Attribute Reduction in a Dispersed Decision-Making System with Negotiations

Conference paper

DOI: 10.1007/978-3-319-58274-0_7

Part of the Communications in Computer and Information Science book series (CCIS, volume 716)
Cite this paper as:
Przybyła-Kasperek M. (2017) Attribute Reduction in a Dispersed Decision-Making System with Negotiations. In: Kozielski S., Mrozek D., Kasprowski P., Małysiak-Mrozek B., Kostrzewa D. (eds) Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. BDAS 2017. Communications in Computer and Information Science, vol 716. Springer, Cham

Abstract

The aim of the study was to apply rough set attribute reduction in a dispersed decision-making system. The system that was used was proposed by the author in a previous work. In this system, a global decision is taken based on the classifications that are by the base classifiers. In the process of decision-making, elements of conflict analysis and negotiations have been applied. Reduction of the set of conditional attributes in local decision tables was used in the paper. The aim of the study was to analyze and compare the results that were obtained after the reduction with the results that were obtained for the full set of attributes.

Keywords

Decision-making system Dispersed knowledge Conflict analysis Attribute reduction 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Computer ScienceUniversity of SilesiaSosnowiecPoland

Personalised recommendations