A Methodology for Creating a Conceptual Model Under Uncertainty

This article deals with the conceptual modeling under uncertainty. First, the division of information systems with their definition will be described, focusing on those where the construction of a conceptual model is suitable for the design of future information system database. Furthermore, the disadvantages of the traditional approach in creating a conceptual model and database design will be analyzed. A comprehensive methodology for the creation of a conceptual model based on analysis of client requirements and the selection of a suitable domain model is proposed here. This article presents the expert system used for the construction of a conceptual model and is a suitable tool for database designers to create a conceptual model.

• Bogdan Walek
• Jiri Bartos
• Cyril Klimes

• Conceptual model
• conceptual modeling
• database
• methodology
• uncertainty
• information system
• entity
• attribute
• relationship
• conceptual domain model
• fuzzy.

[1] V. ┼ÿepa, Anal├¢za a n├ívrh informa─ìn├¡ch systém┼». EKOPRESS, Praha
1999, pp. 146-159.
[2] C. Batini, S. Ceri, S. Navathe, Conceptual database design: an entityrelationship
approach. The Benjamin/Cummings Publishing Company,
Inc., Redwood City, 1992, ch. 1,2,3,4.
[3] S. Lauesen, Software Requirements: Styles and Techniques. Addison-
Wesley Professional, Glasgow, 2002, ch. 1,2,3.
[4] C. Klimeš, "Model of adaptation under indeterminacy", In Kybernetika,
Vol.47 (2011) No.3, Prague 2011, pp. 355 - 368.
[5] B. Walek, C. Klimes, "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, 2012, pp. 83492Z-83492Z-5.
[6] Toad Data Modeler, http://modeling.inside.quest.com/index.jspa, 2012.
[7] P. Atzeni, V. De Antonellis, Relational Database Theory. The
Benjamin/Cummings Publishing Company, Inc., Redwood City, 1993,
ch. 1.
[8] A. Olivé, Conceptual modeling on information systems. Springer-Verlag
Berlin Heidelberg, New York 2007, ch. 1.