Fuzzy supply and demand matching method based on prediction

Abstract

The invention provides a fuzzy supply and demand matching method based on prediction. The fuzzy supply and demand matching method comprises the following steps: 1, initializing a supply and demand environment; 2, clustering supply and demand hierarchy; 3, performing prediction model training and supply and demand change prediction; 4, eliminating supply and demand offset inertia; 5, pairing supplyand demand clusters; 6, matching supply and demand cluster pairs; 7, judging the scale of supply and demand units; 8, preferentially matching supply and demand; 9, matching the remaining units; 10, promoting priority. According to the method, the prediction capability of a long-term and short-term memory network, the description capability of fuzzy mathematics, the task simplification capabilityof hierarchical clustering, the optimization capability of reinforcement learning and a queue jumping mechanism based on priority ranking are utilized, the problems of high supply and demand matchinguncertainty, large inertia in the supply and demand matching change process, low supply and demand matching efficiency, disordered supply and demand matching and the like are solved.

Description

technical field [0001] The invention relates to a matching method, specifically a supply and demand matching method, and belongs to the technical field. Background technique [0002] With the continuous improvement of human living standards, the continuous enrichment of production materials, the acceleration of the flow of capital and materials, the matching of supply and demand in various fields has become more frequent. Supply and demand are always constantly adapting to each other. However, supply and demand are dynamic and cannot remain the same all the time. Therefore, there will always be a reality of oversupply or undersupply. When there is a mismatch between supply and demand, it will cause certain losses. Therefore, how to maintain the balance between supply and demand as much as possible and how to achieve the matching of supply and demand efficiently and accurately are important issues that need to be solved in the process of supply and demand matching. [0003] ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a fuzzy supply and demand matching method based on prediction, which utilizes the prediction ability of long short-term memory network, the description ability of fuzzy mathematics, the task simplification ability of hierarchical clustering, the optimization ability of reinforcement learning and the priority sorting The queue-jumping mechanism solves the problems of high uncertainty in supply and demand matching, large inertia in the process of supply and demand matching changes, low efficiency of supply and demand matching, disordered supply and demand matching, etc.

Images