Titlebook: Decision Making under Constraints; Martine Ceberio,Vladik Kreinovich Book 2020 Springer Nature Switzerland AG 2020 Computational Intellige

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Wojciech Macyna,Michal Kukowskingly, for global maxima, the situation is different: even if we only know the number of locations where the . maximum is attained, then, in general, it is not algorithmically possible to find all these locations. A similar impossibility result holds for local maxima if instead of knowing their exact number, we only know two possible numbers.

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Lecture Notes in Computer Sciencether, we propose the notion of nondeterministic fuzzy specifications (NFSs) to specify the behavior of NFDESs and introduce a satisfaction relation between NFDESs and NFSs. If such a relation exists, then at least one knows that there is no unwanted behavior in the system.

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Fuzzy Systems Are Universal Approximators for Random Dependencies: A Simplified Proof,alues . with different probabilities. It has been proven that fuzzy systems are universal approximators for such random dependencies as well. However, the existing proofs are very complicated and not intuitive. In this paper, we provide a simplified proof of this universal approximation property.

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Book 2020e annual International Workshops on Constraint Programming and Decision Making focus on cross-fertilization between different areas, attracting researchers and practitioners from around the globe. The book includes numerous papers describing applications, in particular, applications to engineering,

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