DocumentCode
292081
Title
An adaptive case-based reasoning model for decision support in dynamic environments
Author
Deng, Pi-Sheng
Author_Institution
Sch. of Bus. Adm., California State Univ., Turlock, CA, USA
Volume
2
fYear
1994
fDate
2-5 Oct 1994
Firstpage
1874
Abstract
In this research we propose an adaptive case-based reasoning model for the effective support of ill-structured, classificatory decisions. Our model is characterized by its incorporation of Type-I and Type-II errors into performance improvement. This model is used to complement the traditional approaches to decision support in dynamic environments. Performance comparison is conducted for our model, rule induction, and connectionist approaches
Keywords
adaptive systems; case-based reasoning; data analysis; decision support systems; Type-I errors; Type-II errors; adaptive case-based reasoning model; decision support systems; dynamic environments; ill-structured classificatory decisions; Artificial neural networks; Biological neural networks; Computational modeling; Computer networks; Decision making; Decision support systems; Multi-layer neural network; Neural networks; Problem-solving; Spread spectrum communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-2129-4
Type
conf
DOI
10.1109/ICSMC.1994.400124
Filename
400124
Link To Document