An Approach for Attribute Weights Acquisition based on Rough Sets Theory and Information Gain
- 10.2991/iske.2007.33How to use a DOI?
- Rough sets theory, information gain, attributes reduct, weight.
The irrationality of constructing weights, lending to subjectivity and without considering the redundancy of attributes, exists in traditional management decision-making. The important rating and important rating are first proposed by the attribute reduct in rough sets theory. Then, the important rating is given by the information gain in information entropy. An approach for acquiring attribute weights employing the three important ratings is presented to solve the problem of subjectivity and redundancy. An empirical case study validates the rationality and validity of our method
- © 2007, 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/).
Cite this article
TY - CONF AU - Dun Liu AU - Pei Hu AU - Tianrui Li AU - Chaozhe Jiang PY - 2007/10 DA - 2007/10 TI - An Approach for Attribute Weights Acquisition based on Rough Sets Theory and Information Gain BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 188 EP - 194 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.33 DO - 10.2991/iske.2007.33 ID - Liu2007/10 ER -