Abstract
Zadeh (1994) introduced the term “Soft Computing” for the first time. He used the term to mean systems that “exploit the tolerance for imprecision, uncertainty, and partial truth to achieve tractability, robustness, low solution cost, and better rapport with reliability”. It includes fuzzy logic, neural computing, evolutionary computing and probabilistic computing as main methodologies. Like any other concept, also Soft Computing has many definitions.
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Leiviskä, K. (2001). Basics of Soft Computing Methods. In: Leiviskä, K. (eds) Industrial Applications of Soft Computing. Studies in Fuzziness and Soft Computing, vol 71. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1822-2_1
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DOI: https://doi.org/10.1007/978-3-7908-1822-2_1
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