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Supply chain service multi-source heterogeneous data fusion method based on KANO-G1

A KANO-G1, multi-source heterogeneous data technology, applied in the direction of electronic digital data processing, digital data information retrieval, special data processing applications, etc., can solve problems such as complexity, reduction, and large amount of calculation in the weight distribution process, and achieve objective The effect of calculation volume

Pending Publication Date: 2022-07-08
TIANJIN UNIV
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Problems solved by technology

The analytic hierarchy process needs to construct a judgment matrix and conduct a consistency check, which makes the weight assignment process computationally intensive and complicated
The G1 analysis method assigns weights according to the relative importance of two indicators, and the calculation amount is doubled compared with the AHP, but the relative importance of the indicators is determined according to the results of expert scoring, which is subjective

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  • Supply chain service multi-source heterogeneous data fusion method based on KANO-G1
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  • Supply chain service multi-source heterogeneous data fusion method based on KANO-G1

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Embodiment Construction

[0015] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0016] The invention establishes a KANO-G1 multi-source heterogeneous data fusion model, including an index database module, a support degree calculation module, a KANO-G1 weight distribution module and a heterogeneous data fusion calculation module. The index database module is used for index selection and calculation. The collection and processing of indicator data realizes the integration of indicator data and eliminates the hetero...

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Abstract

The invention relates to a supply chain service multi-source heterogeneous data fusion method based on KANO-G1, which is used for fusing and integrating multi-source heterogeneous data, and comprises the following steps: 1) sorting demand data and summarizing data indexes to obtain a source data set; 2) according to different data categories, selecting corresponding triangular fuzzy numbers to calculate a support degree value of the data to a decision; 3) determining an index weight wi; and 4) calculating a fusion data value.

Description

technical field [0001] The invention relates to a multi-source heterogeneous data fusion method, in particular to a multi-source heterogeneous data fusion method based on KANO-G1. Background technique [0002] Data fusion is essentially the collaborative processing of data from multiple parties to reduce redundancy, synthesize complementarity and capture collaborative information. This technology has become a research hotspot in the fields of data processing, target recognition, situation assessment, and intelligent decision-making. In addition to numerical values, the representation of data also has other description forms such as language or symbols. Various descriptions lead to the ambiguity, difference and heterogeneity of data information in structure and semantics. The decision-making process needs to comprehensively consider various heterogeneous data information, and make the final decision through the fusion processing of the data information. At present, in the da...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06K9/62G06Q30/02
CPCG06F16/2462G06Q30/0201G06F18/2431G06F18/25Y02P90/30
Inventor 许晓鹄张越然牛占文郭伟王磊
Owner TIANJIN UNIV