A Fuzzy Based Matrix Methodology for Evaluation
and Ranking of Data Warehouse Conceptual Models Metrics
Naveen Dahiya1,
Vishal Bhatnagar2, and Manjeet Singh3
1Maharaja
Surajmal Institute of Technology, C-4, Janakpuri, India
2Ambedkar
Institute of Advanced Communication Technology and Research, India
3YMCA
University of Science and Technology, Sector-6, India
Abstract: The authors present a methodology for ranking data
warehouse conceptual models metrics based on opinion of experts using fuzzy
inference technique. The fuzzy based approach gives a precise ranking
methodology due to its ability to handle imprecise data involved in ranking of
metrics and ambiguity involved in expert decision making process. The proposed
work aims towards ranking of quality metrics already proposed and validated by
Manuel Serrano along certain identified parameters based on expert opinion and
evaluation of criteria matrix using permanent function. The results obtained
are also compared with the actual experts ranking. The achieved results are
better as the imprecise human thinking is taken into consideration during
calculation of results to give realistic results.
Keywords: Fuzzy, data warehouse, conceptual models, quality
metrics, criteria matrix.
Received October 23, 2014; accepted July 7, 2015
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