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Simple Additive Weighting (SAW) Method in Fuzzy Environment

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Fuzzy Decision Analysis: Multi Attribute Decision Making Approach

Abstract

This chapter explores the expansion of the Simple Additive Weighting (SAW) method in interval and fuzzy environments. The SAW method, a popular decision-making approach, is enhanced by incorporating interval arithmetic and fuzzy logic. Real-world examples illustrate the practical implications of the expanded SAW method, demonstrating its versatility in diverse domains. The abstract highlights the benefits and challenges of the interval and fuzzy SAW method and emphasizes its potential as a valuable tool for informed decision-making in uncertain and imprecise contexts.

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Acknowledgement

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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Correspondence to Farhad Hosseinzadeh Lotfi .

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Hosseinzadeh Lotfi, F., Allahviranloo, T., Pedrycz, W., Shahriari, M., Sharafi, H., Razipour GhalehJough, S. (2023). Simple Additive Weighting (SAW) Method 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_5

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