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Fuzzy gradual rules of the form the more X is A, the more Y is B linguistically express information about the correlation between attributes and their co-variation. They thus provide valuable information summarizing the trends observed in a given data set. In this paper, we consider strengthened fuzzy gradual rules, i.e. gradual rules enriched with a clause introduced by the expression “all the more”:...
The purpose of this paper is to study parameters estimations in linear regression model with AR(2) errors ??t = ??1??t-1 + ??2??t-2 - ??t, t = 1, 2,??, n in which the parameters have a special relationship ??2 = ??12. For the properties of variance-covariance matrix ?? , This kind of models are transformed into the standard linear regression models without autocorrelation errors and apply the method...
Based on dimensional analysis theory, the criterion equation of the flow of polymer solution through separate layer injection allocation of cylindrical cavity with a nozzle and a jet target is established; the viscosity loss regression formulae of the flow of polymer solution through separate layer injection allocation of cylindrical cavity with a nozzle and a jet target are obtained through regression...
Multiple regression method is used in this article to research the relationship between indicators of economic transformation and three industries' output value, in order to analyze the relationship between economic transformation and three industries and extent that the economic transformation affects the industrial development. In this article the data of Beijing from 1996 to 2006 is used for analyzing,...
540 female were measured by using photo and manual measuring methods. Among these people there are 317 young and 223 elder. By using the Matlab program, female's frontal and sided pictures were extracted and the outlines were got, from which the relevant height, thickness and width values could be drawn. Then construct the fitted equation of circumference by linear regression equation in two unknowns,...
Blind source extraction (BSE) may be an essential but a challenging task where multiple sources are convolved and/or time delayed. In this article we discuss the performance of multivariate calibration techniques that comprise of classical least square (CLS), inverse linear regression (ILS), principal component regression (PCR) and partial least square regression (PLS) in achieving this task in robust...
There is an increasingly concern with the use of retrospective power. Some researchers suggested calculating the retrospective power after conducting hypothesis testing, particularly in meta-analysis. They considered that retrospective power can be used to determine whether the sample size is sufficient in an experiment and that the combination of retrospective power and prior power can enhance the...
This paper presents a data oriented approach to modeling the complex computing systems, in which an ensemble of correlation models are discovered to represent the system status. If the discovered correlations can continually hold under different user scenarios and workloads, they are regarded as invariants of the information system. In our previous work, we have developed an algorithm to automatically...
Software companies are currently investing large amounts of money in software process improvement initiatives in order to enhance their products' quality. These initiatives are based on software quality models, thus achieving products with guaranteed quality levels. In spite of the growing interest in the development of precise prediction models to estimate effort, cost, defects and other project's...
The snow-covered information, including snow-covered area, snow depth and snow water equivalent have been extracted from the remote sensing imagery of CBERS-02 satellite over the area of Jiaodong Peninsula in west Shandong Province, one of the snowiest regions in China. Based on the pre-processing of remote sensing data of CBERS-02 imagery, the statistical analysis of spectral characteristics has...
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