Using Rough Set Theory to Achieve Reliable Chemical Solvents Selection: A Multi-attribute Decision Case Study

DOI

10.2991/iske.2007.23How to use a DOI?

Keywords

RST (Rough set theory); Chemical solvents selection problem (CSSP); Multi-attributes Decision Making (MADM), RIDAS (An Rough Set Based Intelligent Data Analysis System)

Abstract

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

Copyright

© 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/).

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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  -