A Novel Approach to Make Decision in Intelligent Decision Support systems

DOI

10.2991/amcce-17.2017.144How to use a DOI?

Keywords

Rough sets; Intelligent decision support system; Uncertainty reasoning; Artificial intelligence

Abstract

Although decision ability of intelligent decision support systems has been greatly improved, the method of decision making under uncertainty is a difficult point. In this paper, an algorithm based on rough set theory is introduced, and the approach to make decision in intelligent decision support systems is emphasized. In order to make decision, the minimum set of decision rules should be computed by simplification of decision table firstly, and the result of decision can be obtained by comparing the new object with the minimum set of decision rules and computing the weight of every conclusion in the new object's matching set. Both subjective factors representing the users' preferences for various attributes and objective factors such as support degree of decision rules are taken into account in the process of reasoning, and the proportion of the subjective factors and the objective factors can be adjusted by the ratio of subjective factors. The approach can be used to make decision under certain and uncertain environment, and can better reflect the needs of users.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yehong Han
PY  - 2017/03
DA  - 2017/03
TI  - A Novel Approach to Make Decision in Intelligent Decision Support systems
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 814
EP  - 817
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.144
DO  - 10.2991/amcce-17.2017.144
ID  - Han2017/03
ER  -