... that integrates machine learning with grey system theory to predict voluntary employee turnover. The developed method follows a six-step procedure, encompassing variable selection, data preparation, and model training. A grey cluster-based decision model is applied as an activation function within a novel machine...

...Nhu Ty Nguyen; Doan Khanh Trung Nguyen; Thanh Tuyen Tran Purpose This paper proposes a combined data envelopment analysis (DEA) model and Grey system theory to evaluate and forecast the business performance of the logistics industry in Vietnam. This approach provides managers, investors...

...Gülhan Toğa; Berrin Atalay; M. Duran Toksarı; Jeffrey Yi-Lin Forrest Purpose In this study, the grey system theory is used for the first time to eliminate the uncertainties in the line balancing problem of U-type assembly lines, which are the most sensitive lines that can be easily affected...

...Peng Jiang; Zhaohu Dong; Hong Sun; Yingchun Song; Qingqing Zou Purpose Supply chains, as prototypical uncertain systems, are crucial for national security and socioeconomic development. Grey system theory (GST) is an effective tool for addressing uncertainties and has played a pivotal role...

... for panel data. Naiming Xie can be contacted at: xienaiming@nuaa.edu.cn 14 04 2024 25 06 2024 20 07 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Grey system theory Grey relational analysis Coupling effect Panel data...

... 05 12 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Grey system theory Production line balance Interval grey number Simulated annealing algorithm The remaining parts of the paper are organized as follows. In Section 2 , we...

... proposes integration of grey system theory with a newly developed MCDM tool, i.e. mixed aggregation by comprehensive normalization technique (MACONT) to identify the best performing supplier for pharmaceutical items in a healthcare unit from a pool of six competing alternatives based on the opinions...

...Sifeng Liu; Yong Tao; Naiming Xie; Liangyan Tao; Mingli Hu Purpose The purpose of this paper is to summarize the advances in grey system theory research and various application achievements in science and engineering. At the same time, it commemorates the 40th anniversary of the birth of grey...

...Liangyan Tao; Ailin Liang; Naiming Xie; Sifeng Liu Purpose The year 2022 marks the 40th anniversary of the establishment of the grey system theory (GST), which has been widely applied in the engineering field. This paper aims to systematically identify the achievements, hotspots, knowledge...

.... Set original data sequence is { x ( t 1 ) , x ( t 2 ) , ⋯ , x ( t n ) } , if (1) y ( t k ) = ∑ j = 1 k x ( t j ) , j = 1,2 , ⋯ , n Grey system theory Grey forecasting model GM(1, 1) model GM (1, N) model...

... analysis methods of probability statistics, fuzzy mathematics, grey system theory and rough set theory have been introduced. The concepts of GUD and GUV for reliability growth data analysis of major aerospace equipment are proposed. The simplified form of GUV based on the “kernel” and the degree...

...Mingli Hu; Wenjie Liu Purpose As the grey systems theory has been widely used in the field of sustainable development (SD) research, in the following, a short literature overview will be put forward, starting from the usage of these theories in the economic development, social inclusion...

... Coronavirus daily cases in Sri Lanka Coronavirus COVID-19 Exponential smoothing GM (1, 1) model Grey system theory The Coronavirus (COVID-19) is one of the major pandemic diseases caused by a newly discovered virus that has been directly affecting the human respiratory system (WHO, 2020...

... data set learning is that the data pattern is not completely described when the sample size is small. To solve this problem, previous research has focused on the virtual sample generation (VSG) technique and grey system theory to propose some solutions. Forecasting Grey system theory Small data...

... and other similar flow shop scheduling problems. Social implications Uncertain processing time is common in flexible workshop manufacturing, and manual scheduling greatly restricts the production efficiency of workshop. In this paper, combined with grey system theory, an intelligent algorithm is used...

... (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode . Grey system theory Energy intensity forecasting Grey prediction model...

... 07 2020 17 07 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Grey prediction model with time power term Grey system theory The integral median theorem GDP Inner Mongolia Agricultural University KJCX2019037 KJCX2019027...

... , [ r ] P i ∓     ∀ [ r ] Grey system theory Grey number Single machine Scheduling Integer programming Earliness Tardiness Single machine earliness/tardiness scheduling problems have been investigated by researchers since 1970. There are N jobs...

...Erkan Kose; Danışment Vural; Gulcin Canbulut Purpose This study has two main objectives: (1) to expand the application areas of grey system theory and (2) to select the most livable city in Turkey. Design/methodology/approach Choosing the most livable city is a complex problem that requires...

... safety. The purpose of this paper is to provide a new and comprehensive measure based on conventional functional hazard analysis (FHA) and grey system theory to analysis and evaluate the class that each failure belongs to. Design/methodology/approach This paper integrates multiple methods including...