MMGET: a Markov model for generalized evidence theory

In real life, lots of information merge from time to time. To appropriately describe actual situations in open world, a generalized evidence theory based on Dempster–Shafer is designed. However, everything occurs sequence and owns some underlying relationships with each other which are missing this theory. further embody the details better conform Markov model introduced into helps extract complete volume provided. More specially, investigates influences properties given brought by dynamic process transitions among different incidents provides new solutions combination, distance measure, reliability certainty measure. Besides, numerical examples offered verify correctness rationality proposed method these relevant aspects.