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

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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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Beyond Pioneer Quantum Mechanics,ersity of Salento. The purpose of the project was to provide three indexes that are based on the principle of sustainability and gender equality as a new tool to address public policies. Here we will focus our attention on one particular index definition and evaluation in a fuzzy way. This index we

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On the Structure of Scientific Theories,known as ., requires the application of a . over the gradients of luminosity values of the pixels. Traditionally, this is made through a local evaluation process that works pixel by pixel. As the edge candidate pixels are not independent, a wider strategy suggests the use of a more global evaluation

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Jochen Fricke,Andreas Emmerlingissimilarity measures on fuzzy sets..In this paper, we characterize t-norms which generate metrics from these measures. The obtained metrics are fuzzy versions of the well-known distance of cardinality of the symmetric difference of crisp sets. For an application point of view, we consider the seven

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Chemistry: The Key to our Sustainable Futuretrics. Despite this, the current state of the development of usable algorithms for numerically fitting the underlying discrete fuzzy measure based on a sample of prototypical values – even in the simplest possible case, i.e., assuming the symmetry of the capacity – is yet to reach a satisfactory lev

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