Abstract
This article generalizes object-oriented dynamic networks to the fuzzy case, which allows one to represent knowledge on objects and classes of objects that are fuzzy by nature and also to model their changes in time. Within the framework of the approach described, a mechanism is proposed that makes it possible to acquire new knowledge on the basis of basic knowledge and considerably differs from well-known methods used in existing models of knowledge representation. The approach is illustrated by an example of construction of a concrete fuzzy object-oriented dynamic network.
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References
L. A. Zadeh, “Fuzzy sets,” Information and Control, 8, No. 3, 338–353 (1965).
K. S. Leung and M. H. Wong, “Fuzzy concepts in an object oriented expert system shell,” International Journal of Intelligent Systems, 7, No. 2, 171–192 (1992).
F. Berzal, N. Marin, O. Pons, and M. A. Vila, “Managing fuzziness on conventional object-oriented platforms,” International Journal of Intelligent Systems, 22, No. 7, 781–803 (2007).
N. Marin, O. Pons, and M. A. Vila, “Fuzzy types: A new concept of type for managing vague structures,” International Journal of Intelligent Systems, 15, No. 11, 1061–1085 (2000).
T. D. Ndousse, “Intelligent systems modeling with reusable fuzzy objects,” International Journal of Intelligent Systems, 12, No. 2, 137–152 (1997).
D. O. Terletskyi and A. I. Provotar, “Object-oriented dynamic networks,” in: G. Setlak and K. Markov (eds.), Computational Models for Business and Engineering Domains, ITHEA, Rzeszow (2014).
D. A. Terletskyi and A. I. Provotar, “Fuzzy object-oriented dynamic networks. I,” Cybernetics and Systems Analysis, 51, No. 1, 34–40 (2015).
Z. M. Ma, W. J. Zhang, and W. Y. Ma, “Extending object-oriented databases for fuzzy information modeling,” Journal Information Systems — Databases: Creation, Management and Utilization, 29, No. 5, 421–435 (2003).
F. Zhang and Z. M. Ma, “Construction of fuzzy ontologies from fuzzy UML models,” International Journal of Computational Intelligence Systems, 6, No. 3, 442–472 (2013).
G. Bordogna, G. Pasi, and D. Lucarella, “A fuzzy object-oriented data model for managing vague and uncertain information,” International Journal of Intelligent Systems, 14, No. 7, 623–651 (1999).
B. Stroustrup, The C++ Programming Language: Fourth Edition, Addison-Wesley, Upper Saddle River (N.J.) (2013).
I. Graham and P. L. Jones, “A theory of fuzzy frames: Part 1,” Bulletin for Studies and Exchanges on Fuzziness and its Applications, No. 31, 109–132 (1987).
I. Graham and P. L. Jones, “A theory of fuzzy frames: Part 2,” Bulletin for Studies and Exchanges on Fuzziness and its Applications, No. 32, 120–135 (1987).
R. J. Brachman and H. J. Levesque, Knowledge Representation and Reasoning, Morgan Kaufmann, San Francisco (2004).
M. Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems, 2nd Edition, Addison-Wesley, Harlow (2004).
D. O. Terletskyi and O. I. Provotar, “Mathematical foundations for designing and development of intelligent systems of information analysis,” Problems in Programming, Nos. 2–3, 233–241 (2014).
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Translated from Kibernetika i Sistemnyi Analiz, No. 1, January–February, 2016, pp. 42–49.
*The first part of this paper was published in No. 1, 2015.
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Terletskyi, D.A., Provotar, A.I. Fuzzy Object-Oriented Dynamic Networks. II* . Cybern Syst Anal 52, 38–45 (2016). https://doi.org/10.1007/s10559-016-9797-2
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DOI: https://doi.org/10.1007/s10559-016-9797-2