A data warehouse is no more a "nice-to-have" system in your system but it is an integral part of your data strategy to face up the fierce competition. In most of the time, we do crisp analytics in the data warehouse such as "High", "Low" etc. What about Linguistic analytics which is shown below.
By using Fuzzy techniques this was achieved. Read the research paper at IEEE.
By using Linguistic analytics, the following is the employee count for a different experience of employees in a factory.
This research is part of the Investigation and Development for Fuzzy Data Warehouse Project.
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