Titlebook: Constraint Programming and Decision Making: Theory and Applications; Martine Ceberio,Vladik Kreinovich Book 2018 Springer International Pu

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Optimizing pred(25) Is NP-Hard,of this method is that for linear models, it leads to an easy-to-solve system of linear equations. A limitation of this method is that even a single outlier can ruin the corresponding estimates; thus, more robust methods are needed. In particular, in software engineering, often, a more robust pred(2

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Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-valued Functions (ons. A traditional definition of a computable function, however, covers only continuous functions. In many applications (e.g., in phase transitions), physical phenomena are described by discontinuous or multi-valued functions (a.k.a.?constraints). In this paper, we provide a physics-motivated defini

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Algebraic Product is the only T-norm for Which Optimization Under Fuzzy Constraints is Scale-Invariresulting solution, in general, depends on the choice of a not well-defined constant .. We show that this dependence disappears if we use an algebraic t-norm (and-operation) ., and we also prove that the algebraic product is the only t-norm for which the corresponding solution is independent on ..

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On Modeling Multi-experts Multi-criteria Decision-Making Argumentation and Disagreement: Philosophirts multi-criteria decision-making (ME-MCDM), while providing an epistemic conceptualization of experts as epistemic peers. We explore some preliminary outcomes of using Dung’s computational framework for argumentation in ME-MCDM with conceptual considerations on the role of formal constraints and r

錯(cuò)誤

Positive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix,investigate the problem of checking whether for each (or some) setting of the parameters, the matrix is positive definite (or positive semidefinite). We state a characterization in the form of equivalent conditions, and also propose some computationally cheap sufficient / necessary conditions. Our r