Abstract
This paper presents hedges also known as concept modifiers on fuzzy soft sets. Hedges allow close ties to natural language and also allow query processing on the latest data repositories like data warehouses, big data and cloud data. Data repositories may require complex linguistic queries and at the same time efficient query processing also, while the requirements are vague and uncertain in natural languages. SQL is not able to handle such complex queries. This requires an additional application layer for computing hedges and defuzzification process. Hence, the presented framework scores a lot in terms of efficiency as well as the ability to handle linguistic queries along with aggregate operators.
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Uddagiri, C., Khare, N. (2020). Introduction to Concept Modifiers in Fuzzy Soft Sets for Efficient Query Processing. In: Venkata Krishna, P., Obaidat, M. (eds) Emerging Research in Data Engineering Systems and Computer Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-15-0135-7_60
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DOI: https://doi.org/10.1007/978-981-15-0135-7_60
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