Abstract
Knowledge itself is a fuzzy asset that evolves over time. This characteristic makes it hard to classify in a crisp way and to draw sharp borders between different domains, which fulfill the role of branches. Hence, it is necessary to use methods and techniques, such as fuzzy logic and granular computing, to cope with vagueness, imprecision, and uncertainty. As a result, in the first Sect. 4.1 the concept behind fuzzy logic will be elaborated and how it can be used to deal with the described characteristic of knowledge. In Sect. 4.2, the focus will be applied on granular computing, which derives from fuzzy logic.
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Denzler, A. (2019). Fuzzy Logic and Granular Computing. In: Granular Knowledge Cube. Fuzzy Management Methods. Springer, Cham. https://doi.org/10.1007/978-3-030-22978-8_4
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DOI: https://doi.org/10.1007/978-3-030-22978-8_4
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-22978-8
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