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This paper studies discriminant modeling method of compositional data. By adopting logratio transformation of compositional data and then implementing Fisher discriminant modeling method to the transformed data, the logcontrast linear discriminant function of compositional data is derived. The model presents the following advantages: i) the transformed data, which is scaled up to a broader range of...
Discretization of continuous-valued attributes is always one of the key problems in rough sets theory, a multiscale rough set model (MRSM) is developed that describes the discretization at multiple scales and analyzes the relation of classifications and certainty between scales. In view of the model's efficiency and effectiveness. an optimal scale can be acquired with self-organization, self-study...
As for simulating Crown-Width Model, the traditional linear models often disregard the spatial component of data. However, estimating a local model reveals that the influence of the independent variables is inconstant over the whole study area. In this research, classic linear regression was reviewed, and Geographically Weighted Regression (GWR) method which belongs to local estimation was introduced...
An empirical model of joint decisions of where to live and work, how to get to workplace demonstrates that individuals make residential location, workplace location and mode choices by trading off wages, housing prices, and commuting cost, mainly commuting time. In the sense that its formulation is especially appealing because of its intuitive way of capturing even complex structures, a generalised...
Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision-making units (DMUs) with multiple inputs and multiple outputs. Unascertained math is a useful tool for dealing with unascertained information. The unascertained theory was introduced to data envelopment analysis in this paper. A new model, which is called interval data envelopment analysis...
For the purpose of managing risk in inter-firm knowledge sharing process in supply chain, based upon the different role the enterprise who proposes knowledge sharing initially in knowledge sharing process, this paper divides inter-firm knowledge sharing activities into two different types: demand-pulled and supply-pushed knowledge sharing mode. Then, considering knowledge transfer and absorption capabilities,...
As a theoretical basis of computerized adaptive test, item response theory (IRT) has been the focus point of research on test theory of education at present and broken through the limitation of the classical test theory. The ability of examinee is related with his response in examination, and all of them are parameterized by IRT. At present, the research on computerized adaptive testing (CAT) based...
A number of studies have addressed the critical role of knowledge and its impacts on business organizations. This research explores the effects of knowledge attributes on knowledge management practices and along with their impacts on firm capabilities. The proposed path analytical model is tested using structural equation modeling. Results provide robust support for the notion that there are positive...
At present, several feature meta-models have been come up with. However, they can't meet the requirements of dynamic Internet environment or software reuse. This paper proposes a feature meta-model based on ontology. In particular, it can adapt to various types of changes in the dynamic environment and can make design and implementation more convenient than traditional methods. Finally, we give out...
To give consideration to both human intuitive understanding and the information processing requirement of text sentiment, this paper describes a new formal computational model of Chinese text sentiment. The model includes two parts: formal presentation and formal computing. The former is based on seven-basic sentiment categories, namely “happy”, “anger”, “sadness”, “fear”, “love”, “hate” and “desire”,...
Assessing concept similarity is an importance activity in ontology engineering. In this paper, a new similarity measure model is proposed, in which the information content of meet-irreducible elements is employed to evaluate the similarity degree of the two concepts of concept lattice. The proposed method combines featural and structural information into decision and preserves more structure information...
Fuzzy error matrix based on fuzzy error logic is used to express current status u, expectant status u1 and transformation matrix T. It is u,u1, and T that are used to build fuzzy error matrix equation T(u)=u1. It allows us to find a method that bad status “u” change to good status “u1” by solving equation. The purpose of solving fuzzy error matrix equation is to get a decision support about how to...
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