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.
Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.217-223, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_23〉
https://hal.inria.fr/hal-01521409
Contributeur : Hal Ifip
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Soumis le : jeudi 11 mai 2017 - 17:10:30
Dernière modification le : vendredi 1 décembre 2017 - 01:16:31
Document(s) archivé(s) le : samedi 12 août 2017 - 14:02:57
Vassilis Gerogiannis, Vasiliki Kazantzi, Leonidas Anthopoulos. A Hybrid Method for Evaluating Biomass Suppliers – Use of Intuitionistic Fuzzy Sets and Multi-Periodic Optimization. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.217-223, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_23〉. 〈hal-01521409〉
