Abstract
Uncertainty management in decision making problems (DMPs) is a big issue for researchers. To completely depict statistical and non-statistical uncertainty in a single framework a hesitant probabilistic fuzzy set based MCDM method is developed. The developed probabilistic hesitant fuzzy (PHF) based decision-making framework is better than the other MCDM methods. In this work of HFEs, a probabilistic information is introduced which makes this method useful in order to ensure the integrality and the accuracy of hesitant fuzzy information. To illustrate developed method, a real case study is taken to find the ranking of stock organizations using real data.
Published Version
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