Papers by Sylvie Galichet
Book Review Consequently, we do not recommend this book to beginners with fuzzy systems. Indeed, ... more Book Review Consequently, we do not recommend this book to beginners with fuzzy systems. Indeed, in spite of its title, we think that this book does not present an "introduction to fuzzy systems''. On the contrary, confirmed readers with well-founded knowledge can probably find some interest in some advanced ideas.
Fuzzy linearizing control approach for a class of nonlinear discrete-time systems and its equivalence with internal model control structure
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)
Règles de classification avec conjonction d'implications en prémisse
National audienc
Optimistic Arithmetic Operators for Fuzzy and Gradual Intervals - Part II: Fuzzy and Gradual Interval Approach
Communications in Computer and Information Science, 2010
This part aims at extending the proposed interval operators detailed in the Part I to fuzzy and g... more This part aims at extending the proposed interval operators detailed in the Part I to fuzzy and gradual intervals. Recently, gradual numbers have been introduced as a means of extending standard interval computation methods to fuzzy and gradual intervals. In this paper, we combine the concepts of gradual numbers and the Midpoint-Radius (MR) representation to extend the interval proposed operators
Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228)
In this paper, an adaptive Takagi-Sugeno fuzzy controller for continuous nonlinear systems is pro... more In this paper, an adaptive Takagi-Sugeno fuzzy controller for continuous nonlinear systems is proposed. The controller is designed under the constraint that only the output of the plant is measured. A state observer is thus introduced in the global control structure. The nonlinear plant is approximated with a Takagi-Sugena fuzzy system whose parameters are adjusted via adaptive laws. Based on this representation, the control law is designed according to the Lyapunov and passivity theories. Stability of the algorithm is established with tracking errors converging to zero. Finally, in order to illustrate the feasibility of the proposed methodology. a real-time implementation for controlling a robot wrist is presented.
Fuzzy Sensors for Fuzzy Control
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1994
This paper introduces sensors employing a fuzzy numeric to symbolic interface. The fundamental de... more This paper introduces sensors employing a fuzzy numeric to symbolic interface. The fundamental design considerations for this kind of fuzzy symbolic sensor, or fuzzy sensor, are formally presented. Then, the use of these components for fuzzy control is discussed and illustrated.
International Journal of Approximate Reasoning, 2011
This paper proposes fuzzy symbolic modeling as a framework for intelligent data analysis and mode... more This paper proposes fuzzy symbolic modeling as a framework for intelligent data analysis and model interpretation in classification and regression problems. The fuzzy symbolic modeling approach is based on the eigenstructure analysis of the data similarity matrix to define the number of fuzzy rules in the model. Each fuzzy rule is associated with a symbol and is defined by a Gaussian membership function. The prototypes for the rules are computed by a clustering algorithm, and the model output parameters are computed as the solutions of a bounded quadratic optimization problem. In classification problems, the rules' parameters are interpreted as the rules' confidence. In regression problems, the rules' parameters are used to derive rules' confidences for classes that represent ranges of output variable values. The resulting model is evaluated based on a set of benchmark datasets for classification and regression problems. Nonparametric statistical tests were performed on the benchmark results, showing that the proposed approach produces compact fuzzy models with accuracy comparable to models produced by the standard modeling approaches. The resulting model is also exploited from the interpretability point of view, showing how the rule weights provide additional information to help in data and model understanding, such that it can be used as a decision support tool for the prediction of new data.
International Journal of Approximate Reasoning, 2004
Functional laws may be known only at a finite number of points, and then the function is complete... more Functional laws may be known only at a finite number of points, and then the function is completed by interpolation techniques obeying some smoothness conditions. We rather propose here to specify constraints by means of gradual rules for delimiting areas where the function may lie between known points. The more general case where the known points of the function are imprecisely located is also dealt with. The use of gradual rules for expressing constraints on the closeness with respect to reference points leads to interpolation graphs that are imprecise but still crisp. We thus propose a refinement of the rule-based representation that enables the handling of fuzzy interpolation graphs.
A revisited approach to linear fuzzy regression using trapezoidal fuzzy intervals
Information Sciences, 2010
ABSTRACT Conventional Fuzzy regression using possibilistic concepts allows the identification of ... more ABSTRACT Conventional Fuzzy regression using possibilistic concepts allows the identification of models from uncertain data sets. However, some limitations still exist. This paper deals with a revisited approach for possibilistic fuzzy regression methods. Indeed, a new modified fuzzy linear model form is introduced where the identified model output can envelop all the observed data and ensure a total inclusion property. Moreover, this model output can have any kind of spread tendency. In this framework, the identification problem is reformulated according to a new criterion that assesses the model fuzziness independently from the collected data distribution. The potential of the proposed method with regard to the conventional approach is illustrated by simulation examples.
IEEE Transactions on Fuzzy Systems, 2007
This paper aims at expressing MIN and MAX operations when triangular fuzzy intervals are taken as... more This paper aims at expressing MIN and MAX operations when triangular fuzzy intervals are taken as inputs, that is when Zadeh's extension principle is considered. First presented approach consists in representing fuzzy intervals by means of their profiles. In this context, a computation algorithm can be easily derived for implementing the MIN and MAX operations. Another methodology based on interval relations is then proposed for determining a general analytical expression of the MIN and MAX operations. The potential use of these expressions in the framework of uncertain aggregation operators is illustrated with the two-additive Choquet integral.
France Chapter Report
IEEE Computational Intelligence Magazine, 2009
Fuzzy Sets and Systems, 2009
Fuzzy Sets and Systems, 2014
We combine the concepts of gradual numbers and Kaucher arithmetic on extended intervals to define... more We combine the concepts of gradual numbers and Kaucher arithmetic on extended intervals to define extended gradual interval (EGI) arithmetic in which subtraction and division operators are the inverse operators of addition and multiplication, respectively. Use of the proposed EGI operators can lead to non-monotonic gradual intervals that are not fuzzy subsets and cannot be represented by fuzzy intervals. In this context and when fuzzy representation results are desired, an approximation strategy is proposed to determine the nearest fuzzy interval of the non-monotonic gradual interval obtained. This approximation is viewed as an interval regression problem according to an optimization procedure. The EGI operators are applied to the common fuzzy weighted average (FWA) leading to a gradual weighted average (GWA).
Integrating expert knowledge into industrial control structures
Computers in Industry, 2003
ABSTRACT This paper is concerned with the improvement of existing industrial control structures b... more ABSTRACT This paper is concerned with the improvement of existing industrial control structures by the integration of human experience and expertise. Through two case studies concerning mechanical and petrochemical industries, it is illustrated that conventional control techniques and knowledge-based strategies can complement each other. The objective is to derive maximum profit from available materials and equipment by combining them efficiently. From a concrete point of view, linguistic fuzzy systems (LFS) are used to achieve a collaboration between numeric and expert processing.Three distinct architectures are proposed to combine conventional regulators and knowledge-based procedures in a unified control structure. All of them are based on a context-oriented decomposition of the control problem under consideration. The choice of a particular architecture is then related to existing industrial installations and is finally dependent on company strategy.
Evaluation des performances de contrôleurs flous à partir d'un benchmark
Within the framework of the CSN Project of the Research Control Group of the C.N.R.S., a collecti... more Within the framework of the CSN Project of the Research Control Group of the C.N.R.S., a collective study was untertaken on the performances of fuzzy controllers based on the benchmark proposed by Masten & Cohen. This paper presents the main results that were obtained by using fuzzy controllers dealing with linguistic rule bases. In particular, results using Mamdani or Dienes operators and reduced rule bases are detailed.
Combinaison de l'interférométrie différentielle et la corrélation d'amplitude SAR pour la mesure de champs de déplacement: Application au séisme du Pakistan (2005)
Method for Predicting a Failure in the Rotation of the Rotor of a Vacuum Pump and Associated Pumping Device
Categorizing classes of signals by means of fuzzy gradual rules
Inverse arithmetic operators for fuzzy intervals
Projet ReVeS: Reconnaissance de Végétaux pour de interfaces Smartphones
L'urbanisation de ces dernieres decennies et l'interet croissant pour les nouvelles techn... more L'urbanisation de ces dernieres decennies et l'interet croissant pour les nouvelles technologies ont conduit l'homme a s'eloigner de la nature et a ne plus connaitre son environnement. Ainsi, par exemple, peu de gens savent reconnaitre les especes d'arbres les plus communes en France. On constate par ailleurs que tout le monde, ou presque, possede desormais Smartphone. Il ne s'agit pas de simples appareils permettant uniquement de telephoner mais de veritables telephones intelligents integrant des fonctionnalites de prise de photos, de videos, de geolocalisation, de connexion a Internet, et autres capteurs etc. L'idee du projet ReVeS est d'utiliser de tels outils pour re-apprendre a l'homme a (re)connaitre les vegetaux qui l'entourent. Plus precisement, il a pour objectif de developper un outil permettant a un utilisateur de Smartphone de reconnaitre, dans un premier temps, les arbres et arbustes a partir de leurs feuilles. Des travaux sont egalement en cours sur les autres plantes a fleurs. Le scenario typique vise par le projet ReVeS est celui d'un promeneur qui se ballade en campagne, ou en montagne, et souhaite obtenir des informations sur une espece de plante a partir d'une (ou plusieurs) photos (ou videos) de ses feuilles (et de ses fleurs). Les verrous scientifiques poses par un tel outil sont nombreux. Ils concernent tout d'abord le traitement d'images ou de videos. En effet, en supposant que l'utilisateur n'a d'autre outil que son Smartphone, cela implique de savoir segmenter des feuilles ou des fleurs sur fonds complexes (naturels), de savoir extraire de maniere automatique les descripteurs de forme, de couleur, de texture pertinents, de savoir eventuellement calculer des statistiques de formes, etc ; tout ceci avec une possibilite d'interaction intuitive avec l'utilisateur que l'on n'a pas lorsque l'on traite des images ou des videos sur un ordinateur. Certains verrous sont egalement d'ordre geographique puisque la possibilite de geolocalisation nous conduit naturellement a exploiter les connaissances phytogeographique, geologiques et la repartition des especes en France. Ensuite, la fusion de toutes ces donnees eventuellement completees par d'autres informations (date, meteo par exemple) constitue un veritable defit. Enfin, l'etude des usages d'un tel dispositif nous semble particulierement interessante. En effet, il pourrait ouvrir la voie a de nouvelles recherches dediees aux espaces naturels. Il pourrait egalement etre utilise dans le cadre de parcs urbains ou etre applique a la vegetation sauvage dans la ville qui devient une question ecologique importante. Ainsi, de multiples questions pourront etre traitees : science citoyenne, conservation de la nature, serious game environnemental, web 2.0, etc.
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Papers by Sylvie Galichet