Research on the evaluation method of ship damage-control ability based on rough set and cloud gravity center theory

Author(s):  
Huabin Cheng ◽  
Yonghong Chen
Author(s):  
Yasuo Kudo ◽  
Tetsuya Murai

This paper focuses on rough set theory which provides mathematical foundations of set-theoretical approximation for concepts, as well as reasoning about data. Also presented in this paper is the concept of relative reducts which is one of the most important notions for rule generation based on rough set theory. In this paper, from the viewpoint of approximation, the authors introduce an evaluation criterion for relative reducts using roughness of partitions that are constructed from relative reducts. The proposed criterion evaluates each relative reduct by the average of coverage of decision rules based on the relative reduct, which also corresponds to evaluate the roughness of partition constructed from the relative reduct,


2014 ◽  
Vol 644-650 ◽  
pp. 6087-6092
Author(s):  
Liu Qun Yang ◽  
Lei He ◽  
Gang Li

College English teaching evaluation is an important step to improve the quality of teaching and to promote students' development and assessment of teachers' performance, which is characterized by many factors and multidimensional structure. The current college English teaching evaluation method faces such problems: fuzzy evaluation criteria, subjective judgment and the difficulty to quantify evaluation results. Based on cloud theory, this article will explore college English teaching evaluation, and establish a comprehensive evaluation model based on cloud gravity center by using weight deviation to measure the quality of teaching. This article will also build an inter-relationship mapping between qualitative and quantitative evaluation, which supports the whole process of comprehensive evaluation with the combination of qualitative and quantitative indexes. Finally this article gives an example of specific application of this method.


2011 ◽  
Vol 368-373 ◽  
pp. 617-623 ◽  
Author(s):  
Di Tao Niu ◽  
Da Ming Luo ◽  
Guo Hua Xing ◽  
Hui Ma

In this paper, fuzzy set and rough set theory were used to the research of durability environment division of concrete structures. Based on discretization of the measured data, the significance of attributes among rough sets was estimated instead of weight determination, and a relation data model about the durability effecting factors of concrete structures was established. A knowledge system was built through making attribute value into eigenvalue. During data analysis, the assessment of the regional factors was computed by analyzing the support and significance of evaluation method for the predicted object. The proposed approach overcomes the subjectivity of traditional weight determination method, After researching on durability environment divisions of concrete structures in Shenzhen city, the result shows that the proposed approach overcomes the subjectivity of traditional weight determination method, possesses much more objectivity and improved the accuracy and efficiency of comprehensive evaluation.


2011 ◽  
Vol 128-129 ◽  
pp. 3-6
Author(s):  
Jin Zhuang Xiao ◽  
Xin Cai Yang ◽  
Hong Rui Wang ◽  
Kun Liu

Focusing on personal balance ability evaluation, a method was developed to improve the dependency to many uncertainties, and to enhance veracity and objectivity, where impulse disturbance for human gravity center was produced by a six degree-of-freedom motion platform of 6-PSS under feet, and corresponding wave of gravity center was measured by a force plate real time. Dynamic process of overcoming this disturbance was abstracted as classic second-order linear model, where the product of damp coefficient and undammed circular frequency was estimated through recorded data based on system identification theory. By using this value, settling time was calculated and used as the balance evaluating index. Through the evaluating results of 103 students or graduate students, the feasibility of this method was validated, and reference ranges of healthy persons’ settling time were concluded for clinical balance evaluation.


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