Issue:Conflicting situations in flexible systems

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Title of paper: Conflicting situations in flexible systems Author(s): Panagiotis Chountas Department of Computation, UMIST, PO Box 88, Manchester M60 1QD, UK chountap@sna.co.umist.ac.uk    (current: P.I.Chountas@westminster.ac.uk) Ilias Petrounias Department of Computation, UMIST, PO Box 88, Manchester M60 1QD, UK ilias@sna.co.umist.ac.uk Krassimir Atanassov CLBME - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., BI. 105, Sofia-1113, BULGARIA krat@bgcict.acad.bg    (current: krat@bas.bg) Published in: Notes on Intuitionistic Fuzzy Sets, Volume 7 (2001), Number 4, pages 49—57 Download:  PDF (11616  Kb, File info) Abstract: This paper is presenting a way of integrating conflicting temporal information from multiple information providers. It is shown that uncertain information can arise when the provider integration process through a global query mechanism requires information not directly presented in the community of information providers. This occurs for two reasons mainly: I) Query selection predicates are directing to level concepts that are at a lower level than those that do exist in the instance level of the database. II) An element in the query selection predicate is a member of more than one high level concepts. A way of integrating conflicting temporal information from multiple information providers considering a property-based resolution is presented. Given are the intuitionistic fuzzy interpretations of the temporal information. References: Motro A, Anokhin P, Berlin J, Intelligent Methods in Virtual Databases, Proceedings of the Fourth International Conference on Flexible Query Answering Systems, FQAS 2000, PhysicaVerlag Heidelberg, October, 2000, Warsaw Poland Hull R, Managing Semantic Heterogeneity in Databases: A Theoretical Perspective. PODS 1997: 51-61, Proceedings of the Sixteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, May 12-14, 1997, Tucson, Arizona Lim E, Sristava, J, Prabhakar S, Richardson J, Entity Identification Problem in Database Integration, Proceedings of the 9"" IEEE, Data Engineering Conference, JEEE Computer Society Press April 1993, Vienna, Austria Chountas, P, Petrounias, I., Representation of Definite, Indefinite and Infinite Temporal Information, Proceedings of the 4th International Database Engineering & Applications Symposium (IDEAS'2000), EEE Computer Society Press, September 2000, Japan. Koubarakis M, Database Models for Infinite and Indefinite Temporal Information, Information Systems, Vol. 19, No. 2, pages 141-173, 1994 Chountas, P, Petrounias, I, Modelling and Representation of Uncertain Temporal Information, Requirements Engineering Journal, 5(3), pp 144-156, Springer Verlag, 2000. Lakshmanan L.V.S, Leone R, Subrahmanian V. S, ProbView: A Flexible Probabilistic Database System, ACM Transactions on Database Systems, Volume 22, No. 3 (Sep. 1997) Baldwin J. F, Evidential Support Logic Programming” Fuzzy sets and Systems, 24, pp 1-26, 1987 C. Dyreson, R. Snodgrass, Support Valid-Time Indeterminacy, ACM Transactions on Database Systems, Vol. 23, No. 1, pp. 1-57, 1998 Atanassov, K., G. Gargov. Elements of intuitionistic fuzzy logic. I. Fuzzy sets and Systems Vol. 95, 1998, No. 1, 39-52. Atanassov K., Remark on a temporal intuitionistic fuzzy logic. Second Scientific Session of the "Mathematical Foundation Artificial Intelligence" Seminar, Sofia, March 30, 1990, Preprint IMMFAIS-1-90, Sofia, 1990, 1-5. Atanassov, K. Intuitionistic Fuzzy Sets. Springer-Verlag, Heidelberg, 1999. Atanassov K., Remark on intuitionistic fuzzy expert systems, BUSEFAL, Vol. 59, 1994, 71-76. Atanassov, K. Generalized Nets in Artificial Intelligence. Vol. 1: Generalized nets and Expert Systems."Prof. M. Drinov" Academic Publishing House, Sofia, 1998 Citations: The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.