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Defining Fuzzy Membership Function for Fuzzy Data Warehouses | IEEE Conference Publication | IEEE Xplore

Defining Fuzzy Membership Function for Fuzzy Data Warehouses


Abstract:

Data warehouse is used in many organization as a tool to gain competitive advantage over their competitors. However, in most data warehouse implementations, lot of assump...Show More

Abstract:

Data warehouse is used in many organization as a tool to gain competitive advantage over their competitors. However, in most data warehouse implementations, lot of assumptions are made. By making assumptions, outcome of data warehouse is little far from the truth. Also, these assumptions will veracity of data warehouse is questionable. To avoid veracity of data warehouse, fuzzy logic can be incorporated. In fuzzy logic, fuzzy membership function plays a huge role hence in case of fuzzy data warehouse, fuzzy membership plays a key role as well. In data warehouse, different types of fuzzy membership functions can be introduced. arbitrary, data driven, linguistic, derived, survey-based membership functions are introduced in this research paper for different cases in data warehouse.
Date of Conference: 27-28 October 2018
Date Added to IEEE Xplore: 09 April 2020
ISBN Information:
Conference Location: Mangalore, India

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