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

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樓主: breath-focus
51#
發(fā)表于 2025-3-30 08:44:10 | 只看該作者
Emerging Developments and Future Questions,synthesis problem consists of obtaining a fixed structure QFT controller that ensures robust stability and achieves the robust performance specifications. The proposed method uses interval consistency technique (Hull Consistency- HC4) and hybrid optimization. The HC4 method is used to the remove inc
52#
發(fā)表于 2025-3-30 13:57:25 | 只看該作者
Trauma and Recovery Within Military Cultureugh, in general, the consistent conjectures are distinct from those of Cournot-Nash, we establish the following remarkable fact. Define a meta-game as such where the players are the same agents as in the original oligopoly but now using the conjectures as their strategies. Then the consistent conjec
53#
發(fā)表于 2025-3-30 17:18:42 | 只看該作者
54#
發(fā)表于 2025-3-30 21:53:14 | 只看該作者
55#
發(fā)表于 2025-3-31 04:52:44 | 只看該作者
56#
發(fā)表于 2025-3-31 06:12:09 | 只看該作者
https://doi.org/10.1007/978-3-319-16679-7ocal maxima (“peaks”) and local minima (“troughs”) and ignore all the other values. The empirical success of this strategy remains a mystery. In this paper, we provide a possible explanation for this success.
57#
發(fā)表于 2025-3-31 10:43:08 | 只看該作者
58#
發(fā)表于 2025-3-31 13:28:47 | 只看該作者
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 ..
59#
發(fā)表于 2025-3-31 19:56:22 | 只看該作者
Comparing Operation Points in Linear Programming with Fuzzy Constraints,here is no certainty of implementing optimal solutions given by fuzzy optimization models, so in many cases the problem has to be solved using crisp available information. In this chapter, we provide a mathematical framework for comparing optimal to crisp solutions of a linear programming problem under fuzzy constraints.
60#
發(fā)表于 2025-4-1 00:06:08 | 只看該作者
Peak-End Rule: A Utility-Based Explanation,santness. While this peak-end rule is empirically supported by numerous psychological experiments, it seems to contradict our general theoretical ideas about people’s preferences. In this paper, we show that, contrary to this impression, the end-peak rule can be justified based on the main ideas of the traditional utility-based decision theory.
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