DocumentCode
3384952
Title
Measures of distortion in possibilistic approximations of consistent random sets and intervals
Author
Joslyn, Cliff
Author_Institution
Los Alamos Nat. Lab., NM, USA
Volume
3
fYear
2001
fDate
25-28 July 2001
Firstpage
1735
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;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.943814
Filename
943814
Link To Document