Explanation of terms of grey clustering evaluation models
Abstract
Purpose
The purpose of this paper is to present the terms of grey clustering evaluation models.
Design/methodology/approach
The definitions of basic terms about grey clustering evaluation models are presented one by one.
Findings
The reader could know the basic explanation about the important terms about various grey clustering evaluation models from this paper.
Practical implications
Many of the authors’ colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors.
Originality/value
It is a fundamental work to standardise all the definitions of terms for a new discipline. It is also propitious to spread and universal of grey system theory.
Keywords
Acknowledgements
This work was supported by a Marie Curie International Incoming Fellowship under the 7th Framework Programme of the European Union, entitled “Grey Systems and Its Application to Data Mining and Decision Support” (Grant No. FP7-PEOPLE-IIF-GA-2013 -629051). It is also supported by a joint project of both the NSFC and the RS of the UK entitled “Grey System Theory and Computational Intelligence” (71111130211), a project of the Leverhulme Trust International Network entitled “Grey Systems and Its Applications” (IN-2014-020), and a project of the National Natural Science Foundation of China (71671091). Also, the authors would like to acknowledge the support provided by the Fundamental Research Funds for Central Universities (NP2015208), the Foundation for National Outstanding Teaching Group of China (No. 10td128). The authors are deeply in debt to John Barrett who proofread the paper.
Citation
Liu, S. and Yang, Y. (2017), "Explanation of terms of grey clustering evaluation models", Grey Systems: Theory and Application, Vol. 7 No. 1, pp. 129-135. https://doi.org/10.1108/GS-11-2016-0046
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited