Landslide disaster is a serious natural hazard next to earthquake and floodwater. It has brought about great losses to the economic and societal development worldwide. Aiming at the characteristics and requirements in the process of landslide treatment, an optimization algorithm of landslide treatment schemes selection is proposed by combining entropy weight grey incidence with DS evidence theo...

Abundant evidence suggests that self-esteem is an important personality resource for emotion regulation in response to stressful experiences. It was thus hypothesized that the relative grey matter volume of brain regions involved in responding to and coping with stress is related to individual differences in trait self-esteem. Using structural magnetic resonance imaging of 48 healthy adults in ...

Based on Grey System Theory and the inverted normal quality gain–loss function, grey function model is put forward. According to constant compensation hyperbolic tangent compensation, with nominal-type characteristics, larger-the-better characteristics smaller-the-better built. A multivariate multiple sub indexes concept of cost are proposed. Case analysis applied control dam concrete construct...

To coordinate the various access technologies in the 4G communication system, intelligent vertical handoff algorithms are required. This paper mainly deals with a novel vertical handoff decision algorithm based on fuzzy logic with the aid of grey theory and dynamic weights adaptation. The grey prediction theory (GPT) takes 4 sampled received signal strengths as input parameters, and calculates ...

In this paper, a new Grey-based Competitive Learning Network (GCLN) for Vector Quantization (VQ) and Spread GCLN (SGCLN) for color image compression in the Discrete Cosine Transform (DCT) and Mean value / Difference value Transform (MDT) domains are proposed. A spread-unsupervised scheme based on the competitive learning neural network using the grey theory is proposed so that on-line learning ...

assessing financial performance is one of the most important in functional domains, because financial information is considered for the basis of making decisions. organizations use various indexes for assessing performance in quantitative techniques. although these sorts of assessments provide useful information, but the comprehensive concept will never be concluded because of considering all t...

in competitive markets, the operations strategies of companies are normally formulated based on their competitive advantages. an effective operations strategy should maintain and improve competitive advantages based on the capabilities of the corporate operations resources. considering the market requirements and the operational performance of the rivals is the key for success and survival of a...

Prediction of alkalinity in sintering process is difficult. Whether the level of the alkalinity of sintering process is successful or not is directly related to the quality of sinter. There is no good method, prediction of alkalinity by high complexity, the present nonlinear, strong coupling, high time delay, so the recent new technology, grey least square support vector machine have been intro...

Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...

The biomass market has experienced an increase in development, leading to research and development efforts that are focused on determining optimal biofuel combustion conditions. Biomass combustion is a complex process that involves divergent parameters and thus requires the use of advanced analysis methods. This study proposes combining grey relational analysis (GRA) and error propagation theor...