An integrated decision-making COPRAS approach to probabilistic hesitant fuzzy set information

Abstract The paper aims to present an integrated approach solve the decision-making problem under probabilistic hesitant fuzzy information (PHFI) features, which is extension of set. considered PHFI not only allows multiple opinions, but also associates occurrence probability each opinion, increases reliability information. Motivated by these features PHFI, presented decision with partial known about attribute and expert weights. In addition, algorithm for finding some missing values in preference stated their properties. Afterward, Hamy mean operator has been used aggregate different collective into a single one. Also, we COPRAS method ranking given alternatives. demonstrated through case study cloud vendor selection its validity revealed comparing results several existing results.