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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書目詳細資料
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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University
語言:	English

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