The construction of new weakening buffer operators and their application

Abstract

Purpose

According to the basic principle of grey system and third axiom buffer operator, aiming at the problem of disturbance, some new weakening buffer operators are established by analytical skills in the process of prediction. The problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences is resolved effectively. An example shows that the kind of new weakening buffer operators increase the forecast precision of data forecast model remarkably. The aim of this paper is to attempt to resolve the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences.

Design/methodology/approach

In view of the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences, according to the basic principle of grey system and third axiom buffer operator, some new weakening buffer operators are established by analytical skills. As an example, the kind of new weakening buffer operators can increase the forecast precision of data forecast model remarkably.

Findings

The results show that the new weakening buffer operators can increase the forecast precision of data forecast model remarkably.

Practical implications

The new weakening buffer operators exposed in the paper can be used to resolve the problem of some contradictions between quantitative analysis and qualitative analysis existing in pretreatment for vibration data sequences and increase the forecast precision of data forecast model remarkably.

Originality/value

The paper succeeds in increasing the forecast precision of data forecast model remarkably.

Citation

Luo, D. and Wang, X. (2011), "The construction of new weakening buffer operators and their application", Grey Systems: Theory and Application, Vol. 1 No. 2, pp. 148-157. https://doi.org/10.1108/20439371111163774