The use of intuitionistic fuzzy cube and operators in treating imprecision in data repositories
Traditional data repositories introduced for the needs of business pro-cessing, typically focus on the storage and querying of crisp domains of data. As a result, current commercial data repositories have no facilities for either storing or querying imprecise/ approximate data.
No significant attempt has been made for a generic and application- independent representation of value imprecision mainly as a property of axes of analysis and also as part of dynamic environment, where poten-tial users may wish to define their “own” axes of analysis for querying either precise or imprecise facts. In such cases, measured values and facts are characterised by descriptive values drawn from a number of dimen-sions, whereas values of a dimension are organised as hierarchical levels.
In this paper, an extended multidimensional model named IF-Cube is put forward, which allows the representation of imprecision in facts and dimensions and answering of queries based on imprecise hierarchical preferences.
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