Sufficient conditions for the ergodicity of fuzzy Markov chains-Reference-Cited by-同舟云学术

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Sufficient conditions for the ergodicity of fuzzy Markov chains

Published:2016-12 Issue: Volume:304 Page:82-93
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Zhu Dong-Mei,Ching Wai-Ki,Guu Sy-Ming

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference19 articles.

1. Fuzzy Markov chains and decision making;Avrachenkov;Fuzzy Optim. Decis. Mak.,2002

2. Fuzzy Markov chains: uncertain probabilities;Buckley;Mathw. Soft Comput.,2002

3. Fuzzy Markov chains;Buckley;J. Fuzzy Math.,2006

4. Unsupervised change detection on SAR images using fuzzy hidden Markov chains;Carincotte;IEEE Trans. Geosci. Remote Sens.,2006

5. Interval type-2 fuzzy Markov chains;Figueroa-Garcia;Stud. Fuzziness Soft Comput.,2013

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1. MMGET: a Markov model for generalized evidence theory;Computational and Applied Mathematics;2021-12-12

2. Markov chain based on neutrosophic numbers in decision making;Kuwait Journal of Science;2021-08-17

3. A Fuzzy Markov Model for Risk and Reliability Prediction of Engineering Systems: A Case Study of a Subsea Wellhead Connector;Applied Sciences;2020-10-01

4. A new belief Markov chain model and its application in inventory prediction;International Journal of Production Research;2017-12-06

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