Defining Fuzzy Membership Function for Fuzzy Data Warehouses

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 veraci...

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Published in:2018 4th International Conference for Convergence in Technology (I2CT) pp. 1 - 5
Main Authors: Asanka, Dinesh, Perera, Amal Shehan
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2018
Subjects:
Data models
Data warehouses
Data Warehousing
Fuzzy
Fuzzy logic
Industries
Linguistics
Membership Function
Warehousing
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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.
AbstractList 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.
Author Asanka, Dinesh
Perera, Amal Shehan
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  givenname: Amal Shehan
  surname: Perera
  fullname: Perera, Amal Shehan
  organization: University of Moratuwa,Department of Computer Science and Engeenring,Moratuwa,Srilanka
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Snippet Data warehouse is used in many organization as a tool to gain competitive advantage over their competitors. However, in most data warehouse implementations,...
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SubjectTerms Data models
Data warehouses
Data Warehousing
Fuzzy
Fuzzy logic
Industries
Linguistics
Membership Function
Warehousing
Title Defining Fuzzy Membership Function for Fuzzy Data Warehouses
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