This work aims to develop a practical study of the uninorms as rule antecedent aggregation operator family in Linguistic Fuzzy Modeling. Although they are well known from a theoretical point of view, they have only recently been introduced in a few specific and recent applications. Uninorms are parameterized operators that combine the membership values in the antecedent in a more flexible way t...

Despite the popularity and practical importance of fuzzy inference system (FIS), use an FIS model as n -ary aggregation function, which is characterized by both monotonicity boundary properties, yet to be established. This because research on ensuring that models satisfy property, i.e., monoton...

Reaching a high level of consensus among experts is critical in group decision making problems. Usually, it is the moderator task to assure that the consensus process is carried out properly and, if possible, to offer recommendations to the expert in order to change their opinions and narrow their differences. In this paper we present an implemented web based consensus support system that is ab...

Methodology for Designing a Fuzzy Resolver for a Radial Distribution System Fault Locator. (December 2005) Jun Li, B.Eng.; M.Eng., Xi’an Jiaotong University Chair of Advisory Committee: Dr. Karen L. Butler-Purry Dr. B. Don Russell The Power System Automation Lab at Texas A&M University developed a fault location scheme that can be used for radial distribution systems. When a fault occurs, the s...

The power of different intelligent techniques, such as Artificial Neural Networks (ANNs), have been demonstrated over the years by their successful use in many types of problems with different degrees of complexity and in different fields of application. However, the use of a machine learning solution involves choosing a particular model and properly tuning a set of parameters that, together, c...

we give the concept of ‘braiding’ for 2-groupoids, and we show that this structure is equivalent tobraided regular, crossed modules.

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In this paper, we introduce the concepts of $2$-isometry, collinearity, $2$%-Lipschitz mapping in $2$-fuzzy $2$-normed linear spaces. Also, we give anew generalization of the Mazur-Ulam theorem when $X$ is a $2$-fuzzy $2$%-normed linear space or $Im (X)$ is a fuzzy $2$-normed linear space, thatis, the Mazur-Ulam theorem holds, when the $2$-isometry mapped to a $2$%-fuzzy $2$-normed linear space...