A fuzzy colour sensor

6 pagesInternational audienceThe aim of this paper is to propose a new method for building a fuzzy partition on multi-dimensional spaces. This method is based on a linear interpolation performed by means of Delaunay's triangulation of the multi-dimensional space. It is applied for creating fuzzy symbolic sensors which use multi-component measurements. Colour sensing is an interesting problem for applying this method. Indeed, humans have good control on this sensing but can not explain it simply. Fuzzy colour sensors can learn human perception of colours whithout explicit knowledge about the perception mechanisms

A dedicated language for distributed intelligence based fuzzy sensors

International audienceThis paper presents a concept of distribution of the computational activity over a networked set of fuzzy sensors. This concept is based on the separation of the concept of intelligence and the computational capability. The PLICAS language specially created to apply this concept and its fuzzy processing capabilities are presented. This concept is applied to the fuzzy description of comfort measurement from temperature and humidity measurements

18th ICPR paper: INDUSTRIAL PERFORMANCE MEASUREMENT: AN APPROACH BASED ON THE AGGREGATION OF UNIPOLAR OR BIPOLAR EXPRESSIONS

International audienceIndustrial performance concerns numerous criteria, often in interaction and of complex nature, not related to one elementary measure. Performance Measurement Systems (PMSs) have been developed to support decision-making for reaching the objectives and launching adequate action plans. PMSs provide thus performance expressions which identify objective satisfaction degrees. Two kinds of performance expressions are useful in industrial problems, according to the scale (unipolar, bipolar) that is used for their definition. Moreover, these expressions generally have to be synthesized for global control purposes, determining an overall performance raises the issue of performance aggregation. To address such an aggregation issue, adequate multi-criteria methods need to be implemented. Most of the approaches proposed in the literature either do not provide explicit mechanisms, or rely on too simple methods. This paper deals with the definition of a performance combination based on mathematical tools, especially the generalized Choquet integral to take into account on the one hand criteria interactions and on the other hand both unipolar and bipolar scales. An application to a PMS for the service rate of a SME producing kitchen elements is used to illustrate the approach

Fuzzy symbolic sensors - From concept to applications

International audienceThis paper deals with sensors which compute and report linguistic assessments of numerical acquired values. Such sensors, called symbolic sensors, are particularly adapted when working with control systems which use artificial intelligence techniques

Fuzzy sensor aggregation: application to comfort measurement

International audienceThis paper focuses on the acquisition of abstract information, i.e. information which are not analytically related to conventional physical quantities as for example the comfort. In these complex cases, we propose to use fuzzy sensors which compute and report linguistic assessment of numerical acquired values. Two methods are proposed to realize the aggregation from basic measurements

Fuzzy sensor for the perception of colour

International audienceThe aim of this paper is to propose a new method for building a fuzzy partition on multi-dimensional spaces. This method is apply for creating fuzzy symbolic sensors which use multi-component measurements. Colour sensing is an interesting perception to apply this method. Indeed, men have good control on this sensing but can not explain it simply. Then, the fuzzy colour sensor can learn human perception of colour and does not need explicit information about colour perception mechanisms

How to handle the Decision-Maker's awareness of industrial context in his objectives declaration?

International audienceThis study investigates some new approaches that concern the handling of human considerations in the decision-aiding field. We particularly look for the industrial context change and the awareness of the Decision-Maker with regards to such a change, in his decisions. Beyond the Routine regular situation, three situations are thus considered, namely the Control, the Emergency Crisis and the Loss of Control. A proposition of definition and use of the Decision-Maker awareness is applied to the case of re-declaring initial objectives. Awareness is defined through three parameters which are the Belief, the Level and the Graduality, which make up to the so-called Awareness Unit Cube. This is assumed to be evolving with regards to the Decision-Maker perception evolution. According to the evolving values of these parameters on the one hand, and to the characterisation of the occurred situation on the other hand, mathematical adjustments of the considered objectives values are proposed. Some illustrations of the proposal are extracted from a case study submitted by a steel manufacturer

Interprétation des images sismiques : Approche par fusion coopérative

L'interprétation des images sismiques dans le cadre de la prospection pétrolière, est une opération complexe qui nécessite de la part des experts, une connaissance importante. Afin de les aider, une méthode semi-automatique basée sur la fusion d'informations est proposée. Elle permet de traiter un nombre important de données sismiques. La théorie des sous-ensembles flous a été retenue pour modéliser les connaissances exprimées de manière symbolique par les interprètes et les coupler avec les valeurs numériques des attributs issus de l'image. L'interface logicielle réalisée dans la cadre de cette étude permet, de plus, une coopérativité entre l'utilisateur et la machine grâce à cet aspect symbolique. Cette méthode permet ainsi de reproduire rapidement des segmentations de régions complexes