DocumentCode :
351333
Title :
On the representation of veristic variables
Author :
Yager, Ronald R.
Author_Institution :
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
Volume :
1
fYear :
2000
fDate :
7-10 May 2000
Firstpage :
334
Abstract :
The distinction between possibilistic and veristic variables is pointed out, the former, such as a persons age, takes exactly one value, while the latter, such as a persons hobbies, takes any number of solutions. We introduce a number of different types of statements involving veristic variables and then show how these can be translated into expressions and constraints, within the framework of the theory of approximate reasoning. We discuss the methods for combining veristic information
Keywords :
fuzzy set theory; inference mechanisms; uncertainty handling; approximate reasoning; possibilistic variables; veristic variables representation; Cognition; Computational intelligence; Constraint theory; Educational institutions; Fuzzy reasoning; Fuzzy sets; Humans; Machine intelligence; Machinery; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1098-7584
Print_ISBN :
0-7803-5877-5
Type :
conf
DOI :
10.1109/FUZZY.2000.838682
Filename :
838682
Link To Document :
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