Grey correlation theory is an uncertainty analysis method, which can find the relevance of various factors studied through certain data processing in incomplete information and main influencing factors. In order to study influence vehicle load on vibration underground civil air defense construction, taking construction at intersection Zhongzhou Middle Road Shachang South Luoyang as subject, bas...

This document explains algorithms and basic operations of knowledge structures and knowledge spaces available in R through the kst package. Knowledge Space Theory (Doignon and Falmagne, 1999) is a set-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The most basic assumption of knowledge space theory is that every knowl...

Based on Vector Quantization (VQ), a Grey-based Competitive Learning Network (GCLN) in the Mean value / Difference value Transform (MDT) domain is proposed. In this paper, the grey theory is applied to a two-layer Modify Competitive Learning Network (MCLN) in order to generate optimal solution for VQ. In accordance with the degree of similarity measures between training vectors and codevectors,...

The aim of this work is the identification of software project quality performance measures that would enable valid comparison and ranking of the completed projects. Software projects can be characterized by a set of influence factors. A subset of the influence factors is relevant for software project quality. In order to predict and determine the ranking of software projects by their success, ...

The classic dynamic decision making methods mainly focus on aggregating the existing attribute values, not considering the development trend of alternatives through the whole period. Both the two aspects should be taken into account for reflecting the dynamic nature comprehensively. This paper is to present a dynamic grey target method from a new viewpoint, where the attribute values take the f...

Voxel-based morphometry (VBM) is commonly used to study systematic differences in brain morphology from patients with various disorders, usually by comparisons with control subjects. It has often been suggested, however, that VBM is also sensitive to variations in composition in grey matter. The nature of the grey matter changes identified with VBM is still poorly understood. The aim of the cur...

Due to people's increasing dependence on social networks, it is essential develop a consensus model considering not only their own factors but also the interaction between people. Both external trust relationship among experts and internal reliability of are important in decision-making. This paper focuses improving scientificity effectiveness decision-making presents combining expert network g...

The k-tuple domination problem, for a fixed positive integer k, is to find a minimum size vertex subset such that every vertex in the graph is dominated by at least k vertices in this set. The case when k 2 is called 2-tuple domination problem or double domination problem. In this paper, the 2-tuple domination problem is studied on interval graphs from an algorithmic point of view, which takes ...