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              <text>A Brief Review of Intelligent Rule Extraction Techniques</text>
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              <text>Fuzzy logic; Fuzzy rule interpolation; Genetic algorithms; Intelligent approaches; Neural networks; Rule extraction</text>
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              <text>Rule extraction is a process of extracting rules which helps in building domain knowledge. Rules plays an important role in reconciling financial transactions. This paper presents a brief study of intelligent methods for rule extraction. The paper touches upon heuristic, regression, fuzzy-based, evolutionary, and dynamic adaptive techniques for rule extraction. This paper also presents the state-of-the-art techniques used in dealing with numerical and linguistic data for rule extraction. The objective of the paper is to provide directional guidance to researchers working on rule extraction.  2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Gunjan A.; Bhattacharyya S.</text>
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              <text>Advances in Intelligent Systems and Computing, Vol-1333 AISC, pp. 115-122.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-33-6966-5_12" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-33-6966-5_12&lt;/a&gt;
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              <text>ISSN: 21945357; ISBN: 978-981336965-8</text>
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              <text>Gunjan A., Christ (Deemed to be University), Bangalore, India; Bhattacharyya S., Rajnagar Mahavidyalaya, Birbhum, India</text>
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