Titlebook: Advances in Fuzzy Logic and Technology 2017; Proceedings of: EUSF Janusz Kacprzyk,Eulalia Szmidt,Maciej Krawczak Conference proceedings 201

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Conference proceedings 2018uting and related areas and to provide a platform for exchanging ideas and discussing the l.atest trends and ideas, while the aim of IWIFSGN’2017 was to discuss new developments in extensions of the concept of a fuzzy set, such as an intuitionistic fuzzy set, as well as other concepts, like that of

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M. G. Kanatzidis,S. D. Mahanti,T. P. Hogan fuzzy numbers (OFN, KFN) and a bee-based model. The second algorithm is the ABC, currently the best-known optimization algorithm based on a bee swarm. The last is the PSO algorithm, a method based on a herd of particles that mimic the behaviors of people or insects.

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https://doi.org/10.1007/978-3-031-06577-4s and cluster analysis, this paper presents the results of grouping the United States 2016 presidential candidates using linguistic appraisals collected from a political survey. To do this, we have developed an agglomerative hierarchical clustering procedure based on consensus through the concept of ordinal proximity measure.

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Janusz Kacprzyk,Eulalia Szmidt,Maciej KrawczakIncludes the proceedings of the 10th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2017) held in Warsaw, Poland, on September 11–15, 2017 combined with the Sixteenth Inter

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/a/image/148096.jpg

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Phonon Heat Conduction in Superlattices,on addressed by documents in every cluster is performed by automatically discovering cluster descriptors, which are relevant terms present in these documents. Since documents are represented by a high-dimensional feature space, the extraction of good descriptors is a big problem to be solved. This p