DocumentCode
358357
Title
Interval based uncertain reasoning
Author
Yao, Y.Y.
Author_Institution
Dept. of Comput. Sci., Regina Univ., Sask., Canada
fYear
2000
fDate
2000
Firstpage
363
Lastpage
367
Abstract
This paper discusses and compares two interval based uncertain reasoning approaches, one is based on interval algebras, and the other is based on rough set theory. The main difference between them lies in the interpretations of intervals. Many interval algebra based methods focus on computation techniques without considering a well defined physical interpretation of intervals. Rough set based approaches use a particular interpretation of intervals. The comparative study of the two related and complementary methods may enhance our understanding of basic issues of interval based uncertain reasoning
Keywords
fuzzy logic; inference mechanisms; process algebra; rough set theory; uncertainty handling; granular computing; interval algebras; interval based uncertain reasoning; interval computing; rough set theory; Algebra; Computer science; Concrete; Fuzzy reasoning; Fuzzy sets; Physics computing; Problem-solving; Rough sets; Set theory; Uniform resource locators;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location
Atlanta, GA
Print_ISBN
0-7803-6274-8
Type
conf
DOI
10.1109/NAFIPS.2000.877453
Filename
877453
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