Title: A fuzzy-based automatic prediction system for quality evaluation of conceptual data warehouse models

Authors: Naveen Dahiya; Vishal Bhatnagar; Manjeet Singh

Addresses: Department of CSE, MSIT, C-4, Janakpuri, New Delhi, India ' Department of CSE, AIACT&R, Geeta Colony, Delhi, India ' Department of CE, YMCA University of Science and Technology, Sector-6, Faridabad, Haryana, India

Abstract: In the paper, we present an automatic system based on fuzzy logic to predict the understanding time of conceptual data warehouse models. The system takes as input the values of quality metrics for a model and gives understanding time as output. The metrics used for quality evaluation have been proposed and validated by Manuel Serrano. The results of automatic system are compared with the results of actual data collection made manually. The predicted results are highly significant to prove the validity and efficiency of the designed automatic system.

Keywords: fuzzy logic; quality metrics; data warehouse; understanding time; conceptual models.

DOI: 10.1504/IJDATS.2018.094131

International Journal of Data Analysis Techniques and Strategies, 2018 Vol.10 No.3, pp.317 - 333

Received: 25 Apr 2016
Accepted: 31 Jan 2017
Published online: 17 Aug 2018 *

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