... category has been gathered to component k. At last, a novel two-stage decision model based on the group of weight vector with kernel and the weighted comprehensive clustering coefficient vector is put forward to solve the dilemma in grey clustering evaluation. Then the overall evaluation...

...Xiaozhong Tang; Naiming Xie Purpose The purpose of this paper is to construct a grey clustering evaluation model based on center-point mixed possibility function and to evaluate the tourism development potential of tea intangible cultural heritage. The research results provide a certain reference...

... Limited 2017 Emerald Publishing Limited Licensed re-use rights only Grey clustering evaluation Interval grey number Integral mean value function Triangular whitenization weight function In the era of information explosion, it makes sense to pay attention to the information properties...

...Sifeng Liu; Yingjie Yang 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...

...Jun Guo; Xi Zhao; Yimin Huang Purpose – The purpose of this paper is to establish a grey clustering evaluation model based on center-point triangular whitenization weight function to evaluate the situation of urban low-carbon transport development (LTD). The study results intend to provide some...

... Emerald Group Publishing Limited 2015 Practical applications of grey models Grey clustering evaluation Since professor Deng (1982) founded the grey system theory, which has unique advantages with small sample or poor information, it has attracted more and more attention in academic...

...Si-feng Liu; Yingjie Yang; Zhi-geng Fang; Naiming Xie Purpose – The purpose of this paper is to present two novel grey cluster evaluation models to solve the difficulty in extending the bounds of each clustering index of grey cluster evaluation models. Design/methodology/approach...

... the relationship between two sequences, denoted γ(x₀(k),x_i(k)). Step 4: find incidence coefficients: © Emerald Group Publishing Limited 2014 Practical applications of grey models Grey clustering evaluation Grey incidence analysis Grey...

...Tianbo Li; Ershi Qi; Yimin Huang Purpose – The purpose of this paper is to attempt to establish a grey clustering evaluation model of center-point triangular whitenization weight function to measure the performance of enterprise's management innovation (MI). The author intends to provide some...

... to evaluate the possibility of key technology. In all, 1-7 scale is used in evaluate the scale of the indexes values. Grey models for decision making Practical applications of grey models Grey clustering evaluation Innovation is the source power to improve a nation’s competitiveness. Generally...

... with the given confidence threshold β. © Emerald Group Publishing Limited 2014 Grey models for decision making Grey clustering evaluation Combined grey models As a theory of dealing with imprecise, uncertain or incomplete data, the rough set theory (RST) analyses incomplete...

... Classification Comprehensive assessment Grey clustering evaluation Regional innovation system Within a certain range. It is a systematic arrangement. Consist of five subsystems, including the subsystem of knowledge innovation with universities and research institutions as the core, the subsystem...