Determination Method for Index Weights of Logistics Information Systems in a Mass Customization Environment

Abstract

To address the challenge of representing key index weights of logistics information systems in a mass customization environment using multi-granularity mixed semantic phrases, a method for determining index weights based on complex semantic information is proposed. First, an integrated method processes the multi-granularity mixed semantic variables to obtain initial index weights. Second, the probability of uncertain semantic information is calculated to determine the correction coefficient for key indicators of logistics information systems. Finally, the initial index weights and correction coefficients are synthesized to derive the final index weights. The effectiveness and feasibility of the proposed method are demonstrated using the selection of a logistics information system for a computer company as a case study.