Title :
Measures of distortion in possibilistic approximations of consistent random sets and intervals
Author_Institution :
Los Alamos Nat. Lab., NM, USA
Abstract :
The available of probability or possibility measures for random set (Dempster-Shafer evidence theoretical) structures are highly desirable. Probabilistic conditions involve disjointness or specificity, while possibilistic conditions involve consonance of the underlying focal elements. Consistency results in possibilistic distributions, but not measures, and a unique approximation is available. Especially in random interval measurement situations, this condition is common. In this paper we develop some of the mathematical ideas necessary to develop a measure of the distortion introduced by this consonant approximation of a consistent random set
Keywords :
approximation theory; case-based reasoning; fuzzy set theory; possibility theory; probability; random processes; Dempster- Shafer theory; consistent random sets; evidence theory; fuzzy set theory; possibilistic approximations; probability; Distortion measurement; Fuzzy sets; Laboratories; Possibility theory; Tensile stress; Vectors;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943814