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Assessing agro-food waste valorization challenges and solutions considering smart technologies: an integrated Fermatean fuzzy multi-criteria decision-making approach

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  • Hongjuan Zhang

    (Nanjing University of Aeronautics and Astronautics)

Abstract

With the growth of worldwide population and depletion of natural resources, the sustainable development of food system can?t be ignored. The demand for agri-food waste valorization practices like high-value compounds production has received widespread attention; however, numerous challenges still exist. The present study aims to identify those challenges of agri-food waste valorization and propose effective solutions based on smart technologies. Based on a systematic literature review, the study combs existing challenges of agri-food waste valorization and constructs a six-dimension conceptual model of agri-food waste valorization challenges. Moreover, the study integrates Fermatean fuzzy set (FFS) with multi-criteria decision-making (MCDM) methods including Stepwise Weight Assessment Ratio Analysis (SWARA), Decision-making Trial and Evaluation Laboratory-Interpretative Structural Modeling Method (DEMATEL-ISM), and Quality Function Deployment (QFD) to evaluate the weights of each dimension, find causal interrelationships among the challenges and fundamental ones, and rank the potential smart solutions. Finally, the results indicate the "Government" dimension is the severest challenge and point out five primary challenges in agri-food waste valorization. Besides, the most potential smart solution is the ?Facilitating connectivity and information sharing between supply chain members(S8)?, which may help government and related practitioners manage agri-food waste efficiently and also facilitate circular economy.

Suggested Citation

  • Hongjuan Zhang, 0000. "Assessing agro-food waste valorization challenges and solutions considering smart technologies: an integrated Fermatean fuzzy multi-criteria decision-making approach," Proceedings of Economics and Finance Conferences 14416198, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iefpro:14416198
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    References listed on IDEAS

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    Keywords

    agri-food waste valorization; smart technology; Fermatean fuzzy set; SWRAR; DEMATEL-ISM; QFD;
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