On Spectral Analysis and New Research Directions in Grey System Theory
Date
2020-03-15
Advisors
Journal Title
Journal ISSN
ISSN
0957-3720
DOI
Volume Title
Publisher
Research Information Ltd
Type
Article
Peer reviewed
Yes
Abstract
Spectral analysis as a powerful mean to identify the characteristics of data series is introduced in this paper. The problems requiring further explorations in grey system theory are also identified. This includes discrimination of various factors of a data sequence in frequency domain, spectral analysis of various sequence operators, the synthesis axiom of degree of greyness for “multiplication” and “division” etc. Further, how to select and test a grey prediction model? How to select and test an inverse grey incidence analysis model? The test rules and criteria of grey clustering evaluation models, etc.
Description
The file attached to this record is the Publisher's version.
Keywords
Grey system theory, New research direction, Growth point, Spectrum analysis, Sequence operator, Operations of grey numbers, Grey prediction model, Grey incidence analysis model, Grey clustering evaluation model
Citation
Liu, S., Lin, C., Tao, L., Javed, S. A., Fang, Z. and Yang, Y. (2020) On spectral analysis and new research directions in grey system theory, Journal of Grey System, 32(1), pp.108-117.