Evaluation of bipolar fuzzy soft sets in decision-making with a new approach

Abstract

Abstract In this paper, firstly, bipolar fuzzy sets and their properties found in the literature are examined. The definition of interval-valued fuzzy sets is given. Then, the definition and applications of bipolar soft sets are made. The positive degree and negative degree of the corresponding property of bipolar fuzzy sets are given in the relevant explanations, and their importance is emphasized. Additionally, operations between the elements of bipolar fuzzy sets are mentioned. An entropy measure has been defined in bipolar fuzzy sets. A new approach has been introduced to the decision process in bipolar fuzzy soft sets and a different algorithm has been created. By following the algorithm, some analysis and detection are obtained. Entropy measures and parameter values are evaluated together and tabulated. Additionally, a real-life example is given; the new approach is applied by analyzing parameters and symptoms in survival and mortality values in the hospital environment. As a result, the best few choices are determined in the decision process with the given algorithm. Since the algorithm steps and application are practical, it is recommended as a method to be applied in many data groups.