@inbook{7bd2100806034c099fb1b8650d65dd49,
title = "Simulated annealing optimized rough sets for modeling interstate conflict",
abstract = "In this chapter, methods to optimally granulize rough set partition sizes using simulated annealing technique, are proposed. The proposed procedure is applied to model the militarized interstate dispute data. The suggested technique is then compared to the rough set partition method that is based on particle swarm optimization. The results obtained demonstrate that simulated annealing provides higher forecasting accuracies than particle swarm optimization method.",
author = "Tshilidzi Marwala and Monica Lagazio",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag London Limited 2011.",
year = "2011",
doi = "10.1007/978-0-85729-790-7_9",
language = "English",
series = "Advanced Information and Knowledge Processing",
publisher = "Springer London",
number = "9780857297891",
pages = "165--182",
booktitle = "Advanced Information and Knowledge Processing",
address = "United Kingdom",
edition = "9780857297891",
}