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Integrated Data Analysis for nuclear fusion

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8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Fischer, R. Dinklage, A. Max Planck Inst Plasma Phys EURATOM Assoc D-85748 Garching Germany Max Planck Inst Plasma Phys EURATOM Assoc D-17493 Greifswald Germany

ISBN: (纸本)9789812799463

Integrated Data Analysis (IDA) offers a unified way of combining data from different experiments to obtain improved results. IDA meets with typical issues arising in the analysis of data from magnetic confinement fusion experiments. Heterogeneous and complementary experimental data as well as physical prior information are integrated employing Bayesian probability theory. The concept of IDA is compared to the traditional approach for data analysis where sequential analysis and iterative schemes are usually employed. In contrast to classical backward inversion techniques, IDA needs only forward modeling and a thorough error assessment. In practice, the probabilistic description of systematic measurement and model uncertainties are of major importance to resolve data inconsistencies, which is a prerequisite for the integration of different diagnostics results. Complex error propagation is an inherent part of a concise probabilistic one-step analysis.

关键词： Integrated Data Analysis (IDA) magnetic confinement fusion Bayesian probability theory data consistency

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Application of Orthogonal Variant Moments to computer vision

引用

8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Jose, Antonio Martin H. Santos, Matilde Univ Complutense Madrid Fac Informat E-28040 Madrid Spain

ISBN: (纸本)9789812799463

The Orthogonal Variant Moments (OVM) are proposed in this paper as a way characterizing any function or signal in general. Our approach to the theory of visual perception is based on the study of the low level vision system by Orthogonal Variant Moments while most of the works on this field use invariant-moments. An application of this method to computer-vision proves the efficiency of this approach.

关键词： computer-vision signal-processing statistical-moments variant-moments

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Some recent results on Atanassov's intuitionistic fuzzy topological spaces

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8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Lupianez, F. G. Univ Complutense Dept Math E-28040 Madrid Spain

ISBN: (纸本)9789812799463

We show here some of our results on intuitionistic fuzzy topological spaces. In 1983, K.T. Atanassov proposed a generalization of the notion of fuzzy set: the concept of intuitionistic fuzzy set. D. Coker constructed the fundamental theory on intuitionistic fuzzy topological spaces, and D. Coker and other mathematicians studied compactness, connectedness, continuity, separation, convergence and paracompactness in intuitionistic fuzzy topological spaces. Finally, G.-J Wang and Y.Y. He showed that every intuitionistic fuzzy set may be regarded as an L-fuzzy set for some appropriate lattice L. Nevertheless, the results obtained by above authors are not redundant with other for ordinary fuzzy sense. Recently, Smarandache defined and studied neutrosophic sets (NSs) which generalize IFSs. This author defined also the notion of neutrosophic topology. We proved that neutrosophic topology does not generalize the concept of intuitionistic fuzzy topology.

关键词： mathematics topology fuzzy sets Atanassov's intuitionistic fuzzy sets

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A linguistic approach for non-functional constraints in a semantic SOA environment

引用

8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Chatel, Pierre Truck, Isis Malenfant, Jacques Thales Commun France 1-5 Ave Carnot F-91883 Massy France Univ Paris 08 LIASD F-93526 St Denis France Univ Paris 09 CNRS UMR 7606 LIP6 F-75016 Paris France

ISBN: (纸本)9789812799463

This contribution addresses the problem of expressing preferences among nonfunctional properties in a Web Service architecture. In such a context, semantic annotations are needed and added on service declaration and business process in order to select the best available service. These conditional and unconditional preferences are managed using Conditional Preference-Networks (CP-Nets). But in several cases, uncertainty related to the preferences has to be taken into account to achieve a better satisfaction rate. We propose the use of fuzzy linguistic information inside the whole process when it will be necessary.

关键词： preference modelling fuzzy linguistic approach CP-Nets Web service filtering

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New information processing methods for control in magnetically confinement nuclear fusion

引用

8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Murari, A. Vega, J. de Arcas, G. Vagliasindi, G. Consorzio RFX Assoc EURATOM ENEA Fus Corso Stati Uniti 4 Padua Italy Assoc EURATOM CIEMAT Para Fusion Madrid 28040 Spain Univ Politecn Madrid Grp Investigac Instrumentac & Acust Appl Madrid 28031 Spain Univ Catania Dip Ingn Elect Elect & Sist I-95125 Catania Italy

ISBN: (纸本)9789812799463

Thermonuclear plasmas are complex and highly non-linear physical objects and therefore, in the most advanced present day devices for the study of magnetic confinement fusion, thousands of signals have to be acquired for each experiment, in order to progress with the understanding indispensable for the final reactor. On the other hand, the resulting massive databases, more than 40 Tbytes in the case of the JET joint Undertaking, pose significant problems. In this paper, solutions to reduce the shear amount of data by different compression techniques and adaptive sampling frequency architectures are presented. As an example of methods capable of providing significant help in the data analysis and real time control, a Classification and Regression Tree software is applied to the problem of regime identification, to discriminate in an automatic way whether the plasma is in the L or H confinement mode.

关键词： Real time control

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Fuzzy reputation in the art testbed

引用

8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Carbo, J. Molina-Lopez, J. M. Univ Carlos III Madrid Dept Informat Madrid 28911 Spain

ISBN: (纸本)9789812799463

Trust modeling is a challenging issue due to the dynamic nature of distributed systems and the unreliability of self-interested agents. In this context, the Agent Reputation and Trust (ART) Testbed has been used to compare trust models in annual Spanish and International competitions from 2006. In this paper we describe the agent we have presented to those competitions. This agent is an extension of a previously-published trust model AFRAS that used fuzzy sets to represent reputation. In addition this model we propose a cognitive model to implement adaptive behaviors. An implementation of this extension of AFRAS trust model has participated in the (Spanish and International) 2006 ART competitions.

关键词： trust reputation agent fuzzy

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Inferential process by morphogenetic system

引用

8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Resconi, Germano Catholic Univ Brescia Italy

ISBN: (纸本)9789812799463

In the classical logic the inferential process is based on the modus ponens rule for which when the rule that connects the premise with the consequence is true and the premise is true, we know that also the consequence is true. Now in the fuzzy inferential process [1] the premise and the consequence are not logic propositions that assume the logic values true or false but are fuzzy sets that can assume values between zero and one. The classical logic rule is replaced with the fuzzy rules R. When a fuzzy set A (the antecedent) is known, then one needs a way to infer the consequence B from A and R In fuzzy set theory a lot of different methods are given to solve the previous problem. Now in this paper a new conceptual frame denoted Morphogenetic System is used in place of the traditional approach to the inferential process. The main idea in the morphogenetic system is the separation of the fuzzy inferential process into two parts. One is given by the rules that represent the fuzzy system and the other is the environment that represents all the possible premises A. Now given a premise A or a generic fuzzy set, we define the space of the fuzzy objects: in this space we represent the elements of the fuzzy rules. Now we create a special projection operator that projects the premise A into the fuzzy rules to obtain consequence B which is the part of A that is coherent with the fuzzy rules. When the premises are orthogonal to the rules we have not consequence B. The definition of the projection operator and the properties of the projection operator are the aim of this paper.

关键词： Fuzzy rules

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A comparison between Possibility and Probability in multiple criteria decision making

引用

8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Iglesias, A. Del Castillo, M. D. Santos, M. Serrano, J. I. Oliva, J. Inst Automat Ind Grp Bioingn Ctra Campo Real Km 0-200 Madrid 28500 Spain Univ Complutense Madrid Dept Arquitect Computad & Automat Madrid 28080 Spain

ISBN: (纸本)9789812799463

The aim of this paper is to compare two common methods used to solve multiple criteria decision making (MCDM) problems: the general fuzzy method and a method based on influence diagrams. The first method is based on the Possibility Theory while the other one is based on the Probability Theory. The two methods are used to evaluate and choose the best means of transport in order to show advantages and disadvantages. Expert knowledge has been applied in this work to model the preferences and show how the final decision changes according to these weights. This problem has been broadly used in previous literature as a prototype problem to evaluate MCDM methods. Some interesting conclusions regarding this comparison have been drawn.

关键词： Probability

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Influence of the confinement in the Particle Swarm Optimization of combinatorial problems for application to the Nuclear Reactor Fuel Reloading

引用

8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： De Moura Meneses, Anderson Alvarenga Schirru, Roberto Univ Fed Rio de Janeiro Nucl Engn Program COPPE UFRJ BR-21945970 Rio De Janeiro Brazil

ISBN: (纸本)9789812799463

Particle Swarm Optimization (PSO) is a metaheuristic technique based on socials aspects of intelligence. Some PSO models have been developed for combinatorial optimization, although none of them presented satisfactory results to optimize the combinatorial problem of the Nuclear Reactor Reloading Problem (NRRP). In previous research we developed the Particle Swarm Optimization with Random Keys (PSORK) model, to be applied to combinatorial problems such as the NRRP. In this paper, we survey the confinement of particles in the PSORK. A confinement analysis is interesting in continuous functions optimization since it may influence it, resulting in biases, favoring particular regions of the search space, although there are no similar studies for combinatorial optimization. We have submitted PSORK to a confinement analysis when applied to the Traveling Salesman Problem Ryke]48 (ry48p), a benchmark for combinatorial optimization. We also present results for the optimization of Angra I Nuclear Power Plant reload. We have tested non-confined PSORK as well as Standard, Hyperbolic and Random Back confinements.

关键词： Combinatorial optimization

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Computing a T-transitive opening of a proximity

引用

8th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science

作者： Garmendia, L. Salvador, A. Montero, J. Univ Complutense Madrid E-28040 Madrid Spain Tech Univ Madrid Madrid Spain

ISBN: (纸本)9789812799463

A fast method to compute a T-indistinguishability from a reflexive and symmetric fuzzy relation is given for any left-continuous t-norm, taking O(n(3)) time complexity, where n is the number of elements in the universe. It is proved that the computed fuzzy relation is a T-transitive opening when T is the minimum t-norm or a strictly growing t-norm. As far as we know, this is the first known algorithm that computes T-transitive openings preserving the reflexive and symmetric properties.

关键词： Fuzzy logic

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