Titlebook: Recent Developments and the New Direction in Soft-Computing Foundations and Applications; Selected Papers from Shahnaz N. Shahbazova,Janusz

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When Is Data Processing Under Interval and Fuzzy Uncertainty Feasible: What if Few Inputs Interact? unctions? In this paper, we show that the problem remains NP-hard if we use different formulas to describe the inputs’ interaction, and it becomes feasible if we only have . interacting inputs—but remains NP-hard if the number of inputs is . for any ..

Anticonvulsants

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A Probabilistic Fuzzy Table Lookup Scheme with Negation Logicis implemented on two classic function types, i.e. an increasing sinusoid and a pyramid step function, with fast versus slow changes as well as with few versus many observations. Results indicate the improved performance of the proposed PFTLSwNL by up to 60% at particularly higher noise levels.

Binge-Drinking

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Optimization of Quadratic Forms and t-norm Forms on Interval Domain and Computational Complexityhe shape of this graph (e.g. the case with small sunflower leaves or the case with a restricted number of negative entries). Finally, we define a generalized quadratic form, called t-norm form, where the quadratic terms are replaced by t-norms. We prove that the optimization problem remains NP-hard with an . Lipschitz continuous t-norm.

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