In this paper, we propose, simulated and modelled, first time, a novel fuzzy inference processor capable of handling three types of membership functions together. To implement the proposed inference processor, a novel multi membership function (MMF) MAX-MIN calculator circuit, calculating the matching degree (MD) between three types of membership functions (MF): Gaussian, Trapezoid and Triangul...

Problem statement: Software development effort estimation is the process of predicting the most realistic use of effort required for developing software based on some parameters. It has always characterized one of the biggest challenges in Computer Science for the last decades. Because time and cost estimate at the early stages of the software development are the most difficult to obtain and th...

The paper presents a novel type of fuzzy sets, called time-Varying Fuzzy Sets (VFS). These fuzzy sets are based on the Gaussian membership functions, they are depended on the error and they are characterized by the displacement of the kernels to both right and left side of the universe of discourse, the two extremes kernels of the universe are fixed for all time. In this work we focus only on t...

Fuzzification of support vector machine has been utilized to deal with outlier and noise problem. This importance is achieved, by the means of fuzzy membership function, which is generally built based on the distance of the points to the class centroid. The focus of this research is twofold. Firstly, by taking the advantage of robust statistics in the fuzzy SVM, more emphasis on reducing the im...

multi objective quadratic fractional programming (moqfp) problem involves optimization of several objective functions in the form of a ratio of numerator and denominator functions which involve both contains linear and quadratic forms with the assumption that the set of feasible solutions is a convex polyhedral with a nite number of extreme points and the denominator part of each of the object...

driven precast reinforced concrete piles (dprcp) is extensively used as a foundation for bridges constructed over canals in egypt in order to avoid the diversion of water canals. the objectives of this research include identifying the main activities of dprcp execution in the bridge-construction industry in egypt and the risk factors affecting them. in addition, assessment of the effects of the...

 Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...

The Gaussian mixture model (GMM) provides a simple yet principled framework for clustering, with properties suitable statistical inference. In this paper, we propose new model-based clustering algorithm, called EGMM (evidential GMM), in the theoretical of belief functions to better characterize cluster-membership uncertainty. With mass function representing cluster membership each object, evide...

In this paper we continue to investigate the important parameter of global warming a heat wave that has no unique definition and represents the constellation of different factors such as e.g., heat index (temperature + humidity), time periods of excessive heat, etc. We find typical characteristics of heat indexes during different time periods, using most typical fuzzy expected values. Trapezoid...

In principle, we can have many different membership functions. Interestingly, however, in many practical applications, triangular and trapezoidal membership functions are the most efficient ones. In this paper, we use fuzzy approach to explain this empirical phenomenon.