Computation of Entropy of Most Likelihood State Sequence Obtained from Non Homogeneous Fuzzy Hidden Markov Chain

Computation of Entropy of Most Likelihood State Sequence Obtained from Non Homogeneous Fuzzy Hidden Markov Chain

The entropy of a possibilistic variable provides a measure of its uncertainty. An algorithm is proposed for computing the entropy of the most likelihood state sequence obtained from the Viterbi algorithm for Non Homogeneous Fuzzy Hidden Markov Chain (NHFHMC) which is a bivariate discrete process, wh...

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Main Authors: Sujatha Ramalingam, Rajalaxmi Thasari Murali
語言:English
出版: Science Faculty of Chiang Mai University 2019
主題:
Triangular fuzzy number
Possibility Space
Conditional possibility
Non - Homogeneous Fuzzy Markov Chain
Fuzzy Hidden Markov Chain
Entropy
在線閱讀:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6257
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66173
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機構: Chiang Mai University
語言: English

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http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6257
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66173

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