Based on credibilistic value-at-risk (CVaR) of regularfuzzy variable, we introduce a new CVaR reduction method fortype-2 fuzzy variables. The reduced fuzzy variables arecharacterized by parametric possibility distributions. We establishsome useful analytical expressions for mean values and secondorder moments of common reduced fuzzy variables. The convex properties of second order moments with ...

Introduction: The periodic moment method, developed by Munk and colleagues at Ohio State University, is one of the most important and powerful contributions to numerical analysis of antenna arrays, frequency selective surfaces and gratings. PMM, with its extensions and improvements, can handle multiple dielectric layers and slotted metallic sheets, with wires partially inside a dielectric or ai...

Building recommendation algorithms is one of the most challenging tasks in Machine Learning. Although there has been significant progress in building recommendation systems when explicit feedback is available from the users in the form of rating or text, most of the applications do not receive such feedback. Here we consider the recommendation task where the available data is the record of the ...

fragility curves represent the probabilities that structural damages, under various levels of seismic excitation, will exceed the specified damage states by means of earthquake intensity damage relations. conceptual aspects related to seismic vulnerability, damage and risk evaluation are discussed first, together with a short review of the most widely used possibilities for the seismic evaluati...