Abstract
The chapter begins by discussing the conventional CRITIC method and its algorithm, providing a foundation for understanding the subsequent introduction of the fuzzy variant. An example scenario is presented to demonstrate the evaluation and prioritization of projects based on seven specific criteria. The CRITIC method is applied, allowing decision-makers to assess the relative importance of each criterion and make informed decisions regarding project selection. Subsequently, the chapter introduces the fuzzy extension of the CRITIC method. The algorithm of the fuzzy CRITIC is explained in detail, highlighting the utilization of fuzzy data to represent uncertain and imprecise information in decision-making. To illustrate the application of the fuzzy CRITIC method, a case study is presented involving the search for an optimal location for a solar farm. Fuzzy trapezoidal data is utilized to capture the inherent uncertainty associated with various location factors. The combination of theoretical explanations, algorithmic discussions, and practical examples offers a comprehensive understanding of the fuzzy CRITIC method's potential for decision-making in complex and uncertain environments.
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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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Hosseinzadeh Lotfi, F., Allahviranloo, T., Pedrycz, W., Shahriari, M., Sharafi, H., Razipour GhalehJough, S. (2023). The Criteria Importance Through Inter-Criteria Correlation (CRITIC) in Uncertainty 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_13
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DOI: https://doi.org/10.1007/978-3-031-44742-6_13
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