Hesitant Fuzzy Linear Regression Model for Decision Making

An expert may experience difficulties in decision making when evaluating alternatives through a single assessment value hesitant environment. A fuzzy linear regression model (FLRM) is used for decision-making purposes, but this entirely unreasonable the presence of information. In order to overcome issue, paper, we define (HFLRM) account multicriteria (MCDM) problems The HFLRM provides an alternative approach statistical modelling situations where input–output variables are observed as elements (HFEs). parameters symmetric triangular numbers (STFNs) estimated solving programming (LP) model. application example presented measure effectiveness and significance our proposed methodology by MCDM problem. Moreover, results obtained employing compared with tool called technique preference similarity ideal solution (TOPSIS). Finally, Spearman’s rank correlation test two sets ranking.