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: | , |
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| Language: | English |
| Published: |
Science Faculty of Chiang Mai University
2019
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| Subjects: | |
| Online Access: | 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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| Institution: | Chiang Mai University |
| Language: | English |