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Meteorological data quality evaluation method based on improved fuzzy analytic hierarchy process

A technology of meteorological data and fuzzy hierarchy, applied in the field of meteorological data quality assessment based on improved fuzzy analytic hierarchy process, can solve problems such as errors and achieve the effect of reducing data errors

Active Publication Date: 2020-06-26
DALIAN UNIV
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  • Application Information

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Problems solved by technology

However, this method is affected by subjective factors, and the results obtained may have errors from the actual values.

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  • Meteorological data quality evaluation method based on improved fuzzy analytic hierarchy process
  • Meteorological data quality evaluation method based on improved fuzzy analytic hierarchy process
  • Meteorological data quality evaluation method based on improved fuzzy analytic hierarchy process

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[0044] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0045] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention provides a meteorological data quality evaluation method based on an improved fuzzy analytic hierarchy process. The method comprises the following steps: solving some problems occurringin a meteorological data evaluation method at the present stage. Firstly, a three-layer meteorological data quality index system is established, the threshold value of each index is determined, on thebasis of a weighting mode combining a fuzzy analytic hierarchy process and a comparison value function, the weight is continuously optimized by using an optimization mode with satisfactory consistency and compatibility, and thus the final result is evaluated. Experimental result analysis shows that compared with a standard value, the error of the improved simulation result is greatly reduced andis very close to the standard value.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a meteorological data quality assessment method based on an improved fuzzy analytic hierarchy process. Background technique [0002] Meteorological data quality assessment is a very important assessment method in today's modern world operations, and it is also an important indicator that affects equipment testing during field operations. With the rapid development of urbanization and industrialization, the influence of meteorological environment on society has become more and more extensive, so the evaluation of meteorological data has become more and more important. In the quality assessment of meteorological data, many methods have emerged, but there are also some defects. [0003] In the document "Analysis and Evaluation of Meteorological Data Quality", a method based on the combination of real-time quality control and manual quality control of the MDOS platform is propos...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/10G06F30/20
CPCG06F17/10Y02A90/10
Inventor 邱少明王建伟杜秀丽刘庆利
Owner DALIAN UNIV