Simulated annealing optimized rough sets for modeling interstate conflict

Tshilidzi Marwala, Monica Lagazio

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.

Original languageEnglish
Title of host publicationAdvanced Information and Knowledge Processing
PublisherSpringer London
Pages165-182
Number of pages18
Edition9780857297891
DOIs
Publication statusPublished - 2011

Publication series

NameAdvanced Information and Knowledge Processing
Number9780857297891
ISSN (Print)1610-3947
ISSN (Electronic)2197-8441

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management
  • Artificial Intelligence

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