A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion

Author

Torrez, William C. ; Bamber, Donald ; Goodman, I.R. ; Nguyen, Hung T.

Author_Institution

CNO Strategic Studies Group, Naval War Coll., Newport, RI, USA

Volume

2

fYear

2002

fDate

8-11 July 2002

Firstpage

1308

Abstract

There is an obvious need to be able to integrate both linguistic-based and stochastic-based input information in data fusion. In particular, this need is critical in addressing problems of track association, including cyber-state intrusions. This paper treats this issue through a new insight into how three apparently distinct mathematical tools can be combined: "boolean relational event algebra" (BREA), "one point random set coverage representations of fuzzy sets" (OPRSC), and "complexity-reducing algorithm for near optimal fusion" (CRANOF).

Keywords

fuzzy logic; relational algebra; sensor fusion; boolean relational event algebra; correlation; cyber-state intrusions; data fusion; fuzzy logic; fuzzy sets; random sets; reasoning; second order probability; track association; tracking; Algebra; Arithmetic; Educational institutions; Fuzzy logic; Fuzzy sets; Information security; Natural languages; Probabilistic logic; Stochastic processes; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2002. Proceedings of the Fifth International Conference on

Conference_Location

Annapolis, MD, USA

Print_ISBN

0-9721844-1-4

Type

conf

DOI

10.1109/ICIF.2002.1020964

Filename

1020964