Abstract In the last few years, number of applications multidimensional fuzzy arithmetic (MFA) and interval is expanding. Authors new papers about MFA are often faced with comments from other researchers, especially gradual (GA) proponents, that horizontal membership function (HMF) used in same as inverse (InvMF) GA, itself adds nothing to arithmetic. This view leads unfair evaluations scientif...

an estimation problem of the mean µ of an inverse gaussian distribution ig(µ, c µ) with known coefficient of variation c is treated as a decision problem with entropy loss function. a class of bayes estimators is constructed, and shown to include mrse estimator as its closure. two important members of this class can easily be computed using continued fractions

in this paper, two sets of sufficient conditions are obtained to ensure the existence and stability of a unique equilibrium point of unforced first-order fuzzy relational dynamical systems by using two different approaches which are both based on the fuzzy relational matrix of the model.in the first approach, the equilibrium point of the system is one of the centers of the related membership fu...

the linear multiobjective transportation problem is a special type of vector minimum problem in which constraints are all equality type and the objectives are conicting in nature. this paper presents an application of fuzzy goal programming to the linear multiobjective transportation problem. in this paper, we use a special type of nonlinear (hyperbolic and exponential) membership functions to ...

The era of big data has come. Today, all kinds information and are showing explosive growth. Internet activities different scales struggling to catch up with the pace development "big data. This paper uses time series mining algorithms, Microsoft's tools model sets collected from halls, so as discover user's online behaviour patterns potential rules within a certain period time. we made reasona...

unknown noise and artifacts present in medical signals with  non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear  structure presented  for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...

a manufacturing process cannot be released to production until it has been proven to be stable. also, we cannot begin to talk about process capability until we have demonstrated stability in our process. this means that the process variation is the result of random causes only and all assignable or special causes have been removed. in complicated manufacturing processes, such as drilling proces...

Fuzzy control theory has been extensively used in the construction of complex fuzzy inference systems. However, we argue that existing technologies focus mainly on single-source information system, disregarding complementary nature multi-source data. In this paper, develop a novel Gaussian-shaped Inference System (GFIS) driven by To end, first propose an interval-value normalization method to a...

this article, by leaving pre-determined membership function of a fuzzy set which is a basic assumption for such subject, will try to propose a hybrid technique to select the most economic project among alternative projects in fuzziness interest rates condition. in this way, net present worth (npw) would be the economic indicator. this article tries to challenge the assumption of large sample si...

In this paper, we propose fuzzy c-means (FCM) method based on Gaussian function for improving magnetic resonance imaging (MRI) segmentation. The proposed algorithm is formulated by modifying the objective function of the standard FCM algorithm to allow the labeling of a pixel to be influenced by other pixels to suppress the noise effect during segmentation processes. The proposed algorithm is f...