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Tea price evaluation is a key issue in the process of tea trade. The traditional tea price evaluating methods mainly depend on the experience of tea experts. The evaluating results using these methods are usually unstable and imprecise. So far, how to develop an automatic tea price evaluating system is still a challenging work. In this paper, we propose a data-mining-based tea price evaluation framework,...
Along with the development of electronic and intelligence in the world's stock market advances, the accumulation of the stock data grows larger over time. It is of great concern on the ways to find the hidden rules of information in the mass of data. Given the background above, this paper explores the methods of data mining by using the combination of Decision tree algorithm and Clustering algorithm...
Traceability between development artefacts and mainly from and to requirements plays a major role in system lifecycle, supporting activities such as system validation, change impact analysis, and regulation compliance. Many researchers have been working on this topic and have published their work throughout the editions of the Requirements Engineering Conference. This paper aims to analyse the research...
An important question is how to determine if a person is exhibiting suicidal tendencies in behavior, speech, or writing. This paper demonstrates a method of analyzing written material to determine whether or not a person is suicidal. The method involves an analysis of word frequencies that are used in a fuzzy cognitive map. The fuzzy cognitive map determines if there are suicidal tendencies. The method...
The discovery of motifs in biosequences is frequently torn between the rigidity of the model on one hand and the abundance of candidates on the other hand. In particular, motifs that include wild cards or “don't cares” escalate exponentially with their number, and this gets only worse if a don't care is allowed to stretch up to some prescribed maximum length. In this paper, a notion of extensible...
First, this article looked back upon the channels that the stock market affects the real estate's disbursement and made a brief literature summary on the effect that the stock market brings about to the real estate's disbursement. Next, the article put up a linear model on the basis of Modigliani life cycle model, which shows the stock market's effect on the real estate's disbursement, and carried...
In this paper, a hybrid network consisting of a trigonometric functional link artificial neural network (FLANN) and fuzzy logic system named as functional link neural fuzzy (FLNF) model is used to predict the stock market indices. The proposed model uses a functional link neural network to the consequent part of the fuzzy rules. The consequent part of FLNF model is a non-linear combination of input...
it is obtained through the Guangdong primary energy consumption and financial development compared to the testing of Granger causality: energy consumption is Granger reason of the development of financial, however, the financial development is not the Granger reason of the energy consumption. It shows that: the various financial institutions in Guangdong implementing the national energy policy has...
In this paper, we propose a new diagnostic checking tool for fuzzy rule-based modelling of time series. Through the study of the residuals in the Lagrange multiplier testing framework we devise a hypothesis test which allows us to determine if there is some left autocorrelation in the error series. This is an important step towards a statistically sound modelling strategy for fuzzy rule-based models.
A formal approach to select tests for regression testing of changes performed in a system evolution step is proposed. Systems are modeled as extended finite state machines (EFSMs) supporting several commonly used data types including Booleans, numbers, arrays, queues and records. Tests are described using a sequence of input and expected output messages with concrete parameter values. Changes add/delete/replace...
Artificial searching swarm algorithm (ASSA) is a novel optimization algorithm. This paper presents the comparison results on the performance of the ASSA for solving constrained optimization problems. The penalty function method and non-parameter penalty method are applied to a set of constrained problem. The simulation results show that ASSA is an efficient algorithm for constrained optimization problems.
According to literature review and a number of market research, there is an analysis about the characteristics of the domestic fragrance market. And then through the research on the consumption habits and attitudes, the result of qualitative and quantitative analysis based on the Logistic Model concludes the impact of the factors in four aspects on the willingness of purchasing perfume. According...
This paper aims to develop a decision rule-based model of household car ownership by using household travel survey data. The rough set approach as one of data mining techniques provides an effective tool to model the presented data set with decision rule sets. In this paper, the outputted “if-then” rules show the significant relationships between car ownership type and household characteristics. The...
Maximum likelihood recursions of Wu can be used to estimate extreme percentiles of a dose-quantal effective curve. For certain choices of initial designs, Wu's method performs well. In bioassay, there often exist some different initial designs which are known as the up-and-down designs. Based on the existing data set from such a design, we propose three sequential empirical Bayesian designs by quickly...
This article constructed a measurement model of human resource management quality (HRMQ) from the perspective of total quality management (TQM) and enterprise internal service management quality, testing the validity of the model based on 326 enterprises' samples which collected by a questionnaire developed by the author independently. The result showed that HRMQ could be appraised form the level...
This paper introduces the extreme value theory (EVT) of VaR into the research on the price risk of Chinese soybean spot market and American soybean future market. As some improvement, this paper introduces partial regression coefficient, clustering and runs test into the threshold value model. On base of extreme value theory threshold value model can do quantitative management well for extreme price...
This paper presents a new technique for action recognition in video using human body part-based approach, combining both local feature description of each body part, and global graphical model structure of the human action. The human body is divided into elementary points from which a Decomposable Triangulated Graph will be built. The temporal variation of human activity is encoded in the velocity...
This paper describes a model for capturing service designs and the design of service product lines. The model promotes reuse of service artifacts, enables a balanced view of the service from different stakeholder viewpoints, and provides a foundation for design for service quality. The model leverages a phased approach to design, engineering and management of services. The model has applicability...
Test case generation can be represented as a model checking problem, such that model checking tools automatically generate test cases. This has previously been applied to testing techniques such as coverage criteria, combinatorial testing, mutation testing, or requirements testing, and further criteria can be used similarly. However, little comparison between the existing techniques has been done...
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