Ho, Chung-Han; Chang, Ping-Teng; Hung, Kuo-Chen; Lin, … - In: Industrial Management & Data Systems 119 (2019) 3, pp. 561-577
Purpose: The purpose of this paper is to develop a novel intuitionistic fuzzy seasonality regression (IFSR) with particle swarm optimization (PSO) algorithms to accurately forecast air pollutions, which are typical seasonal time series data. Seasonal time series prediction is a critical topic,...