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Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems; László T Kóczy,Jesús‘Medina-Moreno,Alexander Šosta Book 2020 Spr

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https://doi.org/10.1007/978-3-662-10075-2PL, and examine its mathematical properties. A comparison of U2PL with U2PA and U2PM shows that U2PL possesses interesting mathematical properties. In particular, U2PM is the only of these three transformations that is max–min transitive.
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,Attribute Selection via Hellwig’s Algorithm for Atanassov’s Intuitionistic Fuzzy Sets,ample using real SPECT Heart data and analyze in detail the results obtained by Hellwig’s algorithm comparing them with other results from literature. Some advances and disadvantages of Hellwig’s method are presented.
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Triggering Probabilistic Neural Networks with Flower Pollination Algorithm,is paper, for the purpose of classification, this type of Neural Network is applied to data sets drawn from the UCI Machine Learning Repository. Moreover, we concentrate upon investigating the inertial parameters of FPA, as well as the overfitting aspect.
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,Generating Preference Relation Matrices from Utility Vectors Using Łukasiewicz Transitivity,PL, and examine its mathematical properties. A comparison of U2PL with U2PA and U2PM shows that U2PL possesses interesting mathematical properties. In particular, U2PM is the only of these three transformations that is max–min transitive.
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Hierarchical Fuzzy Decision Support Methodology for Dangerous Goods Packaging Design, a previous paper a fuzzy signature modeling the packaging decision was suggested, based on logistics expert opinions, in order to support the decision making process of choosing the right packaging system. The aim of this study is to improve the model and apply it for dangerous goods packaging.
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