The aim of this paper is to present the use of fuzzy logic for automatic control of industrial systems particularly the way to approach a problem of classification. We present a case study of a grading system of cereals that allows us to determine the price of transactions of cereals in Tunisia. Our contribution in this work consists in proposing not only an application of the fuzzy logic on th...

The evaluation of flotation reagents performs an important role in the selection and green application reagents. indexes effect collectors were selected by data literature method, system analysis mathematical model qualitative quantitative collectors, system, comprehensive established. normalization method expert methods adopted to obtain grade classification indicators, respectively. analytic ...

Background and aims: Depression disorder is one of the most common diseases, but the diagnosis is widely complicated and controversial because of interventions, overlapping and confusing nature of the disease. So, keeping previous patients’ profile seems effective for diagnosis and treatment of present patients. Use of this memory is latent in synthetic neuro-fuzzy algorithm. P...

Background: NK (natural killer) and NKT (natural killer T) cells, as components of innate immune system, play a crucial role in tumor progression and dissemination. Objective: To investigate the percentages of NK cells, NKT cells, iNKT (invariant natural killer T) cells, total T lymphocytes as well as activated T lymphocytes, in tumor draining lymph nodes (TDLN...

In this study, the average surface roughness values obtained when turning AISI 4140 grade tempered steel with a hardness of 51 HRC, were modeled using fuzzy logic, artificial neural networks (ANN) and multi-regression equations. Input variables consisted of cutting speed (V), feed rate (f) and depth of cut (a) while output variable was surface roughness (Ra). Fuzzy logic and ANN models were dev...

The formulation of strong and weak laws of large numbers for fuzzy random variables based on variance is given. The concept of the variance of fuzzy random variables, introduced by K1 orner (Fuzzy Sets and Systems 92 (1997) 83) and by Feng (Fuzzy Sets and Systems 120 (2001) 487) demonstrates its e2ciency. c © 2002 Elsevier Science B.V. All rights reserved.

This note points out a terminological clash between Atanassov's “intuitionistic fuzzy sets” and what is currently understood as intuitionistic logic. They differ both by their motivations and their underlying mathematical structure. Furthermore, Atanassov's construct is isomorphic to interval-valued fuzzy sets and other similar notions, even if their interpretive settings and motivation are qui...

In this article, we propose totally new grey clustering method and fuzzy comprehensive evaluation method and accordingly, a Matlab toolbox for grey clustering statistic and fuzzy comprehensive evaluation is developed. As an illustrative example, we use the toolbox developed for carrying on an analysis of the test scores of the Grade 3 at the National Changhua Girls’ Senior High School, Taiwan. ...

In this paper we introduce the notion of weak and strong intuitionistic fuzzy (Schauder) basis on an intuitionistic fuzzy n-normed linear space [5] and prove that an intuitionistic fuzzy n-normed linear space having a weak intuitionistic fuzzy basis is separable. Also we discuss approximation property on the same space. Mathematics Subject Classification: 03B20, 03B52, 46A99, 46H25

Background: The most common primary tumors of brain are gliomas. Grading of tumor is vital for designing proper treatment plans. The gold standard choice to determine the grade of glial tumor is biopsy which is an invasive method.Objective: In this study, we try to investigate the role of fractional anisotropy (diffusion anisotropy) and linear anisotropy ...