شماره ركورد كنفرانس :
3140
عنوان مقاله :
Reducing the Number of Iterations of the Greatest Eigen Fuzzy Set in Stationary Distribution of Fuzzy Markov Chains
عنوان به زبان ديگر :
Reducing the Number of Iterations of the Greatest Eigen Fuzzy Set in Stationary Distribution of Fuzzy Markov Chains
پديدآورندگان :
Gharehdaghi Maryam نويسنده Department of Statistics - University of Guilan - Rasht - Iran , Fathi Vajargah Behroz نويسنده Department of Statistics - University of Guilan - Rasht - Iran
كليدواژه :
Chains , Ergodicity , Stationary distribution , Fuzzy Markov , Eigen Fuzzy Set , Quasi-Random Sequences
عنوان كنفرانس :
يازدهمين كنفرانس آمار ايران
چكيده لاتين :
A general definition of fuzzy Markov chains over a finite state space is introduced. It has been pointed out that unlike for the classical Markov chains recurrency does not imply ergodicity in the case of the fuzzy Markov chains. However, if a fuzzy Markov chain is ergodic then the rows of its limiting transition matrix are equal to the greatest eigen fuzzy set of the fuzzy relation associated with the chain. We make use of some quasi-random sequences for generating elements of fuzzy transition matrix.
شماره مدرك كنفرانس :
4219389
