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A New Bandwidth Interval Based Forecasting Method for Enrollments Using Fuzzy Time Series 被引量:1
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作者 hemant kumar pathak Prachi Singh 《Applied Mathematics》 2011年第4期504-507,共4页
In this paper, we introduce the concept of (4/3)? bandwidth interval based forecasting. The historical enrollments of the university of Alabama are used to illustrate the proposed method. In this paper we use the new ... In this paper, we introduce the concept of (4/3)? bandwidth interval based forecasting. The historical enrollments of the university of Alabama are used to illustrate the proposed method. In this paper we use the new simplified technique to find the fuzzy logical relations. 展开更多
关键词 FUZZY SETS FUZZY Time SERIES FUZZY Logical RELATIONS
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A Note on Convergence of a Sequence and Its Applications to Geometry of Banach Spaces
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作者 hemant kumar pathak 《Advances in Pure Mathematics》 2011年第3期33-41,共9页
The purpose of this note is to point out several obscure places in the results of Ahmed and Zeyada [J. Math. Anal. Appl. 274 (2002) 458-465]. In order to rectify and improve the results of Ahmed and Zeyada, we introdu... The purpose of this note is to point out several obscure places in the results of Ahmed and Zeyada [J. Math. Anal. Appl. 274 (2002) 458-465]. In order to rectify and improve the results of Ahmed and Zeyada, we introduce the concepts of locally quasi-nonexpansive, biased quasi-nonexpansive and conditionally biased quasi-nonexpansive of a mapping w.r.t. a sequence in metric spaces. In the sequel, we establish some theorems on convergence of a sequence in complete metric spaces. As consequences of our main result, we obtain some results of Ghosh and Debnath [J. Math. Anal. Appl. 207 (1997) 96-103], Kirk [Ann. Univ. Mariae Curie-Sklodowska Sec. A LI.2, 15 (1997) 167-178] and Petryshyn and Williamson [J. Math. Anal. Appl. 43 (1973) 459-497]. Some applications of our main results to geometry of Banach spaces are also discussed. 展开更多
关键词 LOCALLY Quasi-Nonexpansive Biased Quasi-Nonexpansive Conditionally Biased Quasi-Nonexpansive DROP Super DROP
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