Fuzzy Modeling Tool for Creating a Component Model of Information System
This paper focuses on creating a component model of information system under uncertainty. The paper identifies problem in current approach of component modeling and proposes fuzzy tool, which will work with vague customer requirements and propose components of the resulting component model. The proposed tool is verified on specific information system and results are shown in paper. After finding suitable sub-components of the resulting component model, the component model is visualised by tool.
[1] J. Bartoš, B. Walek, P. Smolka, J. Procházka, C. Klimeš, Fuzzy
modeling tools for information system testing, 17th International
Conference on Soft Computing Mendel 2011, Brno 2011, pp. 154 -
161.
[2] C. Klimeš, Model of adaptation under infeterminacy. In Kybernetika,
Vol.47 (2011) No.3, Prague 2011, pp. 355 - 368.
[3] Walek, B., Klimes, C., "Fuzzy tool for conceptual modeling under
uncertainty" in Fourth International Conference on Machine Vision
(ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis,
edited by Zhu Zeng, Yuting Li, Proceedings of SPIE Vol. 8349 (SPIE,
Bellingham, WA 2012) 83492Z.
[4] B. Walek, C. Klimeš, Fuzzy tool for conceptual modeling under
uncertainty, Fourth International Conference on Machine Vision (ICMV
2011): Machine Vision, Image Processing, and Pattern Analysis,
Proceedings of SPIE Vol. 8349, Bellingham 2012.
[5] B. Walek, C. Klimeš, Conceptual modeling under uncertainty, 2nd
World Conference on Information Technology, Antalya 2011, to be
published.
[6] H. Habiballa, V. Nov├ík, A. Dvoř├ík, V. Pavliska, Using software
package LFLC 2000, 2nd International Conference Aplimat 2003,
Bratislava, 2003, pp. 355-358.
[7] B. Walek, J. Bartoš, C. Klimeš, Process-oriented component modeling
under uncertainty, 2nd World Conference on Information Technology,
Antalya 2011, to be published.
[8] B. Walek, C. Klimeš, Testing logical structure of the information
system database, International Conference on Business Intelligence and
Financial Engineering, Hongkong 2011, to be published.
[9] J. Procházka, C. Klimeš. Provozujte IT jinak: Agilní a štíhlÛ provoz,
podpora a ├║držba informa─ìn├¡ch systém┼» a IT služeb, Prague: Grada,
2011, ch. 8.
[1] J. Bartoš, B. Walek, P. Smolka, J. Procházka, C. Klimeš, Fuzzy
modeling tools for information system testing, 17th International
Conference on Soft Computing Mendel 2011, Brno 2011, pp. 154 -
161.
[2] C. Klimeš, Model of adaptation under infeterminacy. In Kybernetika,
Vol.47 (2011) No.3, Prague 2011, pp. 355 - 368.
[3] Walek, B., Klimes, C., "Fuzzy tool for conceptual modeling under
uncertainty" in Fourth International Conference on Machine Vision
(ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis,
edited by Zhu Zeng, Yuting Li, Proceedings of SPIE Vol. 8349 (SPIE,
Bellingham, WA 2012) 83492Z.
[4] B. Walek, C. Klimeš, Fuzzy tool for conceptual modeling under
uncertainty, Fourth International Conference on Machine Vision (ICMV
2011): Machine Vision, Image Processing, and Pattern Analysis,
Proceedings of SPIE Vol. 8349, Bellingham 2012.
[5] B. Walek, C. Klimeš, Conceptual modeling under uncertainty, 2nd
World Conference on Information Technology, Antalya 2011, to be
published.
[6] H. Habiballa, V. Nov├ík, A. Dvoř├ík, V. Pavliska, Using software
package LFLC 2000, 2nd International Conference Aplimat 2003,
Bratislava, 2003, pp. 355-358.
[7] B. Walek, J. Bartoš, C. Klimeš, Process-oriented component modeling
under uncertainty, 2nd World Conference on Information Technology,
Antalya 2011, to be published.
[8] B. Walek, C. Klimeš, Testing logical structure of the information
system database, International Conference on Business Intelligence and
Financial Engineering, Hongkong 2011, to be published.
[9] J. Procházka, C. Klimeš. Provozujte IT jinak: Agilní a štíhlÛ provoz,
podpora a ├║držba informa─ìn├¡ch systém┼» a IT služeb, Prague: Grada,
2011, ch. 8.
@article{"International Journal of Information, Control and Computer Sciences:53189", author = "Bogdan Walek and Jiri Bartos and Cyril Klimes and Jaroslav Prochazka and Pavel Smolka and Juraj Masar and Martin Pesl", title = "Fuzzy Modeling Tool for Creating a Component Model of Information System", abstract = "This paper focuses on creating a component model of information system under uncertainty. The paper identifies problem in current approach of component modeling and proposes fuzzy tool, which will work with vague customer requirements and propose components of the resulting component model. The proposed tool is verified on specific information system and results are shown in paper. After finding suitable sub-components of the resulting component model, the component model is visualised by tool.
", keywords = "Component, component model, fuzzy, fuzzy rules, fuzzy sets, information system, modelling, tool.", volume = "6", number = "4", pages = "446-4", }
