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
Link To Document :
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