Using Fuzzy Petri Nets for Static Analysis of Rule-Bases

Bostan-Korpeoglu, Burcin; Yazıcı, Adnan

doi:10.1007/978-3-540-30182-0_8

Cited by 12 publications

(6 citation statements)

References 5 publications

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“…As shown in Figure 2, we first construct a Fuzzy Petri net based on the fuzzy ECA rules of the application domain, which are stored in the fuzzy active database. Although we do not discuss it in this paper (due to space limitation), the static rule analysis is done on the specified rules using the generated Fuzzy Petri Net model for validation and verification purposes [20]. When an event arrives from the sensor network or a query arrives from the user, the fuzzy inference engine is invoked for deduction, using the rules and data stored in fuzzy active database.…”

Section: The Active Database Model For Sensor Network Applicationsmentioning

confidence: 99%

A New Approach for Information Processing inWireless Sensor Network

Bostan-Korpeoglu

Yazıcı

Korpeoglu

et al. 2006

22nd International Conference on Data Engineering Workshops (ICDEW'06)

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Recent technological advances enable realization of wireless sensor networks suitable for many applications including environmental monitoring, biological and chemical contamination detection, earthquake management. Depending on the application, the properties of sensor network databases include a distributed environment, approximate and long-running queries, large volumes of data, uncertainty and fuzziness in data and in queries, activeness, etc., which bring out new database processing and management problems. In particular, reactive sensor network database applications must be able to detect the occurrences of specific events or changes in the network state, and to respond by automatically executing the appropriate application logic. For such applications, an ECA rule-based fuzzy active database approach fits well. In this study, we propose an active database approach employing a fuzzy Petri net model, which processes uncertain sensor data and handles flexible (i.e., fuzzy and approximate) and continuous queries. The proposed model provides a natural data processing and management approach for sensor and actuator network applications that require reactive behavior.

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Section: The Active Database Model For Sensor Network Applicationsmentioning

confidence: 99%

A New Approach for Information Processing inWireless Sensor Network

Bostan-Korpeoglu

Yazıcı

Korpeoglu

et al. 2006

22nd International Conference on Data Engineering Workshops (ICDEW'06)

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“…Uncertain knowledge associated to the systems monitoring of the discrete events requires specific reasoning and modeling methods adapted to a logic different from the traditional one [1], [2], [3], [4]. Hierarchical systems [7] have been for many years a practical solution to approach complex, large -scale systems.…”

Section: Introductionmentioning

confidence: 99%

“…In this case, FPN is interfaced with the supervised system by information arrived from sensors and represents the equivalent of a fuzzy controller for a discrete events system [5], [13], [6]. Another class of application modeled by the FPN is that which express the inaccuracy or the fuzzy knowledge [1], [8]. This last type of FPN models a physical system by applying linear logic [3], to the resource transformation level.…”

Section: Introductionmentioning

confidence: 99%

Assembly-disassembly flexible lines and collaborative robots considered as hierarchical systems in temporal recurrent modelling

Minca

Dragomir

et al. 2011

2011 9th World Congress on Intelligent Control and Automation

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This article proposes a temporal recurrent approch of hierarchical systems modeling, symplifing prevoius tools in thies area of th authors. The states of the systems are supposed known for system functioning at every occurence moment. In addition to them, appear external events for nonautonomus system sysncronisation {s i }, with transitions in Temporised Recurrent Petri Nets (TRecPN) model. The sysncronised signals are defined on an assembly of subsets, conditioned by the moment of occurence and the temporal interval when are expected in network. This approch permits an hierarchical approch on levels of Petri Net model. The refining process of the model is made on horisontal. In each place is a PN model, each one is linked with a distinct temporal interval represented by a syncronised signals subset. In an explected syncronised signal doesn't appears, the model functioning will be stoped. Each level is linked with a LIFO object placed on a lower level dedicated to the transfer of the last state reache by the system. In this context, two type of applications are proposed: a) recurrent detection function modelling; b) manufacturing system served by colaborative robots support.

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“…Finally, Bostan-Korpeoglu and Yazici (2004) explained that Fuzzy Petri Net (FPN) structure is used to represent knowledge and model the behavior in many intelligent object-oriented database environment, which integrates fuzzy, active and deductive rules with database objects. Nevertheless, the behavior of a system could be unpredictable because of the rules triggering each other.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of enterprise architecture using fuzzy sequence diagram

Atasheneh¹,

Harounabadi²,

Mirabedini³

2013

10.5267/j.dsl

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Developing an Enterprise Architecture is a complex task and to control the complexity of the regulatory framework we need to measure the relative performance of one system against other available systems. On the other hand, enterprise architecture cannot be organized without the use of a logical structure. The framework provides a logical structure for classifying architectural output. Among the common architectural framework, the C4ISR framework and methodology of the product is one of the most popular techniques. In this paper, given the existing uncertainties in system development and information systems, a new version of UML called Fuzzy-UML is proposed for enterprise architecture development based on fuzzy Petri nets. In addition, the performance of the system is also evaluated based on Fuzzy sequence diagram.

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Using Fuzzy Petri Nets for Static Analysis of Rule-Bases

Cited by 12 publications

References 5 publications

A New Approach for Information Processing inWireless Sensor Network

A New Approach for Information Processing inWireless Sensor Network

Assembly-disassembly flexible lines and collaborative robots considered as hierarchical systems in temporal recurrent modelling

Performance evaluation of enterprise architecture using fuzzy sequence diagram

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