Explanation of terms of grey clustering evaluation models

Date

2017

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.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)