Titlebook: Applying Fuzzy Logic for the Digital Economy and Society; Andreas Meier,Edy Portmann,Luis Terán Book 2019 Springer Nature Switzerland AG 2

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https://doi.org/10.1007/978-3-658-29632-2 Therefore, the implementation of z-numbers is taken into consideration, where it has more authority to describe the knowledge of human being and extensively used in the uncertain information development to deal with linguistic decision making problems. A case study on group of company in Malaysia i

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Applying Fuzzy Logic for the Digital Economy and Society

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Fuzzy Based Investment Portfolio Management,e language and the machines can understand is phenomenal where the traditional mean variance models are lagging. Also, the self-learning feature of the given models are better than the statistical modeling based optimization models. In addition to that, generation of large amount of vague data in to

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https://doi.org/10.1007/978-3-319-55886-8 is therefore needed for reflecting the right decision regarding these hypotheses. Different methods of testing hypotheses in a fuzzy environment have already been presented. On the basis of the classical approach, we intend to show how to accomplish a fuzzy test. In particular, we consider that the

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Riitta-Marja Leinonen,Karen Dalkelued generalization of Boolean algebra. After an extensive overview of the theoretical framework, we present two interpolative Boolean-based methods: logical clustering and logical DuPont. Both methods are extended to address portfolio selection problems. Logical clustering method for portfolio sele

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