Abstract : Evaluation of biomass suppliers is a time-dependent problem that requires assessment of different supply schemes in different periods. This paper presents a hybrid method for evaluating biomass suppliers that combines Intuitionistic Fuzzy Sets (IFS), linear programming (LP) and multi-periodic optimization (MPO). IFS allow evaluators to express their hesitation when they assess alternative suppliers. LP is used to estimate weights of evaluation criteria and calculate suppliers’ ratings in a specific period. These ratings are utilized by a MPO model to determine what type and how much feedstock should be supplied by each supplier in each period.
https://hal.inria.fr/hal-01521409 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Thursday, May 11, 2017 - 5:10:30 PM Last modification on : Thursday, March 5, 2020 - 5:41:38 PM Long-term archiving on: : Saturday, August 12, 2017 - 2:02:57 PM
Vassilis C. Gerogiannis, Vasiliki Kazantzi, Leonidas Anthopoulos. A Hybrid Method for Evaluating Biomass Suppliers – Use of Intuitionistic Fuzzy Sets and Multi-Periodic Optimization. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.217-223, ⟨10.1007/978-3-642-33409-2_23⟩. ⟨hal-01521409⟩