Logarithmic least squares approaches to deriving interval weights, rectifying inconsistency and estimating missing values for interval multiplicative preference relations

摘要: The aim of this paper is to develop logarithmic least squares prioritization and completion methods for interval multiplicative preference relations. A parameterized transformation formula proposed convert a normalized weight vector into consistent relation. model established derive from an relation construct the optimized Subsequently, built rectify inconsistency complete without consistency, developed estimate missing values incomplete Several numerical examples are examined illustrate validity applicability methods, comparisons with other existing also made.