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

Vassilis C. Gerogiannis, Vasiliki Kazantzi, Leonidas Anthopoulos

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    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.

    Original languageEnglish
    Title of host publicationArtificial Intelligence Applications and Innovations - 8th IFIP WG 12.5 International Conference, AIAI 2012, Proceedings
    Pages217-223
    Number of pages7
    Volume381 AICT
    EditionPART 1
    DOIs
    Publication statusPublished - 2012
    Event8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012 - Halkidiki, Greece
    Duration: 27 Sep 201230 Sep 2012

    Publication series

    NameIFIP Advances in Information and Communication Technology
    NumberPART 1
    Volume381 AICT
    ISSN (Print)1868-4238

    Other

    Other8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012
    Country/TerritoryGreece
    CityHalkidiki
    Period27/09/1230/09/12

    Keywords

    • Biomass Supplier Evaluation
    • Intuitionistic Fuzzy Sets
    • Multi- Periodic Optimization

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