The causes and the problems of integration of scientific ＆ technical innovation （ISTI） and inevitability are proposed. The status of domestic scientific ＆ technical innovation is analysed. A series of emergent man...The causes and the problems of integration of scientific ＆ technical innovation （ISTI） and inevitability are proposed. The status of domestic scientific ＆ technical innovation is analysed. A series of emergent managerial problems caused by the system ISTI （SISTI） are pointed out. Because of Hall three dimensions structure＇s enlightenment, a three dimensional logical net diagram in which the system integration of innovation based on problem in real world but not on disciplinary logic is drawn. The intelligent group＇ s need span is greater under the conditions of relatively low material level than common groups who have lower degree of education. The SISTI is composed by multi-rule and intelligent multi-agent behavior. It is concluded that the logical relationships of integrated technology which based on the author＇s experience and observation must be considerded for a valid management of SISTI.展开更多
In this paper,a method is proposed to deal with factors affecting the fuzzy time series forecasting.A new fuzzification process is used by considering all the fuzzy sets with nonzero membership values corresponding to...In this paper,a method is proposed to deal with factors affecting the fuzzy time series forecasting.A new fuzzification process is used by considering all the fuzzy sets with nonzero membership values corresponding to the data points.A strong alpha-cut based method is presented to select appropriate fuzzy logical relationships that carry importance in analyzing the trend of time series.Further,a unique defuzzification approach based on weights is proposed to get crisp variation.This obtained variation is finally converted to the forecasted value.The presented method is tested on the benchmark enrolment dataset of Alabama University and seven datasets of the Taiwan Capitalization Weighted Stock Index.On comparing the results,it is observed that the presented method performs better than the existing methods.Also,the statistical measures indicate the good forecasting results of the presented method.展开更多
基金Sponsored bythe National Innovation Basein Management on National Defense Science Technology National Economy Mobilization of the SecondPhase of"985"Project
文摘The causes and the problems of integration of scientific ＆ technical innovation （ISTI） and inevitability are proposed. The status of domestic scientific ＆ technical innovation is analysed. A series of emergent managerial problems caused by the system ISTI （SISTI） are pointed out. Because of Hall three dimensions structure＇s enlightenment, a three dimensional logical net diagram in which the system integration of innovation based on problem in real world but not on disciplinary logic is drawn. The intelligent group＇ s need span is greater under the conditions of relatively low material level than common groups who have lower degree of education. The SISTI is composed by multi-rule and intelligent multi-agent behavior. It is concluded that the logical relationships of integrated technology which based on the author＇s experience and observation must be considerded for a valid management of SISTI.
文摘In this paper,a method is proposed to deal with factors affecting the fuzzy time series forecasting.A new fuzzification process is used by considering all the fuzzy sets with nonzero membership values corresponding to the data points.A strong alpha-cut based method is presented to select appropriate fuzzy logical relationships that carry importance in analyzing the trend of time series.Further,a unique defuzzification approach based on weights is proposed to get crisp variation.This obtained variation is finally converted to the forecasted value.The presented method is tested on the benchmark enrolment dataset of Alabama University and seven datasets of the Taiwan Capitalization Weighted Stock Index.On comparing the results,it is observed that the presented method performs better than the existing methods.Also,the statistical measures indicate the good forecasting results of the presented method.
