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Titlebook: Computational Intelligence; Revised and Selected Kurosh Madani,António Dourado,Janusz Kacprzyk Conference proceedings 2016 Springer Interna

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https://doi.org/10.1007/BFb0092416heory and Applications)] describes a new approach to mine business processes. We define bidirectional tree languages together with their finite models and show how they represent business processes. We offer an algebraic explanation for the phenomenon of an evolutionary metaheuristic “skeletal algor
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https://doi.org/10.1007/BFb0092416d. Approximating the function is one way to address this issue, but an alternative is conservation of function evaluations. GREEN-PSO (GR-PSO) adopts the latter approach: given a fixed number of function evaluations, GR-PSO conserves them by probabilistically choosing a subset of particles smaller t
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Mickaël D. Chekroun,Honghu Liu,Shouhong WangFLA) for minimising the conflicts in the students’s exams. The hybrid algorithm, named Hybrid SFLA (HSFLA), improves a population of frogs (solutions) by iteratively optimising each memeplex, and then shuffling the memeplexes in order to distribute the best performing frogs by the memeplexes. In eac
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Stochastic Analysis in Infinite Dimensions,affinity values for fuzzy connectedness segmentation procedure, which is the main stage of the processing. The fuzzy rules, generated for the system simulating a radiological analysis, are structured on the basis of Gaussian mixture model of analyzed image regions. For the model parameters estimatio
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Sergey V. Lototsky,Boris L. Rozovsky design by means of fuzzy logic, is highly recommended due to the fuzzy nature of the collaboration, distribution, interaction and design problems. In this paper, we propose a fuzzy agent model, where fuzzy agents grouped in communities interact and perform multiple fuzzy design roles to converge to
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SPDEs as Infinite-Dimensional SDEs,dditional component of multi-distance in forming a closeness coefficient. Ordered weighted averaging is also used in the aggregation process over fuzzy similarity values. For the ordered weighted averaging operator weight generation we use the O’Hagan’s method, to find optimal weights. Several diffe
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Stochastic Partial Differential Equationshe attributes available in the data, and then evaluating the prediction quality of the induced model. In this paper, we focus on supervised classification and models which have been obtained from datasets with few examples in relation with the number of attributes. Specifically, we propose a fuzzy d
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Stochastic partial differential equations,red in a non-structured way, but the times it is structured in databases it cannot be retrieved by using easy fuzzy queries: we need human intervention to determine how the non-fuzzy information stored needs to be combined and processed to answer a fuzzy query. We present a web interface for posing
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