Case-based reasoning for equipment selection using rough sets analysis in adaptation phase

被引：10

作者：

Kraslawski, A

Lyssov, I

Kudra, T

Borowiak, M

Nyström, L

机构：

[1] Lappeenranta Univ Technol, Dept Chem Technol, FIN-53851 Lappeenranta, Finland

[2] CANMET, Energy Diversificat Res Lab, Varennes, PQ J3X 1S6, Canada

[3] Ind Chem Res Inst, PL-01793 Warsaw, Poland

来源：

COMPUTERS & CHEMICAL ENGINEERING | 1999年 / 23卷

关键词：

equipment selection; case-based reasoning; rough sets;

D O I：

10.1016/S0098-1354(99)80173-2

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Case-based reasoning (CBR) is an approach based on the reuse of the past experiences in finding the solutions to the new, similar problems. Adaptation is the most difficult and the most important step in the succesful use of CBR system, especially if in the certain applications e.g. equipment design the non-numerical parameters have to be adapted. The objective of the paper is a presentation of the adaptation method of CBR that is based on rough sets. Two examples are given to illustrate the applicability of the different adaptation methods.

引用

页码：S707 / S710

页数：4