Showing 1 - 10 of 588
fuzzy numbers (IVIFNs). The entropy measure for IVIFNs, studied by Ye [2010a], is used to aggregate these decision matrices …. We also introduce a new definition of cross entropy for IVIFNs and used it to rank the alternatives. Finally, an example …
Persistent link: https://www.econbiz.de/10011279164
-aggregations are typically made using expert judgments or simple area-weighting rules. We describe a new, entropy-based approach to …-cut approaches to spatializing crop production statistics and showed that, while computationally intensive, the cross-entropy method …
Persistent link: https://www.econbiz.de/10004996698
This paper presents cross entropy (CE) optimization for optimal design of water distribution networks (WDN) under … uncertain demands. The methodology is applied to two WDNs, and optimization models are solved through cross entropy optimization …
Persistent link: https://www.econbiz.de/10010997273
optimization problem. A cross-entropy-based solution method is also developed to solve the three-stage decision model. Numerical …
Persistent link: https://www.econbiz.de/10010906618
While the cross entropy methodology has been applied to a fair number of combinatorial optimization problems with a … cross entropy (MOCE) procedure for combinatorial optimization problems for which there is a linear relaxation (obtained by …
Persistent link: https://www.econbiz.de/10011209387
1, pages 119-136.<P> This paper reports simulation experiments, applying the cross entropy method such as the importance …
Persistent link: https://www.econbiz.de/10011255783
spatial data gaps we proposed a spatial allocation model. Using a classic cross-entropy approach, our spatial allocation model …
Persistent link: https://www.econbiz.de/10005338313
In this paper we ‘update’ the option implied probability of default (option iPoD) approach recently suggested in the literature. First, a numerically more stable objective function for the estimation of the risk neutral density is derived whose integrals can be solved analytically. Second,...
Persistent link: https://www.econbiz.de/10009318408
in real applications. In this paper, we propose a cross entropy multiagent learning algorithm, which considers an optimum … iteratively by minimizing Kullback-Leibler cross entropy in order to generate better solutions in next iterations. When applying …
Persistent link: https://www.econbiz.de/10009208414
distribution of individual crops. Priors are then submitted to an optimization model that uses cross-entropy principles and area …
Persistent link: https://www.econbiz.de/10005805119