Issue:Intuitionistic fuzzy generalized nets in analyzing transaction database systems with continuous deadlock detection

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Title of paper: Intuitionistic fuzzy generalized nets in analyzing transaction database systems with continuous deadlock detection
Boyan Kolev
Centre for Biomedical Engineering - Bulgarian Academy of Sciences, Acad.G.Bonchev Str., Bl.105, Sofia-1113, BULGARIA
Panagiotis Chountas
Mechatronics Group, Dept. of Computer Science, Univ. of Westminster, London, HA1 3TP, UK
Ilias Petrounias
Department of Computation UMIST, Manchester PO BOX 88 M60 1QD, UK
Presented at: 6th ICIFS, Varna, 13—14 Sept 2002
Published in: Conference proceedings, "Notes on IFS", Volume 8 (2002) Number 3, pages 95—100
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Abstract: This paper presents an intuitionistic fuzzy generalized net model of a transaction database system with continuous deadlock detection, which uses the 2PL protocol. We define probabilities for a transaction to be granted a requested lock, held back by another transaction or deadlocked, which are integrated with the intuitionistic fuzzy predicates. We can use this model to simulate transaction processing and to analyze the efficient time for useful work and the time wasted in holding back transactions.
Keywords: Intuitionistic fuzzy generalized nets, Database, Deadlock detection
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