Abstract
This paper addresses dynamics in diagnostic expert systems. The introduced dynamic statement network may be used not only in static diagnosing systems but also in dynamic monitoring systems. Within these networks, statements consist of contents and values. Statement values are based on a concept introduced in intuitionistic fuzzy sets, i.e. they contain independent belief about validity and invalidity of information presented by statement contents. The relationships between statements are modelled in the form of a set of necessary as well as sufficient conditions. The author compared requirements placed against static and dynamic statement networks and devised a manner in which a static network may be transformed into a dynamic one which, in turn, facilitates non-monotonic reasoning required for monitoring systems.
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References
Atanassov, K.T.: Intuitionistic Fuzzy Sets: Theory and Applications. Springer, Berlin Heidelberg (1999)
Bargiela, A., Pedrycz, W.: Granular Computing. An Introduction. Kluwer Academic Publishers, Boston (2003)
Cholewa, W.: Expert systems in technical diagnostics. In: Korbicz, J., Kościelny, J., Kowalczuk, Z., Cholewa, W. (eds.) Fault Diagnosis: Models, Artificial Intelligence, Applications, pp. 591–674. Springer, Berlin, Heidelberg (2004)
Cholewa, W.: Mechanical analogy of statement networks. Int. J. Appl. Math. Comput. Sci. 18(4), 477–486 (2008) DOI 10.2478/v10006-008-0042-7
Cholewa, W., Amarowicz, M., Chrzanowski, P., Rogala, T.: Development environment for diagnostic multimodal statement networks. Key Eng. Mater. 588, 74–83 (2014) DOI 10.4028/www.scientific.net/KEM.588.74
Jensen, V.J.: Bayesian Networks and Decision Graphs. Springer, New York (2002)
Pawlak, Z.: Information systems: Theoretical foundations. Informat. Syst. 6(3), 205–218 (1981)
Watanabe, S.: Pattern Recognition: Human and Mechanical. John Wiley & Sons, New York (1985)
Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufman, San Francisco (2005)
Acknowledgements
Described herein are selected results of study, supported partly from the budget of Research Task No. 4 implemented under The National Centre for Research and Development in Poland and ENERGA SA Strategic Program of Scientific Research and Development entitled Advanced Technologies of Generating Energy.
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Cholewa, W. (2014). Dynamical Statement Networks. In: Awrejcewicz, J. (eds) Applied Non-Linear Dynamical Systems. Springer Proceedings in Mathematics & Statistics, vol 93. Springer, Cham. https://doi.org/10.1007/978-3-319-08266-0_25
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DOI: https://doi.org/10.1007/978-3-319-08266-0_25
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