Abstract
Imprecision in decision systems can negatively affect the data warehouse (DW) quality during a bad interpretation case. In order to evaluate the imprecision expression in decisional requirements and differently to our previous paper, we present an ontological solution using our GLMR ontology model for fuzzy connector evaluation in a query-based requirement. For simplification reasons, we present in this paper only “and if possible” fuzzy connector case. We will propose a new solution combining two recent existent solutions. Although the fuzzy connector assessment was already treated but, according to our knowledge, never in the decision need context and proposing an ontological solution. The preliminary tests of our ontological solution are encouraging.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Larbi, A., Malki, M., Boukhalfa, K.: Fuzzy ontology-based approach for the requirements query imprecision assessment in DW design process. NEAR negative Fuzzy operator. Int. J. Inf. Technol. Comput. Sci. 10(2), ISSN: 2074-9007(Print), ISSN: 2074-9015(Online) (2018). https://doi.org/10.5815/ijitcs.2018.02.03/IJITCS
Golfarelli, M., Rizzi, S.: From star schemas to big data: 20+ years of data warehouse research. In: Flesca, S., et al. (eds.) Studies in Big Data 31. Springer International Publishing AG (2018) https://doi.org/10.1007/978-3-319-61893-76
Larbi, A., Malki, M., Boukhalfa, K., Merzoug, A.: A survey of decisional requirements: imprecision study. In: JFSE 2017; Proceeding, ISSN 1613-0073, pp. 21–26 (2017)
Larbi, A., Malki, M.: Queries-based requirements imprecision study for data warehouse update: structural approach. In: 8th International Conference on Information Systems and Technologies Istanbul, Turkey, 16–18 March 2018, ACM ISBN 978-1-4503-6404-1 (2018). https://doi.org/10.1145/3200842.3200851
Tamani, N: Interrogation personnalisée des systèmes dédiés au transport: une approche bipolaire floue » Ph.D dissertion, Université de Rennes (2012)
Dubois, D., Prade, H.: Modeling and if possible AND or at least: different forms of bipolarity in flexible querying. In: Flexible Approaches in Data, Information and Knowledge Management, pp. 3–20. Springer International Publishing, Cham (2014)
Bosc, P., Pivert, O.: On four non-commutative fuzzy connectives and their axiomatization. Fuzzy Sets Syst. 202, 42–60 (2012)
Vucetic´, M., Hudec, M.: Accepted manuscript, a fuzzy query engine for suggesting the products based on conformance and asymmetric conjunction. J.: Expert. Syst. Appl. (2018). https://doi.org/10.1016/j.eswa.2018.01.049
Zahaf, A., Malki, M.: Methods for ontology alignment change. In: Handbook of Research on Contemporary Perspectives on Web-Based Systems (2018). https://doi.org/10.4018/978-1-5225-5384-7.ch011
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Larbi, A., Malki, M. (2020). Requirements Imprecision of Data Warehouse Design Fuzzy Ontology-Based Approach - Fuzzy Connector Case. In: Bouhlel, M., Rovetta, S. (eds) Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.1. SETIT 2018. Smart Innovation, Systems and Technologies, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-030-21005-2_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-21005-2_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-21004-5
Online ISBN: 978-3-030-21005-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)