Fuzzy Markov chains based on the fuzzy transition probability
Markov chains play an important role in the decision analysis.In the practical applications,decision-makers often need to decide in an uncertain condition which the traditional decision theory cant deal with.In this paper,we combine Markov chains with the fuzzy sets to build a fuzzy Markov chain model using a triangle fuzzy number to denote the transition probability.A method is given to compute the n-step fuzzy transition matrix which is the key point of the model.An algorithm consisting of GA and the hill-climbing algorithm is used to compute the high-order n-step fuzzy transition matrix.
Fuzzy decision-making Markov chains fuzzy number GA
Guangming Li Baoxin Xiu
Science and Technology on Information Systems Engineering Laboratory,National University of Defense Technology,Changsha,Hunan,P.R.China,410073
国际会议
长沙
英文
4351-4356
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）