基于新型核与灰度序列的MGM(1,m,N)模型及其应用

doi:10.16381/j.cnki.issn1003-207x.2019.1993

Abstract

Abstract: Haze is regarded as one of the important indicators of air quality evaluation. And accurate prediction and analysis of haze are considered toprovide theoretical support for relevant government departments to make correct decisions. Various kinds of suspended particles exceeding the standard in the atmosphere are collectively referred to as haze, and the influencing factors are divided into pollutant concentration and meteorological factors. This paper in which PM2.5 and PM10 are represented as suspended particles and SO2, CO, NO2 and O3are regarded as the relevant factors of pollutant concentration is mainly used to discuss the influence of pollutant concentration on suspended particles.

Key words: grey system; interval grey number; kernel and degree of greyness; MGM(1,m,N) model; haze

CLC Number:

N941.5

XIONG Ping-ping, CHEN Shi-ting, ZHOU Yi-fan, LIU Yu-chun, DING Song. MGM (1, m, N) Model Based on the New Kernel and Degree of Greyness Sequences and Its Application[J]. Chinese Journal of Management Science, 2022, 30(7): 130-139.

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MGM (1, m, N) Model Based on the New Kernel and Degree of Greyness Sequences and Its Application

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