Abstract
This paper proposes an Intuitionistic Fuzzy Dependency Framework (IFDF) model as a flexible tool for analyzing the cause and effect of events occurring in systems, where causation dependencies might be partial or vague. A core data model with basic operations is introduced. A static approach for dependency analyses is presented using traversals of the dependency graph. A dynamic approach using generalized nets as a simulation tool is also presented for the case of systems with temporal dependencies.
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References
Atanassov, K.: Intuitionistic Fuzzy Sets. Springer-Verlag, Heidelberg (1999)
Atanassov, K.: Generalized Nets. World Scientific, Singapore (1991)
Atanassov, K.: On Generalized Nets Theory. Prof. Marin Drinov Academic Publishing House, Sofia (2007)
Office of Government Commerce (OGC).: Service Delivery Book. The Stationery Office Publishing House, London (2005)
Ivanov, I., Kolev, B.: Intuitionistic fuzzy extensions to the information technology infrastructure library configuration management database. Notes Intuitionistic Fuzzy Sets 14(4), 34–40 (2008)
Kolev, B., Ivanov, I.: Fault tree analysis in an intuitionistic fuzzy configuration management database. Notes Intuitionistic Fuzzy Sets 15(2), 10–17 (2009)
Schuetze, R.: Intuitionistic fuzzy component failure impact analysis (IFCFIA)—A gradual method for SLA dependency mapping and bi-polar impact assessment. Notes Intuitionistic Fuzzy Sets 19(3), 62–72 (2013)
Kolev B.: An algorithm for transforming a graph to a generalized net. In: Proceedings of the First International Workshop on Generalized Nets, pp. 26–28, Sofia, 6 July 2000
Kolev, B.: An algorithm for transforming an intuitionistic fuzzy graph to an intuitionistic fuzzy generalized net. Notes Intuitionistic Fuzzy Sets 7(2), 61–62 (2001)
Popova B., Atanassov, K.: Opposite generalized nets. I. advances in modelling and analysis. AMSE Press 19(2), 15–21 (1994)
Popova B., K. Atanassov. Opposite generalized nets. II. advances in modelling and analysis. AMSE Press 19(2), 23–28 (1994)
Liu G.: Closures of intuitionistic fuzzy relations. In: Rough Sets and Knowledge Technology, Lecture Notes in Computer Science, vol. 5589, pp. 281–288 (2009)
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Kolev, B., Ivanov, I. (2016). Intuitionistic Fuzzy Dependency Framework. In: Angelov, P., Sotirov, S. (eds) Imprecision and Uncertainty in Information Representation and Processing. Studies in Fuzziness and Soft Computing, vol 332. Springer, Cham. https://doi.org/10.1007/978-3-319-26302-1_12
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DOI: https://doi.org/10.1007/978-3-319-26302-1_12
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