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检索条件"丛书名=World Scientific Proceedings Series On Computer Engineering And Information Science"

共 774 条记录，以下是61-70 订阅

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A NOVEL APPROACH TO RANKING FUZZY NUMBERS BASED ON FUZZY ACCEPTABILITY ANALYSIS 12

A NOVEL APPROACH TO RANKING FUZZY NUMBERS BASED ON FUZZY ACC...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Yatsalo, Boris Martinez, Luis Natl Res Nucl Univ MEPHI IATE NRNU MEPHI Dept Informat Syst Obninsk Russia Univ Jaen Dept Comp Sci Jaen 23071 Spain

ISBN: (纸本)9789813146969

A novel approach to ranking fuzzy numbers based on Fuzzy Acceptability Analysis (FAA) is considered. The use of FAA represents a consistent approach to fuzzy decision analysis in accordance with the concept that "decision taken in a fuzzy environment should be inherently fuzzy". The two preference relations for ranking fuzzy numbers with the use of FAA are presented. Implementation of FAA within fuzzy Multicriteria Decision Analysis is considered based on ranking fuzzy numbers/alternatives with indicating a fuzzy measure (degree of confidence) for each rank.

关键词： Ranking Fuzzy Numbers Fuzzy Preference Relation Fuzzy Acceptability Analysis Fuzzy MCDA

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A SEMI-SUPERVISED LEARNING ALGORITHM BASED ON SVM FOR IMBALANCED DATA 12

A SEMI-SUPERVISED LEARNING ALGORITHM BASED ON SVM FOR IMBALA...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Du, Limin Xu, Yang He, Xingxing Southwest Jiaotong Univ Intelligent Control Dev Ctr Chengdu 610031 Sichuan Peoples R China Henan Univ Pharm Coll Kaifeng 475004 Henan Peoples R China

ISBN: (纸本)9789813146969

In view of the semi-supervised classification problem for imbalanced data, a new semi-supervised learning algorithm based on SVM is proposed. In this method, the classification method based on SVM for unbalanced data is used to tag unlabeled documents in order to deal with the imbalance of data. The experimental results on several benchmark data sets show the validity of this method.

关键词： Learning algorithms

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MEASURING DRIVER'S RELATIVE PERFORMANCE OVER TIME USING DEA AND WINDOW ANALYSIS 12

MEASURING DRIVER'S RELATIVE PERFORMANCE OVER TIME USING DEA ...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Babaee, Seddigheh Shen, Yongjun Hermans, Elke Brijs, Tom Wets, Geert Hasselt Univ Transportat Res Inst IMOB Wetenschapspk 5Bus 6 B-3590 Diepenbeek Belgium

ISBN: (纸本)9789813146969

Among different road user types, drivers represent the largest share of road fatalities. As a result, more attention should be paid to the behavior of drivers, especially their behavior over time. By using driving simulator data, this study aims to investigate the relative performance of individual drivers over time. To this end, 20 participants (14 in the end) completed a particular simulator scenario over five days, and their driving performance at various points along the driving scenario was recorded. By taking all this information into account, the technique of data envelopment analysis was applied to assess the relative performance of each driver, and the window analysis was used to measure the variations in performance over time.

关键词： Decision making

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MULTIALIGN - ALIGNING DATA RECORDS USING MULTILINGUAL WORDNET 12

MULTIALIGN - ALIGNING DATA RECORDS USING MULTILINGUAL WORDNE...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Hong, Jer Lang Chan, Chee Sheen Wong, Lai Wan Sankar, S. Perumal Taylors Univ Sch Comp & IT Subang Jaya Selangor Malaysia UCSI Univ Sch IT Cheras Wilayah Persekutu Malaysia Toc H Inst Technol ECE Dept Ernakulam India

ISBN: (纸本)9789813146969

Most of the web content today is generated on the fly using dynamic server side scripts. This web is known as hidden web or deep web. Extracting data from deep web is a non-trivial task as the layout and structure of deep web is highly irregular. Deep web data extraction is important as it is useful for meta-search engine applications and comparative shopping lists. Before such data can be used for further processing, it must first be aligned so that the processing task could be made easier. This process is called data alignment. In the early days, data are aligned based on the conventional DOM Tree structure, and its underlying visual cue and more recently, ontologies have been used to align deep web data. However, this approach makes little use of the full semantics provided by WordNet libraries. In this paper, we propose a full-fledged multilingual WordNet to align data records. Unlike existing approaches, we make full use of the semantic properties provided by WordNet libraries, with multi-language support. Experimental results show that our approach is highly efficient in data alignment.

关键词： Data Extraction Ontology WordNet

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A NEW FAST MODEL OF A FUZZY ASSOCIATIVE MEMORY 12

A NEW FAST MODEL OF A FUZZY ASSOCIATIVE MEMORY

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Perfilieva, Irina Vajgl, Marek Univ Ostrava Inst Res & Applicat Fuzzy Modeling Ctr Excellence IT4Innovat 30 Dubna 22 CZ-70103 Ostrava 1 Czech Republic

ISBN: (纸本)9789813146969

We propose a new theoretical background of autoregressive fuzzy associative memories (AFAM). It stems from the theory of fuzzy relation equations and eigen sets of their solutions. We introduce a couple of related AFAM models that share the same fuzzy relation. For one particular couple, we propose a fast algorithm of data retrieval. We characterize the types of noise that can be removed/reduced by the related models of a couple.

关键词： Associative memory fast model computational speed fuzzy relations

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THE INTUITIVE CARTOGRAPHIC REPRESENTATION IN DECISION-MAKING 12

THE INTUITIVE CARTOGRAPHIC REPRESENTATION IN DECISION-MAKING

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Belyakov, Stanislav Bozhenyuk, Alexander Rozenberg, Igor Southern Fed Univ Dept Informat Secur Syst Nekrasovsky 44 Taganrog 347928 Russia Publ Corp Res & Dev Inst Railway Engineers 27-1 Nizhegorodskaya Moscow 109029 Russia

ISBN: (纸本)9789813146969

The problem of the accumulation of experience and the use of decision-making in the previously observed situations is researched. The main objective of the research is development of the data model that provides the upgrade of reliability of decision-making on the basis of experience. The concept of the image of the situation, which has not clearly defined center and a neighborhood, is introduced. The main thing is not trajectories in feature space but the admissible transformations of situations and solutions.

关键词： Geographic information systems case analysis figurative representation of experience decision-making

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USING ARTIFICIAL INTELLIGENCE TO PREDICT HUMAN BODY DIMENSIONS FOR PATTERN MAKING 12

USING ARTIFICIAL INTELLIGENCE TO PREDICT HUMAN BODY DIMENSIO...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Liu, Kaixuan Wang, Jianping Zeng, Xianyi Tao, Xuyuan Bruniaux, Pascal Donghua Univ Fash & Art Design Inst 1882 West Yanan Rd Shanghai 200051 Peoples R China Univ Lille 1 Sci & Technol F-59655 Lille France ENSAIT GEMTEX 2 Allee Louise & Victor Champier F-59056 Roubaix France

ISBN: (纸本)9789813146969

Traditional pattern making models are mainly linear models. This kind of model has many shortcomings. As Back Propagation (BP) neural network using simple nonlinear transfer functions can approximate any nonlinear functions with any precision, we proposed a BP neural network model to predict all pattern making- related body dimensions by inputting few key human body dimensions. Sixty students in the northeast of China were measured for collecting a learning data to train the proposed model, and eleven of the sixty subjects' body dimensions data were applied to test the accuracy of the model. The results show that the prediction accuracies of linear regression model and BP neural network model have little difference. As the traditional linear model can be well applied in pattern making, the BP neural network model also can be well used for pattern making. Moreover, if increasing the number of learning samples, the precision of the proposed model is further improved.

关键词： Neural network models

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PREDICTION OF CYCLIC COMPONENTS OF A TIME series USING FUZZY TRANSFORM 12

PREDICTION OF CYCLIC COMPONENTS OF A TIME SERIES USING FUZZY...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Nguyen, Linh Novak, Vilem Holcapek, Michal Univ Ostrava Inst Res & Applicat Fuzzy Modeling CE IT2Innovat 30 Dubna 22 CZ-70103 Ostrava Czech Republic

In this article, we propose a new method for prediction of cyclic components of a time series using fuzzy transform (F-transform) of higher degree.

ISBN: (纸本)9789813146969

In this article, we propose a new method for prediction of cyclic components of a time series using fuzzy transform (F-transform) of higher degree.

关键词： Time series Prediction Fuzzy transform Pattern model

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A NOVEL INTERVAL CERTITUDE RULE BASE INFERENCE METHOD WITH EVIDENTIAL REASONING 12

A NOVEL INTERVAL CERTITUDE RULE BASE INFERENCE METHOD WITH E...

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Jin, Liuqian Xu, Yang Fang, Xin Southwest Jiaotong Univ Intelligent Control Dev Ctr 111 North Second Ring Rd Chengdu 610031 Sichuan Peoples R China Chongqing Technol & Business Univ Sch Business Planning 18 Univ Ave Chongqing 400067 Peoples R China

ISBN: (纸本)9789813146969

In this paper, a rule based representation with interval certitude structure is presented as well as its inference method based on evidential reasoning, operational research and fuzzy set theory. A rule base is designed with interval certitude degrees embedded in the antecedent terms and consequent terms, which is shown to be capable of capturing uncertainties of human knowledge and human judgment. And the evidential reasoning approach is applied to the rule combination.

关键词： Rule based system Interval certitude factor Uncertainty Inference method Evidential reasoning

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RESIDUATED F-TRANSFORMS EXTENSIONS FOR DATA ANALYSIS 12

RESIDUATED <i>F</i>-TRANSFORMS EXTENSIONS FOR DATA ANALYSIS

引用

12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)

作者： Madrid, N. Hodakova, P. Rusnok, P. Univ Malaga Dept Appl Math Doctor Pedro Ortiz Ramos S-N E-29071 Malaga Spain Univ Ostrava Ctr Excellence IT4Innovat Inst Res & Applicat Fuzzy Modeling 30 Dubna 22 Ostrava 70103 Czech Republic

In general, the F-transform is a powerful technique to approximate functions or compress data. In this article we explore the residuated versions of F-transform and extend their results for data that can not be repres... 详细信息

ISBN: (纸本)9789813146969

关键词： F-transform Data Analysis Residuated lattice Approximation

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没有更多数据了...

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