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To increase the learning effectiveness and willingness of students became the most important issue for the Universities in Taiwan. Therefore, we must find the important factors of the learning effectiveness to improve the learn willingness of students. However, it is not easy to measure the learning effectiveness because the subjective judgment of evaluators and the attributes of factors are always...
The paper adopts the fuzzy c-means text mining method in lots of text mining methods. But aim at the defect that the initial value of the fuzzy c-means is more sensitivity and poor stability, an improved GAFCM text mining method has been put forward. GAFCM uses global search features of genetic algorithms to improve the fuzzy c-means. Finally, it has proved that the improved text mining method has...
A simple and more concrete granular computing model may be developed using partition of interval set-valued in decision System. The natural intervals of attribute values to be transformed into multiple sub-interval of are given by normalization. And some characteristics of interval set-valued of decision systems in fuzzy rough set theory are discussed. The correctness and effectiveness of the approach...
The classical approaches for the traditional problems of text mining, such as document indexing, document clustering or text classification, represent the text as bag-of-words. Words, the units of the representation, are determined by tokenization, using e.g. whitespace and punctuation characters as separator. The bag-of-word based methods face problem with non-segmented text typical for some Asian...
Based on the static factor analysis of innovation for a master's degree thesis database, a innovation evaluation method is employed to build the factor set, evaluation set, weight sets and fuzzy evaluation model using analytic hierarchy process and fuzzy synthesis evaluation method. The innovation of a master's degree thesis database is evaluated, and the effectiveness of this method is demonstrated...
This paper proposes a kind of method based on the rule natural language understanding, it can carry on scientific evaluation in understanding bases of the teachers' teaching quality. First of all creates the domain library and evaluation library based on the quality of teaching evaluation system, establishes a rule for each word in domain and evaluation library. After identifies each domain and evaluation...
The evaluation of burst-proneness risks has affected the coal and rock mining progress and development. The quality evaluation system framework of burst-proneness risks indexes is established. Fuzzy evaluation index system is proposed to take into account various factors. As to index system, comprehensive fuzzy evaluation model and methods are setup and used to check for practical example. Using comprehensive...
In view of the complexity, ambiguity and multi-factor of teaching evaluation, it is an important topic that classification is applied to the domain. In the field of classification, incomplete data is one of thorny issues. There have been many methods to deal with the problem in many studies. In the paper, the MVCM is introduced particularly. It fills these observations with incomplete data by constructing...
Since Taiwan began promoting its educational reforms in earnest in 1998, although the idea of diversity in evaluation is proposed as significant, it overlooks the significance of explaining evaluation results. In terms of the traditional method, it can only use traditional averages and convert them to rankings, but this does not provide further explanatory information, and it is impossible to proceed...
Weblog becomes an important channel among people in the digital society. How to operate a successful Weblog is a momentous task. A good or successful Weblog depends on many factors. This paper is to investigate and compare the different influence factors for an effective and successful Weblog. Firstly, a questionnaire with several design factors is going to be distributed and collected from experts...
When managing a university, the principal or administrators always encounter internal and external risk items or difficulties which they know even they don't know. This study therefore proposes an analytic hierarchy model to help the private university in Taiwan understand the critical risk factors influence the school management, and an aggregative risk degree is indicated. The importance weights...
Majority of teaching quality evaluation uses fuzzy comprehensive evaluation at present. The fuzzy comprehensive evaluation is good at dealing with the subjective evaluation information. But it is not good at dealing with the objective evaluation information. To solve the problem, the paper used two mathematical models which were fuzzy comprehensive evaluation and Markov chain to handle the information...
Student model is a very important and time-consuming process in intelligent tutoring system. Furthermore, for many Web based educational systems, student personality is hard to apply explicitly. To address this problem, we proposed an approach for combining fuzzy compositive evaluation with Bayesian network to design an applied student model. This article describes improvements made to the method...
Graduate synthesis evaluation marks have become a reference for the graduate educational administrative organizations to assess the scholarship and outstanding graduate, and an important basis for the employing unit to understand the graduate school performance. Traditional evaluation method usually adopts quantitative conventional mathematics hard partition methods, which exists large disadvantages...
In existing teacher-evaluating model, teachers are ranked according to the weighted average score given by students based on the instruction pointers. Although it can reflect the teaching standard in a manner, yet it cannot discover the implicit information in data, such as some teachers are standout in some way. Further more, teachers cannot be sorted by a certain index in this method, which lacks...
Teaching evaluation is a difficult task because of the difficulty of transforming teaching behavior into a quantitative problem. In this paper, an improved classification algorithm is proposed into the field of teaching evaluation by contrast with the traditional methods. Firstly, the key concepts of algorithms using in teaching evaluation are introduced, including the actual process of mining knowledge...
It is of great importance to evaluate scientifically teacherspsila teaching quality in the classroom. The methods of AHP and Fuzzy comprehensive evaluation are applied to evaluation of classroom teaching quality. By analyzing constituent elements of teaching quality, proposed that the index system should be on the basis of teaching attitude, teaching method, teaching content and teaching effectiveness,...
In view of fuzziness of university teaching quality evaluation, AHP-based multi-level fuzzy comprehensive evaluation model become the advantage model for university teaching quality assessment. However, membership conversion way at present has a problem of redundancy, that is, the redundant data which has no value to objective classification in memberships of indicators is used to calculate the objective...
The algorithm of locally adaptive clustering for high dimensional data (LAC) processes soft subspace clustering by local weightings of features. To solve the localization of LAC in specifying the number of clusters, this paper reworks the validity index for fuzzy clustering to evaluate the clustering results of LAC. Compared with real clustered data, the method is proved feasible. In the new algorithm,...
The grouping of software project practice teaching has very important valuable for improving teaching quality. Traditional grouping method, which based on grades of students, is probable that leads to grouping unreasonably, and it affect teaching quality of software project practice. In this paper the fuzzy-based clustering genetic grouping model is present, it makes use of fuzzy clustering to classify...
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