeling tool and can analyze the changes and characteristics of rule-base status on different levels to do the fuzzy reasoning.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of breast cancer risk by using formal reasoning algorithm

Hamed

2013

2013 5th International Conference on Computer Science and Information Technology

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we introduce an approach to risk estimation in breast cancer disease based on an intelligent method of Petri net. For the purpose of knowledge representation of risk estimation in breast cancer disease, a specified type of Petri net approach is explicitly introduced in this paper. A woman whose mother, sister or daughter had breast cancer has an increased risk. Having a male relative with breast cancer, can also increase your risk. In the proposed approach, an eight factors profile is first transformed into a mapping form and then the transformed data are mapped into the fuzzy inference system. Since the relations of an eight factors are represented by fuzzy model, the proposed method is robust to noisy and uncertain information. The compatibility of the system to existing models of gender, age, genetic status, menarche age, menopause age, first birth age, alcohol consumption and nutrition habit as factors have been identified in the model of breast cancer has been tested.

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Section: Inference Model Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of breast cancer risk by using formal reasoning algorithm

Hamed

2013

2013 5th International Conference on Computer Science and Information Technology

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show abstract

“…• Petri nets achieve the structuring of knowledge within rule bases, which can express the relationships among rules and help experts construct and modify rule bases [12]. • The Petri net's graphic nature provides the visualization of the dynamic behavior of rule-based reasoning.…”

Section: Introductionmentioning

confidence: 99%

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

Lee

Liu

Chiang

1999

IEEE Trans. Syst., Man, Cybern. B

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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. The three key components in our fuzzy rule-based reasoning-fuzzy propositions, truth-qualified fuzzy rules, and truth-qualified fuzzy facts-can be formulated as fuzzy places, uncertain transitions, and uncertain fuzzy tokens, respectively. Four types of uncertain transitions-inference, aggregation, duplication, and aggregation-duplication transitions-are introduced to fulfil the mechanism of fuzzy rule-based reasoning. A framework of integrated expert systems based on our fuzzy Petri net, called fuzzy Petri net-based expert system (FPNES), is implemented in Java. 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 bases into hierarchical fuzzy Petri nets. An application to the damage assessment of the Da-Shi bridge in Taiwan is used as an illustrative example of FPNES.

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Extended abstract Petri nets: A constraint-based model of computation

Hura

1991

Engineering Applications of Artificial Intelligence

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Knowledge net shell (KNS): Petri net based development tool for expert systems

Cited by 6 publications

References 13 publications

Evaluation of breast cancer risk by using formal reasoning algorithm

Evaluation of breast cancer risk by using formal reasoning algorithm

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

Extended abstract Petri nets: A constraint-based model of computation

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