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The problem of learning nonlinear multiple input single output (MISO) systems is considered. The usually applied procedure for the identification of these systems is analysed and the shortcomings of the commonly used structures are described. Based on ...

This paper presents an online identification algorithm based on instrumental variable evolving neuro fuzzy model applied to dynamic systems in noisy enviroment. The adopted methodology is based an online neuro-fuzzy inference system with Takagi-Sugeno ...

A strategy to nonlinear dynamic system identification based on Fuzzy Kalman Filter, is proposed. A mathematical formulation based on fuzzy Takagi-Sugeno structure is presented: the algorithm FCM estimates the fuzzy sets; from the data input and output of ...

Classification systems based on Fuzzy Logic are of particular importance in the ambit of cognitive systems, due to their ability of managing uncertainty and presenting interpretable knowledge bases by emulating human cognition processes. However, the ...

Attention has been shown to be a predictor of flight performance and, therefore, it is necessary to assess this cognitive ability to evaluate candidate aviation pilots and to verify if the pilot has the sufficient attention level required for the flight ...

This paper studies an uncertain time-dependent vehicle routing problem with soft time windows. A novel mathematical model which considers both transportation costs (total traveling distance and number of vehicles) and service costs (early and late ...

In this paper, the sequence of continuous maps defined on a compact metric space and its zadeh's extensions are discussed. The main aim of this work is to study the turbulence, erratic property and expansiveness between the non-autonomous dynamical ...

In many applications domains, time modeling has a fundamental role. Allen temporal relations are one of the most used and known formalisms for modeling and handling temporal data. However, classical Allen relations deal only with crisp time information, ...

In this paper, we propose a novel approach to unsupervised and online data classification. The algorithm is based on the statistical analysis of selected features and development of a self-evolving fuzzy-rule-basis. It starts learning from an empty rule ...

Evolving intelligent systems are useful for processing online data streams. This paper presents an evolving granular neuro-fuzzy modeling framework and an application example on the modeling of the Rossler chaos. The evolving Granular Neural Network (eGNN)...

This paper proposes a set of evolving Takagi-Sugeno-Kang (TSK) fuzzy models of the nonlinear dynamic mechanisms occurring in the myoelectric-based control of prosthetic hand fingers. The rule bases and the parameters of the TSK fuzzy models are evolved by ...

Application of fuzzy rule interpolation (FRI) has been escalating for making intelligent systems viable in many areas. However, requirements of such systems may change over time and the supporting static rule base may not be able to provide accurate ...

Weather nowcasting is a short-range forecasting that maps current weather, then uses an estimation of its speed and direction of movement to forecast weather in a short period ahead — assuming the weather will move without significant changes. It ...

The use of Fuzzy Inference System (FIS) in decision making problems has received little attention so far. This may be due to the difficulty in gathering a complete set of fuzzy rules, which is free from noise, and the complexity in constructing an FIS ...

Fuzzy modelling has been widely and successfully applied to control problems. Traditional fuzzy modelling requires either complete experts' knowledge or large data sets to generate rule bases such that the input spaces can be fully covered. Although fuzzy ...

Fuzzy inference systems have been successfully applied to many real-world applications. Traditional fuzzy inference systems are only applicable to problems with dense rule bases by which the entire input domain is fully covered, whilst fuzzy rule ...

In this paper we stress the relevance of those fuzzy models that impose a couple of simultaneous views in order to represent concepts. In particular, we point out that the basic model to start with should contain at least two somehow opposite valuations ...

In this paper, we introduce and investigate a non-commutative generalization of quasi-MV algebras, called pseudo-quasi-MV algebras (pseudo-qMV algebras for short). And then we characterize the bijective relation between ideal congruences and normal ideals ...

This paper aims to study the correlation between Atanassov's intuitionistic fuzzy sets (A-IFSs) obtained as image of strong intuitionistic fuzzy negations. We consider the action of strong fuzzy negations in order to verify the conditions under which the ...

In this paper some theoretical facts about concresor based on Kleenean relations are introduced. It makes way to the proposal of a new scheme for fuzzy controller based on Kleenean relations using fuzzy convex combination. It solves the election problem ...

Short circuit, short cut, or by other name, lazy evaluations play important roles in various fields of computer science including logic, hardware design, programming, decision making. In this paper, one of the best known and used fuzzy logic systems, the ...

Acute kidney injury (AKI) affects 5 to 7% of all hospitalized patients, with a much higher incidence in the critically ill. Although AKI patients have increased risks of death in the intensive care units (ICU) and in the short term, few studies examined ...

Due to rapidly ageing population, the need for care and attention homes for the elderly and patient with chronic illnesses has increased significantly in recent years. However, the continuous increase in operation and medical costs and the problem of ...

Improving the accessibility to the information stored in the Electronic Health Records (EHRs) and the usability of the Hospital Information Systems (HISs), is an important issue to solve currently, due to the great impact that they have in the quality of ...

Prospective memory (PM) failure, which is the failure to recall future events or intentions, can lead to serious consequences. Although many PM aid systems have been developed, there are three critical challenges which are yet to be addressed by any ...

Medical Information Retrieval (IR) aims to extract relevant medical information from the web, patients' records, electronic books, research articles etc. However, users are generally unfamiliar with medical terms and find difficulties expressing their ...

A Gaussian mixture model (GMM), coupled with possibilistic clustering is used to build an adaptive system for analyzing streaming multi-dimensional activity feature vector with the goal of identifying signs of early diseases. The system is based on ...

Gödel propositional logic is one of the major t-norm based fuzzy logics. Axiomatically, Gödel propositional logic G arises by extending intuitionistic propositional logic with the prelinearity axiom scheme (φ → ψ) &#...

Gödel logic and its algebraic semantics, namely, the variety of Gödel algebras, play a major rôle in mathematical fuzzy logic. The category of finite Gödel algebras and their homomorphisms is dually equivalent to the category ...

Formal Concept Analysis (FCA) and its fuzzy extension have been widely used to arrange data into a lattice that is an effective data structure useful to address several aims, such as: data mining, ontology learning and merging, and so on. In literature it ...