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Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
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 that a novel approach for the estimation of local model networks or Takagi-Sugeno fuzzy systems is presented, which incorporates recent results of regularized...
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 evolving structure, which employs an adaptive distance norm based on the maximum likelihood criterion with instrumental variable recursive parameter...
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 a nonlinear dynamic system, the ERA/DC algorithm based on clustering, estimated by FCM algorithm, is applied to obtain the matrices A, B, C, and...
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 notion of interpretability is not yet exhaustively defined. In this work, the properties assessing the interpretability of a fuzzy classifier are discussed,...
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 duties.
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 arrivals) is developed, and the equations for calculating the expected total service costs are deduced under uncertainty and time-dependency. A variation...
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 systems and its corresponding fuzzified systems.
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, but time is often subjective and fuzzy. This paper discusses a disjunctive view of temporal relations between fuzzy time intervals. This approach...
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 basis and, instead of offline training, it learns “on-the-fly”. It is free of parameters and, thus, fuzzy rules, number, size or radius of the classes...
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) is able to deal with new events of nonstationary environments using fuzzy information granules and different types of aggregation neurons. An incremental...
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 an online identification algorithm. The experimental results prove the performance of the TSK fuzzy models by good output responses and root mean...
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 interpolation results in the long run. Dynamic fuzzy rule interpolation (D-FRI) is one of the potential solutions for this problem, a such has been developed...
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 operates through latest radar, satellite or observational data. However, flawed characterization of transitions between different meteorological structures...
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 model that is able to satisfy a number of important properties, including the monotonicity property. Previously, we have proposed a single-input Monotone-Interval...
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 rule interpolation (FRI) relaxes this requirement by approximating rules using their neighbouring ones, it is still difficult for some real world...
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 interpolation (FRI) is also able to work with sparse rule bases that may not cover certain observations. Thanks to its ability to work with fewer rules,...
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 plus a number of neutral concepts that are generated from the semantic relationship between those two opposites. Such a basic model should be distinguished...
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 of a pseudo-qMV algebra. Finally, we prove that pseudo-qMV algebras are categorically equivalent to pseudo-quasi-Wajsberg algebras which are the...
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 correlation coefficient related to such A-IFSs and their corresponding conjugate constructions are obtained. We attempt to present algebraic expressions...
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