Title :
A case-based reasoning approach to develop open machining intelligence database system
Author :
Yongqian, Zheng ; Shuli, Lu
Author_Institution :
Dept. of Ind. Eng., Tongji Univ., Shanghai
Abstract :
A CBR approach is presented to determine cutting parameters and machining solutions and the way of establishing corresponding case databases is discussed. Based on grey-relational theory and fuzzy-set theory an algorithm for calculating the similarity degree and a case retrieval method are put forward. Thus, similar cases can be found out efficiently and the cases-match precision can be increased greatly. Lastly, the Opening Application Architecture (OAA) for development of this kind of systems is presented with more flexibility for its scalability.
Keywords :
case-based reasoning; cutting; database management systems; fuzzy set theory; grey systems; machining; case retrieval method; case-based reasoning approach; cutting parameters; fuzzy-set theory; grey-relational theory; open machining intelligence database system; opening application architecture; Costs; Database systems; Deductive databases; Industrial engineering; Information retrieval; Intelligent systems; Machining; Mechanical engineering; Relational databases; Scalability; case-based reasoning (CBR); grey relational degree; machining data-base; the opening application architecture (OAA);
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
DOI :
10.1109/SOLI.2008.4686384
