Title :
An adaptive case-based reasoning model for decision support in dynamic environments
Author_Institution :
Sch. of Bus. Adm., California State Univ., Turlock, CA, USA
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;
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
DOI :
10.1109/ICSMC.1994.400124
