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

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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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 determine how to comprehensively consider these evaluation results;③ E 4 although not A , B qualified suppliers, but may not be participating at all A , B The evaluation of qualified suppliers, its ability is not necessarily bad, simply for E 1 , E 2 , E 3 Enhancement is not scientific; ④The enhancement coefficient lacks scientific calculation methods

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