Title :
The continuous-time Markovian process with fuzzy states
Author :
Gutiérrez, Salvador
Author_Institution :
Dept. de Comput. y Sistemas, Inst. Tecnologico de Morelia, Mexico
Abstract :
Continuous-time Markovian processes have a very wide range of application, but the resulting state sets can be uncomfortable or unwieldy to the decision maker. A way to simplify such state sets introducing fuzzy sets is explored. A process with fuzzy states can be defined over another (underlying) process with crisp or fuzzy states, establishing a relation that can be the basis for a systematic methodology for simplifying this kind of stochastic processes
Keywords :
Markov processes; decision theory; fuzzy set theory; continuous-time Markovian process; decision theory; fuzzy sets; fuzzy states; stochastic processes; Equations; Fuzzy sets; Fuzzy systems; Stochastic processes;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343527
