Title :
Measuring uncertainty associated with convex sets of probability distributions: a new approach
Author_Institution :
Dept. of Syst. Sci. & Ind. Eng., Binghamton Univ., NY, USA
Abstract :
After reviewing the research program known as generalized information theory (GIT) and research efforts within this research program to find justifiable ways of measuring information-based uncertainty and the associated uncertainty-based information, a new approach to measuring uncertainty/information is introduced that is applicable to theories of uncertainty/information based on convex sets of probability distributions of any type.
Keywords :
information theory; statistical distributions; uncertainty handling; convex sets; generalized information theory; probability distribution; uncertainty measurement; Calculus; Capacity planning; Fuzzy set theory; Fuzzy sets; H infinity control; Information theory; Measurement uncertainty; Particle measurements; Probability distribution; Set theory;
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
DOI :
10.1109/NAFIPS.2005.1548508