Daniel Fasel
Daniel Fasel's book offers a fuzzy classification approach for data warehouses, enabling business users to interpret complex numeric values in meaningful, non-numeric terms and perform simultaneous fuzzy and crisp analysis.
Business users often encounter significant difficulty in accurately interpreting the raw numeric values retrieved from traditional data warehouses. Without the necessary context or specialized domain knowledge, these quantitative figures can be ambiguous and prone to misinterpretation, hindering effective decision-making. To overcome this, business users frequently require these numeric values to be translated into more meaningful, non-numeric, linguistic terms that align better with human intuition and business language. However, a critical problem emerges if the transitions between these non-numeric terms are defined with rigid, 'crisp' boundaries. Such sharp divisions make it impossible to capture the true underlying nuances of values and preclude a smooth, gradual transition between different data classes, thereby losing valuable information. This book directly addresses this challenge by introducing a robust fuzzy classification-based approach specifically designed for data warehouse environments. Furthermore, it presents an innovative modeling strategy for fuzzy data warehouses, enabling the seamless integration of fuzzy linguistic variables into a flexible meta-table structure. The core benefit of this meta-table design is its ability to embed fuzzy concepts directly within the existing dimensions and facts of a classical data warehouse without requiring any fundamental modifications to its original structure. This non-invasive integration facilitates a powerful dual analytical capability, allowing for simultaneous analysis through both crisp, precise measurements and intuitive, fuzzy linguistic interpretations. The practical applicability and effectiveness of this comprehensive approach are underscored and exemplified through a detailed case study involving a movie rental company.
Authors: Daniel Fasel
Publication date: 08-07-2014
Language: en
Pages: 252
Rating: No data
Fuzzy Data Warehousing for Performance Measurement, written by Daniel Fasel and published on 08-07-2014, is included in our catalog for information queries and ebook downloads in epub or pdf format.