CFP: Special Issue on random sets and imprecise probabilities
- From: "Enrique Miranda" <enrique.miranda@xxxxxxx>
- Date: 17 Nov 2005 00:57:00 -0800
CALL FOR PAPERS
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Special Issue on
RANDOM SETS AND IMPRECISE PROBABILITIES
Random sets, or measurable multi-valued mappings, constitute a powerful
generalisation of random variables with applications on areas as
diverse as economics, data mining or environmental sciences. On the
other hand, imprecise probability models have arisen in the last years
as a powerful alternative to classical probability for situations when
imprecision or vagueness prevents the use of a precise and unique
probability distribution with certain guarantees.
This special issue is meant to cover the several connections existing
between random sets and imprecise probabilities. Foundational issues on
this topic include, but are not limited to, upper and lower
probabilities (capacities) induced by random sets, sets of measurable
selections, upper and lower integrals of random sets and coarse data
analysis. Applications of random sets and imprecise probabilities in
Computer Science, Economics, Social Sciences or Information Technology,
are also welcome.
Authors should submit their papers electronically to both special issue
editors. The papers must contain original unpublished work that is not
being submitted for publication elsewhere. Due to limitations of space,
only papers with less than 20 pages will be considered. Manuscripts
submitted to this special issue should follow the format guidelines
that can be found at http://www.elsevier.com/locate/ijar, and will be
refereed according to the standard procedures for International Journal
of Approximate Reasoning.
The DEADLINE for submissions is May 15, 2006.
The issue is expected to be ready by early 2007. Electronic submission
is required. Please e-mail a postscript or pdf file of your manuscript
to both special issue editors:
Hung T. Nguyen
Dep. Of Mathematical Sciences
New Mexico State University
Las Cruces, NM 88003-8001-USA
e-mail: hunguyen@xxxxxxxx
Enrique Miranda
Dep. of Statistics and O.R.
Rey Juan Carlos University
C-Tulipán, s/n 28933 Móstoles, SPAIN
e-mail: enrique.miranda@xxxxxxx
.
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