Using S-rough sets, this paper gives the concepts off-heredity knowledge and its heredity coefficient, and f-variation coefficient of knowledge; presents the theorem of f-attribute dependence of variation coefficient ...Using S-rough sets, this paper gives the concepts off-heredity knowledge and its heredity coefficient, and f-variation coefficient of knowledge; presents the theorem of f-attribute dependence of variation coefficient and the relation theorem of heredity-variation. The attribute dependence of f-variation coefficient and the relation of heredity-variation are important characteristics of S-rough sets. From such discussion, this paper puts forward the heredity mining off-knowledge and the algorithm of heredity mining, also gives its relative application.展开更多
As we are in the knowledge economy, the main purpose of this research is to define the value of relational capital by measuring it with an innovative model. To this end, this paper will explain the meaning of intellec...As we are in the knowledge economy, the main purpose of this research is to define the value of relational capital by measuring it with an innovative model. To this end, this paper will explain the meaning of intellectual capital （human capital, structural capital, and relational capital） in the field of knowledge economy and what relational capital is and how we can measure its value. The research is qualitative in nature and was developed through the study of the international literature. The research presents some theoretical evidences that permit defining a method for the evaluation of relational capital. In this direction, the above method will need to have some integration in the future research. Moreover, this approach should consider some empirical evidences to establish the practical value of the method. In fact, the method presented encourages debate and a critical attitude towards the evaluations of relational capital and intellectual capital.展开更多
A simple statistical model is proposed regarding the estimation of one’s overall performance in an MCQ examination along with the calculation of probability of obtaining a certain percentage of marks in the same. Usi...A simple statistical model is proposed regarding the estimation of one’s overall performance in an MCQ examination along with the calculation of probability of obtaining a certain percentage of marks in the same. Using the data obtained from the results of a sufficiently large number of mock examinations, conducted prior to the main examination, certain parameters quantifying one’s knowledge or preparation for the examination has been calculated. Based on those parameters, the probability of obtaining a certain percentage of marks has been computed using the theory of binomial probability distribution. The dependence of this probability function on various parameters has been depicted graphically. A parameter, called the performance index, has been defined in terms of the expectation value and standard deviation of marks computed from probability distribution. Using this parameter, a new parameter called the relative performance index has been defined. This index estimates one’s performance with respect to the best possible performance. The variation of relative performance index with respect to the preparation index has been shown graphically for different parameter values quantifying various aspects regarding the examination and the examinee.展开更多
基金This project was supported by the National Natural Science Foundation of China (60364001), the Shandong ProvincialNatural Science Foundation of China (Y2004A04) and Fujian Provincial Education Foundation of China(JA04268).
文摘Using S-rough sets, this paper gives the concepts off-heredity knowledge and its heredity coefficient, and f-variation coefficient of knowledge; presents the theorem of f-attribute dependence of variation coefficient and the relation theorem of heredity-variation. The attribute dependence of f-variation coefficient and the relation of heredity-variation are important characteristics of S-rough sets. From such discussion, this paper puts forward the heredity mining off-knowledge and the algorithm of heredity mining, also gives its relative application.
文摘As we are in the knowledge economy, the main purpose of this research is to define the value of relational capital by measuring it with an innovative model. To this end, this paper will explain the meaning of intellectual capital （human capital, structural capital, and relational capital） in the field of knowledge economy and what relational capital is and how we can measure its value. The research is qualitative in nature and was developed through the study of the international literature. The research presents some theoretical evidences that permit defining a method for the evaluation of relational capital. In this direction, the above method will need to have some integration in the future research. Moreover, this approach should consider some empirical evidences to establish the practical value of the method. In fact, the method presented encourages debate and a critical attitude towards the evaluations of relational capital and intellectual capital.
文摘A simple statistical model is proposed regarding the estimation of one’s overall performance in an MCQ examination along with the calculation of probability of obtaining a certain percentage of marks in the same. Using the data obtained from the results of a sufficiently large number of mock examinations, conducted prior to the main examination, certain parameters quantifying one’s knowledge or preparation for the examination has been calculated. Based on those parameters, the probability of obtaining a certain percentage of marks has been computed using the theory of binomial probability distribution. The dependence of this probability function on various parameters has been depicted graphically. A parameter, called the performance index, has been defined in terms of the expectation value and standard deviation of marks computed from probability distribution. Using this parameter, a new parameter called the relative performance index has been defined. This index estimates one’s performance with respect to the best possible performance. The variation of relative performance index with respect to the preparation index has been shown graphically for different parameter values quantifying various aspects regarding the examination and the examinee.
