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Fuzzy Similarity Measure (FSM) is one of the most used techniques for classification, pattern recognition or knowledge reduction. While many type-1 FSMs exist, few ones exist for type-2 fuzzy sets. In this paper, we introduce three similarity measures between Interval Type-2 Fuzzy Sets (IT-2 FSs) as an extension of some distance measures between Intuitionistic Fuzzy Sets (IFSs). Many definitions and...
In this paper, we propose to present a novel numerical information fusion method at the feature level. This method is based on the possibility theory using the Beta function and the type1 fuzzy theory. In this method, we proceed to estimate the possibility distribution of the numerical features by using the Beta function. So, we constitute the Beta-possbilistic knowledge base. Then, this Beta-possibilistic...
In the automated search system, similarity is a key concept for solving the human task. The human process is a natural categorization, which underlies many natural abilities such as image recovery, language comprehension, decision making or pattern recognition. In this paper, the focus is on the use of similarities in image retrieval search using near sets of similarity approaches. The results showed...
In this work we propose an approach of multi-criteria decision making (MCDM) using Elimination Et Choice Transiting Reality (ELECTRE) methods, interval-valued intuitionistic fuzzy (IVIF) sets and possibility theory. The proposition concerns the computation of concordance sets and discordance sets using possibility measures. The proposed approach is applied to select the best investment projects decision...
This study addresses evolutionary structure optimization and parameter tuning processes for evolving a proposed Hierarchical interval Type-2 Beta Fuzzy System (HT2BFS). The structure learning phase is performed in a multi-objective context by applying the Multi-Objective Extended Genetic Programming (MOEGP) algorithm. This phase aims to obtain a near-optimal structure of HT2BFS taking into account...
In this paper we proposed a writer adaptation system based on an adaptive fuzzy inference system (AFIS) that can be plug-in for any writer-independent handwriting recognition systems. The AFIS starts with an empty rule set. Subsequently, a supervised incremental learning algorithm is operated. When the user reports a misclassification, rule are added or updated. The proposed learning algorithm is...
Data clustering is an important step which evolves in many pattern recognition problems and decision making applications. This step had gained great interest and several approaches were proposed to improve the clustering quality. In this context, we proposed a new ensemble clustering system based on the use of a dynamic fuzzy exponent within fuzzy C-Means clustering, an unsupervised feature selection...
Traffic congestion leads to many problems, namely road users' dissatisfaction, air pollution and waste of time and fuel. For this reason, congestion detection at an early stage is required to perform an efficient exploitation of resources. This paper proposed a Hierarchical Type-2 Beta Fuzzy Knowledge Representation system for the selection of optimal route. Consequently, this system aims to avoid...
Text in natural scenes provides many information for peoples and presents an essential tool to interact with their environment. Therefore, recognizing text existing in camera-captured images has become an important issue for many researches in the last decades. Currently, there isn't any available dataset of Arabic script text images in the wild. Since our aim is to help the research community in...
This paper presents the principal phase of extraction and recognition of the basic emotions in the Arabic speech applied to five emotional states were taken into effect; neutral, sadness, fear, anger and happiness. Emotional speech database REGIM TES [1] [23] was created and evaluated to provide all practical experiences of extraction. The selected descriptors in our study are; Pitch of voice, Energy,...
Arabic character recognition is one of the most challenging tasks and exciting areas of research. In this one, we will present a mobile application for handwriting recognition. Our Mobile application proposes an approach for Arabic handwriting recognition based on the fact that handwriting is defined as a sequence of elementary and perceptual codes. After applying PerTOHS theory which is a perceptual...
A variety of fuzzy clustering methods exploit the Euclidean distance to quantify resemblance between data points. This distance is effective for revealing spherical clusters, but it does not perform well for data exhibiting more complicated geometry. So, in this paper, we present a new algorithm IFPCM with Minkowski distance applied on real and artificial datasets being generated according to various...
The work focus on new Electromagnetic Energy Recovery Unit (EERU), with a mono-switch structure characteristics. Besides, it presents a galvanic isolation and authorizes space low voltage through the presented related transformer processing report. The fuzzy logic based EERU unit is a fly back converter that operates as an isolated buck-boost converter with an inductor split. This new presented economical...
Navigation of mobile robots in dynamic and unknown environments is usually cluttered with noise and errors. In the literature, several solutions have been proposed. Recently, type-2 fuzzy logic have showed having the ability to handle uncertainties, imprecise and incomplete data. Since, it has been constituted a new hopeful and promising technique for further improve control of mobile robots in real...
Smart City automation has become crucial notion for improving the quality of the citizens' lives, which gives growth to smart cities. Such improvement requires an increase in the number of Electronic Control Units (ECUs) and networking technologies in the automotive field and, consequently in the amount of exchanged signals and messages on the in-vehicle network. This upgrading imposed new requirements...
In this paper, we present the important role of alpha band for the evaluation of the drowsiness degree. By filtering the alpha band and by using the power spectral density of that same band, our data were analyzed using the percentiles as measures of dispersion. A threshold discriminating the two states was found, which helped to highlight the area of the brain responsible for the state of drowsiness...
In recent years, growing attention has been paid to recognizing text in natural scenes images. Scene Character recognition (SCR) is an important step in automatizing the process of reading text in natural scenes.
The problems of our life can have many solutions (alternatives) and can be resolved based on different criteria (attributes). Thus, different weight methods exist on literature to accord an importance for each criteria. In this work TOPSIS, multi-criteria decision making (MCDM) method is presented using intuitionistic fuzzy data set with different techniques of weight proposed in literature. Therefore,...
Nowadays, Internet users act deeply on Internet content through Web 2.0. They are increasingly directing Web 2.0 and so political, economic, financial and social environments all over the world and particularly in Tunisia that is suffering from environment unsteadiness since the political revolution in 2011. Thus, Web 2.0 monitoring, that requires the use of natural language processing tools, is becoming...
Text detection in natural scenes holds great importance in the field of research and still remains a challenge because of size, various fonts, line orientation, different illumination conditions, weak character and complex background in image. The contribution of the proposed method is filtering out complex backgrounds by utilizing two masks filtering based on text confidence map in the first step...
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