Decision-Support Model for Agricultural Information Systems With Probabilistic Double Hierarchy Linguistic Term Set: Performance Evaluation of Digital Empowerment in Agricultural and Rural E-Commerce

In order to better predict and evaluate the performance of digital empowerment in agricultural and rural e-commerce ecosystems, this article aims to construct a novel enhanced combination method for TOPSIS under probabilistic double hierarchy linguistic term sets (PDHLTSs), for predicting and evaluating the performance of digital empowerment in agricultural and rural e-commerce ecosystems. Then, the relative and overall advantages of each alternative, initially calculated by the classical TOPSIS method, are shown, resulting in the PDHL-TOPSIS method. This new method preserves the strengths of the traditional TOPSIS approach in assessing relative advantages. Finally, through numerical study for performance evaluation of digital empowerment in agricultural and rural e-commerce ecosystems and comparative analysis with existing decision-making methods, its scientific validity and effectiveness were demonstrated.