... at: luoyongcong@126.com 15 01 2022 07 03 2022 29 03 2022 © Emerald Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Three-layer coupling network Industrial cluster feature Data analysis Complex network Optimization strategy High-quality...

.../methodology/approach The rough concept lattice (RCL), which is an effective tool for uncertain data analysis and knowledge discovery, reflects a kind of unification of concept intent and upper/lower approximation extent, as well as the certain and uncertain relations between objects and attributes...

... the packaging process are removed. Chips are put in an unfavorable environment, such as high acceleration in a spinner and high temperature‐thermal stress, to force unreliable chips to fail (Xiao, 2001). It is the final testing before delivery. Analytic hierarchy process Data analysis Supplier...

... to be much smaller than the new class ratio dispersion of sequence {b_k}_k=1ⁿ. Cybernetics Systems theory Data analysis The grey predictive model is one of the important tools in the grey system theory. Although the grey model...

... for a specification method based on decision tables to be integrated with state machines descriptions. Eiichiro Tazaki can be contacted at: tazaki@intlab.toin.ac.jp © Emerald Group Publishing Limited 2006 Set theory Data analysis Cybernetics Simulation Rough set method (Hassan and Tazaki...

... is based on the process of emergent computation (Gotts, 2000 ; Hassan and Tazaki, 2003a). It leads to enrichment of basic rough set notions by appropriate adaptation of constructs known from this approach to data analysis. This paper argues that rough set theory belongs to a unique class of problem...

... for numeric data, and to the mode for non‐numeric data. As noted by Simonoudis et al. (1995) , outliers of data also can severely impact the performance of a neural network model. Cybernetics Neural nets Data analysis Learning processes Artificial neural networks (ANNs) are often...

.... Cybernetics Statistical forecasting Data analysis Experimental data contain information from an unknown system. When the system is chaotic, people often use a chaotic attractor modeled from the data to calculate the fractal dimension (Frank et al., 1990), to control the unstable periodic...

... structure, demand and quality of scientist and technicians for the electronic industry. Cybernetics Statistical forecasting Data analysis We will use the factor reconstruction analysis (FRA) to research the law of talent demand development, because the statistic data about talent have...

... be applied for the decomposition of relations. © Emerald Group Publishing Limited 2004 Data analysis Cybernetics Boolean functions One general method to understand complex systems is to decompose the system in terms of less complex subsystems (Klir, 1985 ; Krippendorff, 1986...

..., improvement of platelet aggregate rate, perseverance of the subjects with the drugs and the side effect of the drugs. The trial data are listed in Table III . © Emerald Group Publishing Limited 2004 Cybernetics Relational databases Data analysis Medical administrative data processing Medical...

... are given. Data Analysis On the Role of Lag Selection The Role of Lag Selection in Minimum-Relative-Entropy Spectral Estimation Rallis C. Papademetriou School of Systems Engineering, Portsmouth Polytechnic, UK 35 Received February 1990 Introduction The topic of spectrum estimation concerns the problem...