Abstract
Fuzzy sets were presented by Zadeh in 1965 as a method of describing and managing data that was not concrete, but rather fuzzy. Fuzzy logic theory gives a mathematical foundation for capturing the inconsistencies inherent in human cognitive processes such as thinking and reasoning. Yager in 1988 presented a unique aggregation approach focusing on ordered weighted averaging (OWA) operators in response to the application of fuzzy logic. It was referred to as membership aggregation cumulative operators by him. Following on from this concept, other academics have highlighted the importance of the OWA weighting vector in a wide variety of implementations such as modelling and decision-making. The objective of this study is to provide an overview of OWA operators while also demonstrating their application in various domains.
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Gupta, S., Gupta, A., Agrawal, S. (2023). Handling Uncertain Environment Using OWA Operators: An Overview. In: Bansal, H.O., Ajmera, P.K., Joshi, S., Bansal, R.C., Shekhar, C. (eds) Next Generation Systems and Networks. BITS-EEE-CON 2022. Lecture Notes in Networks and Systems, vol 641. Springer, Singapore. https://doi.org/10.1007/978-981-99-0483-9_40
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DOI: https://doi.org/10.1007/978-981-99-0483-9_40
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