To improve the ability and precisions of the fuzzy control,this thesis points out the adjusted fuzzy control method,realizes the precision of the fuzzy quantity, and reduces the number of the fuzzy control rules,so th...To improve the ability and precisions of the fuzzy control,this thesis points out the adjusted fuzzy control method,realizes the precision of the fuzzy quantity, and reduces the number of the fuzzy control rules,so that it can predigest the process of disigns and realize the methods without influencing the idiocratic control,which are on the base of the domain flexing.展开更多
In light of the traditional teaching method used in English classes in China and many other places, this article states the importance of linking instruction and assessment in the English teaching process and presents...In light of the traditional teaching method used in English classes in China and many other places, this article states the importance of linking instruction and assessment in the English teaching process and presents different approaches to linking instruction and assessment in classroom teaching which are proven effective in solidifying students' knowledge of English and improving students' comprehensive English competence. Then, based on the results from the assessments, a Fuzzy Comprehensive Grading Approach is adopted in calculating students' final grade. The Approach is based on the fuzzy set theory of fuzzy mathematics, and it considers diverse factors and assigns proper weight to different factors in grading, using fuzzy matrix operation in calculating students' grades; therefore, it is comprehensive and reliable, and can avoid the influence of odd scores and give a truer and more balanced measurement of students' English ability.展开更多
Present study proposes a method for fuzzy time series forecasting based on difference parameters.The developed method has been presented in a form of simple computational algorithm.It utilizes various difference param...Present study proposes a method for fuzzy time series forecasting based on difference parameters.The developed method has been presented in a form of simple computational algorithm.It utilizes various difference parameters being implemented on current state for forecasting the next state values to accommodate the possible vagueness in the data in an efficient way.The developed model has been simulated on the historical student enrollments data of University of Alabama and the obtained forecasted values have been compared with the existing methods to show its superiority.Further,the developed model has also been implemented in forecasting the movement of market prices of share of State Bank of India(SBI)at Bombay Stock Exchange(BSE),India.展开更多
文摘To improve the ability and precisions of the fuzzy control,this thesis points out the adjusted fuzzy control method,realizes the precision of the fuzzy quantity, and reduces the number of the fuzzy control rules,so that it can predigest the process of disigns and realize the methods without influencing the idiocratic control,which are on the base of the domain flexing.
文摘In light of the traditional teaching method used in English classes in China and many other places, this article states the importance of linking instruction and assessment in the English teaching process and presents different approaches to linking instruction and assessment in classroom teaching which are proven effective in solidifying students' knowledge of English and improving students' comprehensive English competence. Then, based on the results from the assessments, a Fuzzy Comprehensive Grading Approach is adopted in calculating students' final grade. The Approach is based on the fuzzy set theory of fuzzy mathematics, and it considers diverse factors and assigns proper weight to different factors in grading, using fuzzy matrix operation in calculating students' grades; therefore, it is comprehensive and reliable, and can avoid the influence of odd scores and give a truer and more balanced measurement of students' English ability.
文摘Present study proposes a method for fuzzy time series forecasting based on difference parameters.The developed method has been presented in a form of simple computational algorithm.It utilizes various difference parameters being implemented on current state for forecasting the next state values to accommodate the possible vagueness in the data in an efficient way.The developed model has been simulated on the historical student enrollments data of University of Alabama and the obtained forecasted values have been compared with the existing methods to show its superiority.Further,the developed model has also been implemented in forecasting the movement of market prices of share of State Bank of India(SBI)at Bombay Stock Exchange(BSE),India.
