Multi-value chain collaborative evaluation system and method based on spatial decomposition enhancement

A technology of spatial decomposition and evaluation method, applied in the field of data intelligence of multi-value chain collaborative evaluation, can solve the problems of unscientific, lack of calculation method of enhancement coefficient, poor ability, etc., to achieve the effect of improving the overall level

Pending Publication Date: 2022-03-22
CHENGDU TECHCAL UNIV +4
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Problems solved by technology

[0005] However, in order to achieve such evaluation enhancement, we face the following problems: ① C don't know E 1 , E 2 , E 3 exist A , B Specific index scores in the evaluation process;② A , B There are differences in the evaluation system, for example E 1 , E 2 The rankings in the two evaluations are different, so it is difficult to de...

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  • Multi-value chain collaborative evaluation system and method based on spatial decomposition enhancement
  • Multi-value chain collaborative evaluation system and method based on spatial decomposition enhancement

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Embodiment Construction

[0049] The present invention is further detailed in connection with the examples, but the embodiments of the present invention are not limited thereto.

[0050] See figure 1 As shown, a multi-value chain coordination evaluation method based on spatial decomposition enhancement, including:

[0051] S1. For those who have been evaluated, they have participated in about 0 to n- Scene in the evaluation system, the first n Evaluation of review K n Before getting n -1 review all the evaluators K i Set the evaluation weights vector w i = w i1 , w i2 , ..., w im () i = 1, 2, ..., n -1), and get the evaluator winner collection E i ( i = 1, 2, ..., n -1);

[0052] Among them, where the evaluation weights vector w i = w i1 , w i2 , ..., w im () i = 1, 2, ..., n -1) can be by the evaluator K i According to its preferences for different indicators.

[0053] And evaluators K i Can set the desired K i The number of winners i = 1, 2, ..., n -1).

[0054] The above indicator score method can be an...

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Abstract

The invention discloses a multi-value chain collaborative evaluation system and method based on spatial decomposition enhancement, and aims at a scene in which an evaluated person participates in evaluation of a plurality of evaluation systems in sequence, under the condition of information asymmetry, according to sub-linear spaces formed by weight vectors in the first (n-1) evaluation systems and orthogonal complement spaces of the sub-linear spaces, projecting a weight vector vector sub-linear space and an orthogonal complement space of the nth evaluation system, performing linear decomposition on the projection of the sub-linear space by using a base formed by a maximum linear irrelevant group of a weight vector, quantitatively calculating an enhancement multiple, and enhancing the winner in the first n-1 evaluations, so as to partially realize the restoration of the hidden information, and the objectivity of the nth evaluation and the overall level of the winner are improved.

Description

Technical field [0001] The present invention relates to the technical field of multi-objective decision making, and more particularly to a data intelligence method for optimizing a spatial decomposition enhanced multi-value chain coordination evaluation using multiple existing multi-index weighted evaluation results. Background technique [0002] Multi-objective decisions and multi-target evaluation methods such as integrated scoring methods are very common; Obviously, for the same type of object (evaluated), different evaluators will have similar but different evaluation systems due to their own demand, showing the same Evaluation indicators, different weights; for example: multiple automotive assembly plans to evaluate suppliers from collaborative experience, product birth, quality methods, external purchases, production, and customer care, but the number of evaluation is different; [0003] Although multiple evaluation systems are different, they are all evaluated for the same...

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Application Information

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IPC IPC(8): G06Q10/06G06F17/12G06F17/17G06Q50/04
CPCG06Q10/06393G06F17/12G06F17/17G06Q50/04Y02P90/30
Inventor 沈益民王涛李蒙科严余松林冉孜侯冬陈峥于春雷
Owner CHENGDU TECHCAL UNIV
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