Basic algorithms
Up one levelGeneral algorithms are presented for a numerical processing of uncertainty with the characteristics fuzziness, randomness, and fuzzy randomness, which are applicable to a wide range of problems in engineering and beyond.
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α-level optimization
- α-level optimization is a general method for a numerical processing of fuzziness as a basis for fuzzy analysis.
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Modified evolution strategy
- The modified evolution strategy is a numerical evolution-based optimization method that is particularly suitable for solving α-level optimization within the scope of a general fuzzy analysis.
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Cluster algorithms
- Finding groups in data
