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Fuzzy hidden Markov model is the efficient way of finding an optimized path among the states where uncertainty exists. Aggregation operators replaced the conventional operators in the fuzzy environment and… Click to show full abstract
Fuzzy hidden Markov model is the efficient way of finding an optimized path among the states where uncertainty exists. Aggregation operators replaced the conventional operators in the fuzzy environment and play a vital role in real-world problems. Here, the aggregation operators namely trapezoidal interval type-2 weighted arithmetic (TpIT2FFWA) and trapezoidal interval type-2 weighted geometric (TpIT2FFWG) operators have been derived and their desired properties also have been proved based on Frank triangular norms. Using the proposed operators and Viterbi algorithm, decision-making process has been analyzed to choose the best medicine company.
Journal Title: International Journal of Fuzzy Systems
Year Published: 2020
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