A Hybrid Method for Evaluating Biomass Suppliers – Use of Intuitionistic Fuzzy Sets and Multi-Periodic Optimization - Artificial Intelligence Applications and Innovations - Part I (AIAI 2012) Access content directly
Conference Papers Year : 2012

A Hybrid Method for Evaluating Biomass Suppliers – Use of Intuitionistic Fuzzy Sets and Multi-Periodic Optimization

Vassilis C. Gerogiannis
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Vasiliki Kazantzi
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Leonidas Anthopoulos
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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.
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hal-01521409 , version 1 (11-05-2017)

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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⟩
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