Work

A Gray Model With a Time Varying Weighted Generating Operator

Year: 2015

Type: article

Abstract: A gray model with a time varying weighted generating operator is put forward in order to fully extract information concealed in recent data. This model increases the weight of new data and reduces the influence of some possible data fluctuation. The relationship between the sample size and the error from the inverse time varying weighted generating operator is discussed. Compared with traditional gray forecasting models, the results of the practical numerical examples demonstrate that this new model performs well in forecasting problems with limited data, and provides reliable and acceptable accuracy for future prediction.

Source: IEEE Transactions on Systems Man and Cybernetics Systems

DOI: 10.1109/tsmc.2015.2426133

Authors: Lifeng Wu, Sifeng Liu, Yingjie Yang

Institutions: Nanjing University of Aeronautics and Astronautics, De Montfort University

Language: English

Topic: Grey System Theory Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Nanjing University of Aeronautics and Astronautics