Title :
Hybrid model decision making processes using knowledge discovery in data describing states
Author_Institution :
Inst. of Comput. Sci., Technical Univ., Lodz
Abstract :
This work presents a general model of a dynamic system, paying particular attention to decision-making processes. The model is established using basic concepts of the semigroup and automata theories. Within the model, a decision is made after considering a set of attribute values which describe states. Based on these data, the system can optimize the selection of successive states. The paper presents a certain application of general model for a logistic problem
Keywords :
automata theory; data mining; decision making; rough set theory; automata theories; describing states; hybrid model decision making processes; knowledge discovery; logistic problem; Automata; Computer science; Data mining; Decision making; Information technology; Logistics; Metastasis; Power system modeling; Predictive models; Rough sets;
Conference_Titel :
Hybrid Information Technology, 2006. ICHIT '06. International Conference on
Conference_Location :
Cheju Island
Print_ISBN :
0-7695-2674-8
DOI :
10.1109/ICHIT.2006.253530
