Support Rough Sets for decision-making
Yenny Villuendas-Rey, Maria M. Garcia-Lorenzo, Rafael Bello
Available Online October 2013.
- https://doi.org/10.2991/.2013.11How to use a DOI?
- Case based decision-making, Rough Set Theory, data preprocessing
- Case-based reduction is viewed as an important prepro-cessing step for case based decision-making. In this pa-per, is introduced a Support Rough Set model to deal with mixed and incomplete data. The Support Rough Set mod-el is used to reduce the case base by using positive and limit regions of decision. The proposed algorithms are compared with some classical techniques. Experimental results show that the proposed methods obtain high accu-racy, using only a reduced case base.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yenny Villuendas-Rey AU - Maria M. Garcia-Lorenzo AU - Rafael Bello PY - 2013/10 DA - 2013/10 TI - Support Rough Sets for decision-making BT - Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support PB - Atlantis Press SP - 88 EP - 97 SN - 1951-6851 UR - https://doi.org/10.2991/.2013.11 DO - https://doi.org/10.2991/.2013.11 ID - Villuendas-Rey2013/10 ER -