On the Astray of Complicated Models for Uncertain Systems
The characteristics of fuzzy mathematics, grey systems theory, rough set theory, and the basic characteristics of incomplete information and inaccurate data in uncertain systems are analyzed. The principle of simplicity of scientific theories, methods, and models is discussed. Detailed examples show that more satisfied results can be obtained by using models involving uncertainties than by using meticulous models on situations of certainty. It is suggested that the tendency of concentrating on complicated models is not always necessary when dealing with situations involving incomplete information and inaccurate data.
Liu Sifeng Jeffrey Forrest
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, CO Department of Mathematics, Slippery Rock University, Slippery Rock, PA 16057, USA
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
1-6
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）