DocumentCode
478639
Title
Diversity and unity of uncertainty theories
Author
Klir, George J.
Author_Institution
Dept. of Syst. Sci. & Ind. Eng., Binghamton Univ., Binghamton, NY
Volume
1
fYear
2008
fDate
6-8 Sept. 2008
Firstpage
42377
Lastpage
42383
Abstract
An overview of basic ideas and results emerging from a research program known as Generalized Information Theory (GIT) is presented in the context of the area of intelligent systems. The aim of this research program is to study the concepts of uncertainty and uncertainty-based information in all their manifestations. In GIT, the primary concept is uncertainty and information is defined in terms of reduction of relevant uncertainty.
Keywords
artificial intelligence; fuzzy set theory; uncertainty handling; generalized information theory; intelligent systems; uncertainty theories; uncertainty-based information; Artificial intelligence; Constraint theory; Fuzzy sets; Humans; Information theory; Intelligent systems; Natural languages; Possibility theory; Set theory; Uncertainty; generalized information theory (GIT); imprecise probabilities; information; intelligent systems; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location
Varna
Print_ISBN
978-1-4244-1739-1
Electronic_ISBN
978-1-4244-1740-7
Type
conf
DOI
10.1109/IS.2008.4670393
Filename
4670393
Link To Document