Applying fuzzy events to approximate reasoning in active databases

Bouaziz, T.; Wolski, Antoni

doi:10.1109/fuzzy.1997.622801

Cited by 13 publications

(24 citation statements)

References 11 publications

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“…Fuzzy concepts were integrated into expert systems and database systems [3], [8]- [11], and it was previously shown that incorporation of fuzzy concepts into databases is desirable and does solve the problems of uncertainty and inherent fuzziness of acquired data [12], [13]. The use of fuzziness in active database context which extends the standard databases by rules was also shown to be useful [14], [15], [6]. In a typical ADBMS, system responses are declaratively expressed using event-condition-action (ECA) rules [16].…”

Section: A Active Databasesmentioning

confidence: 99%

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Automated construction of fuzzy event sets and its application to active databases

Saygın

Ulusoy

2001

IEEE Trans. Fuzzy Syst.

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Abstract-Fuzzy sets and fuzzy logic research aims to bridge the gap between the crisp world of math and the real world. Fuzzy set theory was applied to many different areas, from control to databases. Sometimes the number of events in an event-driven system may become very high and unmanageable. Therefore, it is very useful to organize the events into fuzzy event sets also introducing the benefits of the fuzzy set theory. All the events that have occurred in a system can be stored in event histories which contain precious hidden information. In this paper, we propose a method for automated construction of fuzzy event sets out of event histories via data mining techniques. The useful information hidden in the event history is extracted into a matrix called sequential proximity matrix. This matrix shows the proximities of events and it is used for fuzzy rule execution via similarity based event detection and construction of fuzzy event sets. Our application platform is active databases. We describe how fuzzy event sets can be exploited for similarity based event detection and fuzzy rule execution in active database systems.Index Terms-Active databases, fuzzy event sets, fuzzy rule execution, fuzzy triggers, similarity based event detection.

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Section: A Active Databasesmentioning

confidence: 99%

“…To the best of our knowledge, only a research group in VTT (Finland) has worked on fuzzy triggers [27], [15], [28], [14]. In [28], a condition-action (CA) fuzzy trigger was proposed which means that fuzziness was introduced to the CA part of an event-condition-action (ECA) rule.…”

Section: A Fuzzy Rules In Admssmentioning

confidence: 99%

Automated construction of fuzzy event sets and its application to active databases

Saygın

Ulusoy

2001

IEEE Trans. Fuzzy Syst.

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“…Fuzzy logic arises as a response to the inflexibility of the classic binary logic [10][11]. By means of a set of functions, a degree of flexibility may be given to these epithets: what may be cool for a Sevillian might be mild for a Berliner.…”

Section: Fuzzy Logic Systemmentioning

confidence: 99%

A Method for the Access to the Contents in a Set of Knowledge Using a Fuzzy Logic Based Intelligent Agent

Ropero

Gómez

León

et al. 2007

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)

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This paper proposes a method for the classification of the contents in a set of knowledge in order to answer to user consultations using natural language. The system is based on a fuzzy logic engine, which takes advantage of its flexibility for managing sets of accumulated knowledge. These sets can be built in hierarchic levels by a tree structure. A method of consultation based on a fuzzy logic application provided with an interface that one may interact with in natural language is also proposed. The eventual aim of this system is the implementation of an intelligent agent to manage the information contained in an internet portal.

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“…Wolski et al [23] propose a fuzzy database trigger where fuzzy membership functions are used to model event-conditionaction rules and integrate approximate reasoning into a crisp database rule evaluation mechanism. A similar idea is put forward in [5]. [22] introduce a retrieval language based on fuzzy logic and address the problem of retrieving using relevance feedback, a method do automatically adapt the representation of the underlying fuzzy set.…”

Section: Related Workmentioning

confidence: 99%