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

• المؤلفون الرئيسيون: Sujatha Ramalingam, Rajalaxmi Thasari Murali
• اللغة: English
• منشور في: Science Faculty of Chiang Mai University 2019
• الموضوعات: Triangular fuzzy number; Possibility Space; Conditional possibility; Non - Homogeneous Fuzzy Markov Chain; Fuzzy Hidden Markov Chain; Entropy
• الوصول للمادة أونلاين: http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6257; http://cmuir.cmu.ac.th/jspui/handle/6653943832/66173

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...