TY  - JOUR
AB  - Provides an overview of major developments pertaining to generalized information theory during the lifetime of Kybernetes. Generalized information theory is viewed as a collection of concepts, theorems, principles, and methods for dealing with problems involving uncertainty‐based information that are beyond the narrow scope of classical information theory. Introduces well‐justified measures of uncertainty in fuzzy set theory, possibility theory, and Dempster‐Shafer theory. Shows how these measures are connected with the classical Hartley measure and Shannon entropy. Discusses basic issues regarding some principles of generalized uncertainty‐based information.
VL  - 25
IS  - 7/8
SN  - 0368-492X
DO  - 10.1108/03684929610149657
UR  - https://doi.org/10.1108/03684929610149657
AU  - Klir George J.
AU  - Harmanec David
PY  - 1996
Y1  - 1996/01/01
TI  - Generalized information theory
T2  - Kybernetes
PB  - MCB UP Ltd
SP  - 50
EP  - 67
Y2  - 2024/04/25
ER  -