DocumentCode
2423364
Title
The Theory and Application of Rough Integration in Rough Function Model
Author
Wang, Yun ; Wang, Jinmei ; Guan, Yanyong
Author_Institution
Univ. of Jinan, Jinan
Volume
3
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
224
Lastpage
228
Abstract
The definition of the rough integral Pawlak proposed is improved. New notions are proposed, which are respectively the rough integral on a constant interval and the roughly integral upper limit function, and so on. By comparing with the definite integral of real functions, the properties of rough integrals are analyzed. Giving the concept of mean value of discrete functions, the mean value method for rough integration is derived. At the same time, the intermediate value theorem of rough integration is proposed and its geometric significance is analyzed, which provides a dependable theoretical tool for rough integral operation, etc.. Conclusions including the existence theorem of rough primitives and the fundamental formula of rough calculus are proposed. By the representative of discrete functions, the method of computing a primitive is given, by which basic formulas for rough integration in common use are derived, and the method of rough direct integration is obtained. There is also the method of rough integration by parts for rough integrals which is like that of definite integrals. Thus the recurrence formula for rough integration is deduced, in which the integrand of the rough integral is in the shape of the product of a rough power function and a rough exponential function. It is pointed out that integration by substitution is not applicable for rough integral operation.
Keywords
integration; rough set theory; discrete functions; geometric significance; intermediate value theorem; mean value; recurrence formula; rough calculus; rough exponential function; rough function model; rough integration; rough power function; rough primitives; upper limit function; Artificial intelligence; Calculus; Data analysis; Machine learning; Mathematical model; Mathematics; Pattern analysis; Pattern recognition; Set theory; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.587
Filename
4406233
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