A hybrid method for evaluating biomass suppliers - Use of intuitionistic fuzzy sets and multi-periodic optimization

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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. © 2012 IFIP International Federation for Information Processing.

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Gerogiannis, V. C., Kazantzi, V., & Anthopoulos, L. (2012). A hybrid method for evaluating biomass suppliers - Use of intuitionistic fuzzy sets and multi-periodic optimization. In IFIP Advances in Information and Communication Technology (Vol. 381 AICT, pp. 217–223). https://doi.org/10.1007/978-3-642-33409-2_23

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