Explanation of terms of grey clustering evaluation models
Date
2017
Authors
Advisors
Journal Title
Journal ISSN
ISSN
2043-9377
Volume Title
Publisher
Emerald
Type
Article
Peer reviewed
Yes
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 our colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors .
Originality/value – It’s a fundamental work to standardize all the definitions of terms for a new discipline. It’s also propitious to spread and universal of grey system theory.
Description
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link
Keywords
Grey clustering using degree of grey incidence, Possibility function, Grey clustering with variable weights, Grey clustering with fixed weights, End-point mixed possibility functions for grey clustering evaluation, Center-point mixed possibility functions for grey clustering evaluation
Citation
Liu, S. and Yang, Y. (2017) Explanation of terms of grey clustering evaluation models. Grey Systems: Theory and Application, 7(1), pp.129-135.