Using Rough Set Theory to Achieve Reliable Chemical Solvents Selection: A Multi-attribute Decision Case Study
- 10.2991/iske.2007.23How to use a DOI?
- RST (Rough set theory); Chemical solvents selection problem (CSSP); Multi-attributes Decision Making (MADM), RIDAS (An Rough Set Based Intelligent Data Analysis System)
The basic concepts of the rough set theory(RST) are introduced. An example of the rough set theory application to the chemical solvents selection problem(CSSP) is presented. Through the RST, we get a good multi-attributes decision-making effect in the chemical solvents selection. This work demonstrates how the use of RST in chemical process development by allowing efficient and reliable improvement of a given synthetic step. And other numerous earlier applications of rough set theory to the various scientific domains suggest that it also can be a useful tool for the analysis of inexact, uncertain, or vague chemical data
- © 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 - Chaozhe Jiang AU - Pei Hu AU - Dun Liu AU - Fang Xu AU - Jixue Yuan PY - 2007/10 DA - 2007/10 TI - Using Rough Set Theory to Achieve Reliable Chemical Solvents Selection: A Multi-attribute Decision Case Study BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 131 EP - 135 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.23 DO - 10.2991/iske.2007.23 ID - Jiang2007/10 ER -