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Proceedings Paper

Fuzzy tool for conceptual modeling under uncertainty
Author(s): Bogdan Walek; Cyril Klimes
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Paper Abstract

This paper deals with the design of fuzzy tool for creating conceptual model under uncertainty. The paper identifies a problem in current approach of creating conceptual model of information system and suggests new methodics and tool for creating conceptual model, which can processes uncertain user requirements. The proposed tool uses a general model of the decision support system, that works with the vague input values and IF-THEN fuzzy rules, and creates a list of appropriate and acceptable solutions, and then allows to choose the best solution. In the proposed tool entities, attributes and relations between entitites in the resulting conceptual model are selected via a decision support system. In the paper we present six main parts of proposed tool, that generates suitable entities, attributes and relations between entities, then generates them to XML format and finally visualizes the resulting conceptual model. The created conceptual model illustrates the analysis of information system requirements. The proposed tool is shown on creating conceptual model of the hotel information system.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83492Z (13 January 2012); doi: 10.1117/12.920532
Show Author Affiliations
Bogdan Walek, Univ. of Ostrava (Czech Republic)
Cyril Klimes, Univ. of Ostrava (Czech Republic)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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