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

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Sven Hartmann,Josef Küng,Ismail Khalil attract. There are empirical formulas that describe the dependence of the corresponding forces on the distance between the cells. In this paper, we provide a theoretical explanation for these empirical formulas.

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https://doi.org/10.1007/978-3-030-40814-5Computational Intelligence; Constraint Programming; Decision Making; Decision Making Under Constraints;

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978-3-030-40816-9Springer Nature Switzerland AG 2020

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Huiying Li,Yuanyuan Li,Feifei Xu,Xinyu ZhongThis paper is an investigation about primeness in quantales environment. It is proposed a new definition for prime ideal in noncommutative setting. As a consequence, fuzzy primeness can be defined in similar way to ring theory.

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Lecture Notes in Computer ScienceIn this contribution, we propose an ordinal sum construction of t-norms on bounded lattices from a system of lattices (endowed by t-norms) whose index set forms a bounded lattice. The ordinal sum construction is determined by a lattice-based sum of bounded lattices and interior operators.

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Paola Gómez,Rubby Casallas,Claudia RoncancioThis chapter shows a comparison of several t-norms and t-conorms used to compute the steady state of a fuzzy Markov chain. The effect of every of the selected norms over the mean and variance of a fuzzy Markov chain is evaluated using some simulations. Some recommendations and concluding remarks are given.

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How Quantum Computing Can Help with (Continuous) Optimization,much smaller quantum computation time .. In this paper, we show that for a continuous optimization problem, with quantum computing, we can reach almost the same speed-up: namely, we can reduce the non-quantum time . to a much shorter quantum computation time ..