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Fuzzy patterns in multi-level of satisfaction for MCDM model using modified smooth S-curve MF

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Vasant, Pandian Bhattacharya, A. Barsoum, N.N. EEE Program Research Lecturer Universiti Teknologi Petronas BSI 31750 Tronoh Malaysia Examiner of Patents and Designs Patent Office M.S.O. Building Kolkata Nizam Palace 2nd Kolkata - 700 020 West Bengal India School of Electrical and Electronic Engineering Curtin University of Technology Sarawak Australia

ISBN: (纸本)9783540283317

Present research work relates to a methodology using modified smooth logistic membership function (MF) in finding out fuzzy patterns in multi-level of satisfaction (LOS) for Multiple Criteria Decision-Making (MCDM) problem. Flexibility of this MF in applying to real world problem has been validated through a detailed analysis. An example elucidating an MCDM model applied in an industrial engineering problem is considered to demonstrate the veracity of the proposed methodology. The key objective of this paper is to guide decision makers (DM) in finding out the best candidate-alternative with higher degree of satisfaction with lesser degree of vagueness under tripartite fuzzy environment. The approach presented here provides feedback to the decision maker, implementer and analyst. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Fuzzy sets

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An integrated navigation system of NGIMU/ GPS using a fuzzy logic adaptive Kalman filter

An integrated navigation system of NGIMU/ GPS using a fuzzy ...

引用

2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Ding, Mingli Wang, Qi Dept. of Automatic Test and Control Harbin Institute of Technology 150001 Harbin China

ISBN: (纸本)9783540283126

The Non-gyro inertial measurement unit (NGIMU) uses only accelerometers replacing gyroscopes to compute the motion of a moving body. In a NGIMU system, an inevitable accumulation error of navigation parameters is produced due to the existence of the dynamic noise of the accelerometer output. When designing an integrated navigation system, which is based on a proposed nine-configuration NGIMU and a single antenna Global Positioning System (GPS) by using the conventional Kalman filter (CKF), the filtering results are divergent because of the complicity of the system measurement noise. So a fuzzy logic adaptive Kalman filter (FLAKF) is applied in the design of NGIMU/GPS. The FLAKF optimizes the CKF by detecting the bias in the measurement and prevents the divergence of the CKF. A simulation case for estimating the position and the velocity is investigated by this approach. Results verify the feasibility of the FLAKF. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Navigation systems

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e-Science 2006 - Second ieee international conference on e-Science and Grid Computing

e-Science 2006 - Second IEEE International Conference on e-S...

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e-Science 2006 - 2nd ieee international conference on e-Science and Grid Computing

ISBN: (纸本)0769527345

The proceedings contain 152 papers. The topics discussed include: benefits of e-science for the physiome project;grid enabling data de-duplication;emerging technologies and applications for e-science;grid based flood prediction virtual organization;complex dynamics in the plankton: computational science applied to the world's oceans;national grid initiatives: lessons learned and recommendations;dynamic infrastructure for systems level science;from bioinformatics towards e-bioscience;grid organizational memory: a versatile solution for ontology management in the grid;interactive workflows in a virtual laboratory for e-bioscience: the SigWin-Detector Tool for gene expression analysis;adapting and evaluating commercial workflow engines for e-science;communication over a secured heterogeneous grid with the GriddLeS runtime environment;and domain based access control model for distributed collaborative applications.

关键词： Grid computing

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Geometrical probability covering algorithm

Geometrical probability covering algorithm

引用

2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Zhang, Junping Li, Stan Z. Wang, Jue Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9783540283126

In this paper, we propose a novel classification algorithm, called geometrical probability covering (GPC) algorithm, to improve classification ability. On the basis of geometrical properties of data, the proposed algorithm first forms extended prototypes through computing means of any two prototypes in the same class. Then Gaussian kernel is employed for covering the geometrical structure of data and used as a local probability measurement. By computing the sum of the probabilities that a new sample to be classified to the set of prototypes and extended prototypes, the classified criterion based on the global probability measurement is achieved. The proposed GPC algorithm is simple but powerful, especially, when training samples are sparse and small size. Experiments on several databases show that the proposed algorithm is promising. Also, we explore other potential applications such as outlier removal with the proposed GPC algorithm. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Algorithms

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Feature recognition technique from 2D ship drawings using fuzzy inference system

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Kim, Deok-Eun Shin, Sung-Chul Kim, Soo-Young Pusan National University Jangjeon-Dong Geumjeong-Gu Busan Korea Republic of Mokpo National Maritime University Jukkyo-Dong Mokpo Korea Republic of

ISBN: (纸本)9783540283317

This paper presents the feature recognition technique that recognizes the features from 2D ship drawings using the fuzzy inference system. Generally, ship drawings include a lot of symbols and texts. They were complicatedly combined each other. So, it is very difficult to recognize the feature from 2D ship model. The fuzzy inference system is suitable to solve these problems. Input information for fuzzy inference is connection type of drawing elements and properties of element. Output value is the correspondence between target feature and candidate feature. The recognition rule is the fuzzy rule that has been predefined by designer. In this study, the midship section drawing of general cargo ship was used to verifying suggested methodology. Experimental results showed that this approach is more efficient than existing methods and reflects the human knowledge for recognition of the feature. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Feature extraction

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Fuzzy-C-Mean determines the principle component pairs to estimate the degree of emotion from facial expressions

Fuzzy-C-Mean determines the principle component pairs to est...

引用

2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Amin, M. Ashraful Afzulpurkar, Nitin V. Dailey, Matthew N. Esichaikul, Vatcharaporn Batanov, Dentcho N. Department of CS and IM Asiao-Institute of Technology Thailand Department of MT and ME Asiao-Institute of Technology Thailand Sirindhom International Institute of Technology Thammasat University Thailand

ISBN: (纸本)9783540283126

Although many systems exist for automatic classification of faces according to their emotional expression, these systems do not explicitly estimate the strength of given expressions. This paper describes and empirically evaluates an algorithm capable of estimating the degree to which a face expresses a given emotion. The system first aligns and normalizes an input face image, then applies a filter bank of Gabor wavelets and reduces the data's dimensionality via principal components analysis. Finally, an unsupervised Fuzzy-C-Mean clustering algorithm is employed recursively on the same set of data to find the best pair of principle components from the amount of alignment of the cluster centers on a straight line. The cluster memberships are then mapped to degrees of a facial expression (i.e. less Happy, moderately happy, and very happy). In a test on 54 previously unseen happy faces., we find an orderly mapping of faces to clusters as the subject's face moves from a neutral to very happy emotional display. Similar results are observed on 78 previously unseen surprised faces. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Fuzzy sets

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Apply fuzzy-logic-based functional-center hierarchies as inference engines for self-learning manufacture process diagnoses

引用

2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Hu, Yu-Shu Modarres, Mohammad The Center for Risk and Reliability University of Maryland College Park MD 20742 United States Digital Content School Beijing Technology and Business University 33 Fucheng Road Beijing 100037 China

ISBN: (纸本)9783540283317

In a production process, there are numerous systems that provide information/reports for various purposes. However, most of the knowledge for decision-making is kept in minds of experienced employees rather than exists in IT systems that can be managed systematically. Even experienced managers may make flaw/improper decisions due to the lack of must-known information, not to mention what those who are less experienced or have been urged by the pressure of time will probably do. In this paper, a fuzzy-logic-based functional center hierarchical model named Dynamic Master Logic (DML) is designed as an interview interface for representing engineers' tacit knowledge and a self-learning model for tuning the knowledge base from historical cases. The DML representation itself can also be the inference engine in a manufacture process diagnoses expert system. A semiconductor Wafer Acceptance Test (WAT) root cause diagnostics which usually involves more than 40,000 parameters in a 500-step production process is selected to examine the DML model. In this research, it has been proven to shorten the WAT diagnostics time from 72 hours to 15 minutes with 98.5% accuracy and to save the human resource form 2 senior engineers to one junior engineer. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Hierarchical systems

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2nd international Workshop on Grid and Cooperative Computing, GCC 2003

2nd International Workshop on Grid and Cooperative Computing...

引用

2nd international Workshop on Grid and Cooperative Computing, GCC 2003

ISBN: (纸本)3540219935

The proceedings contain 169 papers. The special focus in this conference is on Advanced Resource Management, Scheduling, and Monitoring. The topics include: Synthetic implementations of performance data collection in massively parallel systems;a GMA-based monitoring and management infrastructure for grid;a parallel branch-and-bound algorithm for computing optimal task graph schedules;selection and advanced reservation of backup resources for high availability service in computational grid;an online scheduling algorithm for grid computing systems;a dynamic job scheduling algorithm for computational grid;an integrated management and scheduling scheme for computational grid;multisite task scheduling on distributed computing grid;adaptive job scheduling for a service grid using a genetic algorithm;resource scheduling algorithms for grid computing and its modeling and analysis using petri net;architecture of grid resource allocation management based on QoS;an improved ganglia-like clusters monitoring system;effective openMP extensions for irregular applications on cluster environments;a scheduling approach with respect to overlap of computing and data transferring in grid computing;a deadline and budget constrained cost-time optimization algorithm for scheduling dependent tasks in grid computing;a load balancing algorithm for web based server grids;flexible intermediate library for MPI-2 support on an score cluster system;resource management and scheduling in manufacturing grid;a new task scheduling algorithm in distributed computing environments;grid monitoring system based on mobile agent;grid-based resource management of naval weapon systems and a static task scheduling algorithm in grid computing.

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Pathway bioinformatics 2

Pathway bioinformatics

引用

2nd international computational systems bioinformatics conference

作者： Karp, P SRI Int Bioinformat Res Grp Menlo Pk CA 94025 USA

ISBN: (纸本)0769520006

Pathway bioinformatics is a subfield of bioinformatics that is concerned with pathway algorithms, ontologies, visualizations, and databases [4]. This talk will provide an overview of the pathway databases and software under development in the bioinformatics research group at SRI international, and will then discuss three pathway algorithms in detail. © 2003 ieee.

关键词： bioinformatics

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Efficient constrained multiple sequence alignment with performance guarantee 2

Efficient constrained multiple sequence alignment with perfo...

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2nd international ieee computer society computational systems bioinformatics conference, csb 2003

作者： Chin, Francis Y.L. Ho, N.L. Lam, T.W. Wong, Prudence W.H. Chan, M.Y. Department of Computer Science and Information Systems University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)0769520006

The constrained multiple sequence alignment problem is to align a set of sequences subject to a given constrained sequence, which arises from some knowledge of the structure of the sequences. This paper presents new algorithms for this problem, which are more efficient in terms of time and space (memory) than the previous algorithms and with a worst-case guarantee on the quality of the alignment. Saving the space requirement by a quadratic factor is particularly significant as the previous O(n4)-space algorithm has limited application due to its huge memory requirement. Experiments on real data sets confirm that our new algorithms show improvements in both alignment quality and resource requirements. © 2003 ieee.

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