Order of magnitude assimilation and weight setting

◆ assimilation of orders of magnitude between dimensions: the data acquisition formula and measurement unit of each dimension (factor) in the system may be different, so the size range of the quantity will be very different. After analysis, the quantity with a large quantity will have a great impact on the system results, otherwise it will be small. However, the actual situation is different. Therefore, the order of magnitude of each dimension (factor) should be the same through mathematical methods, That is, the maximum and minimum values of each dimension (factor) are the same.

◆ weight setting: each dimension (factor) data in the system has different effects on the system results. Give different weights to each dimension (factor) through experience and make it conform to the actual situation during analysis.