Abstract
This chapter focuses on the determination of fuzzy weights in multi-criteria decision making (MCDM). Various methods for fuzzy weight determination are explored, with a particular emphasis on the fuzzy least square error method and the fuzzy BWM (Best Worst Method). The chapter presents theoretical explanations of these methods and provides practical examples to illustrate their application. Through the examination of these methods and their solutions, readers gain insights into the process of assigning weights to criteria in MCDM problems, considering the inherent uncertainty and imprecision in decision-making situations. The chapter aims to enhance readers’ understanding of fuzzy weight determination methods and their potential applicability in real-world decision-making scenarios.
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A special thanks to the Iranian DEA society for their unwavering spiritual support and consensus in the writing of this book. Your invaluable support has been truly remarkable, and we are deeply grateful for the opportunity to collaborate with such esteemed professionals.
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Hosseinzadeh Lotfi, F., Allahviranloo, T., Pedrycz, W., Shahriari, M., Sharafi, H., Razipour GhalehJough, S. (2023). Weight Determination Methods in Fuzzy Environment. In: Fuzzy Decision Analysis: Multi Attribute Decision Making Approach. Studies in Computational Intelligence, vol 1121. Springer, Cham. https://doi.org/10.1007/978-3-031-44742-6_3
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DOI: https://doi.org/10.1007/978-3-031-44742-6_3
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