Tavana, MadjidFallahpour, AlirezaDi Caprio, DeboraSantos Arteaga, Francisco Javier2025-11-252025-11-252016-11-01Madjid Tavana, Alireza Fallahpour, Debora Di Caprio, Francisco J. Santos-Arteaga, A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection, Expert Systems with Applications, Volume 61, 2016, Pages 129-144, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2016.05.027.0957-417410.1016/j.eswa.2016.05.027https://hdl.handle.net/20.500.14352/126499Supplier evaluation and selection constitutes a central issue in supply chain management (SCM). However, the data on which to base the corresponding choices in real life problems are often imprecise or vague, which has led to the introduction of fuzzy approaches. Predictive intelligent-based techniques, such as Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS), have been recently applied in different research fields to model fuzzy multi-criteria decision processes where the understanding and learning of the relationships between the input and output data are the key to select suitable solutions. In this paper, a hybrid ANFIS-ANN model is proposed to assist managers in their supplier evaluation process. After aggregating the data set through the Analytical Hierarchy Process (AHP), the most influential criteria on the suppliers’ performance are determined by ANFIS. Then, Multi-Layer Perceptron (MLP) is used to predict and rank the suppliers’ performance based on the most effective criteria. A case study is presented to illustrate the main steps of the model and show its accuracy in prediction. A battery of parametric tests and sensitivity analyses has been implemented to evaluate the overall performance of several models based on different effective criteria combinations.engjournal articlehttps://www.sciencedirect.com/science/article/pii/S0957417416302524metadata only access519.8Supplier selectionArtificial neural networkAdaptive neuro fuzzy inference systemCriteria selectionPredictionInvestigación operativa (Matemáticas)1207 Investigación Operativa