Two-stage instance layer data integration approach based on fuzzy priority
A data integration and prioritization technology, applied in the field of data integration, can solve the problem that integration efficiency and result accuracy cannot be balanced at the same time
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[0054] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.
[0055] Such as figure 1 As shown, the two-stage instance-level data integration method based on fuzzy priority is divided into five steps:
[0056] Step 1, establish a fuzzy priority model. This method uses three priority indicators to describe the distributed storage nodes to which records belong, including three indicators of confidence, availability and error, and uses fuzzy processing for them. For each index, seven qualitative judgment standards are adopted, and then quantified by triangula...
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