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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471-480 订阅

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TRUSTED INTERACTION WITH MULTI-CRITERIA DECISION SUPPORT IN DYNAMIC ENVIRONMENT 9

TRUSTED INTERACTION WITH MULTI-CRITERIA DECISION SUPPORT IN ...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Tao, Will Lu, Jie Yang, Jianbo Univ Technol Sydney Fac Engn & Informat Technol POB 123 Sydney NSW 2007 Australia Univ Manchester Manchester Business Sch East Manchester M15 6PB Lancs England

ISBN: (纸本)9789814324694

Recent developments information technology shifts the computing paradigm towards more dynamic, which also raises some new challenges. Based on our previous research work MobiPass, this paper proposes a technique which can help transacting entities select the most suitable transacting entities by establishing trusted interaction in dynamic environments in a real time manner by using Multi Criteria Decision Support System(MCDSS) as well as MobiPass framework,

关键词： Trusted Interaction Dynamic Environment Real Time Decision Support System Business Intelligence

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FUZZY GAUSSIAN NAIVE BAYES APPLIED TO ONLINE ASSESSMENT IN VIRTUAL REALITY SIMULATORS 9

FUZZY GAUSSIAN NAIVE BAYES APPLIED TO ONLINE ASSESSMENT IN V...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： De Moraes, Ronei Marcos Machado, Liliane Dos Santos Univ Fed Paraiba BR-58059900 Joao Pessoa PB Brazil

ISBN: (纸本)9789814324694

Several approaches have been proposed to perform online or offline evaluation in training simulators based on virtual reality. The goal is to collect interaction data during a realistic simulation of procedures in order to provide to users feedback about their skills. In this paper, we present a new approach to online training assessment based on Fuzzy Gaussian Naive Bayes (FGNB) for modeling and classification of simulation in M pre-defined classes, which is a generalization of Gaussian Bayes Networks. The results obtained showed that FGNB presents significant better assessment when compared to other two methods.

关键词： Virtual reality

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A FUZZY MULTI-CRITERIA DECISION ANALYSIS OF LOCATION FACTORS FOR INTERNATIONAL INVESTMENTS 9

A FUZZY MULTI-CRITERIA DECISION ANALYSIS OF LOCATION FACTORS...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Asan, Umut Soyer, Ayberk Istanbul Tech Univ Dept Ind Engn TR-34357 Istanbul Turkey

ISBN: (纸本)9789814324694

This study suggests a fuzzy analytic network process approach for prioritizing location factors a company should consider in their decisions on international investments. The proposed approach effectively deals with the subjective nature of human judgments and uncertainty inherent in the decision making process, and derive meaningful priorities from the complex decision structure in the evaluation of location factors.

关键词： Fuzzy logic

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APPLICATION OF RESCALED RANGE (R/S) ANALYSIS IN PREDICTIONS FOR FUTURE TREND OF WATER RESOURCES 9

APPLICATION OF RESCALED RANGE (R/S) ANALYSIS IN PREDICTIONS ...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Feng, Lihua Zheng, Juhua Zhejiang Normal Univ Dept Geog Jinhua 321004 Peoples R China

ISBN: (纸本)9789814324694

Rescaled Range (R/S) analysis principle and method were used to calculate the H index and establish the relation formula of R(i)/S(i) and i. A new time serial calculation method was proposed, which endows the Brownian Motion Equation with forecast ability. This is a new attempt to forecast trend changes of water resources. Utilizing the time serial data of water resources in Jinhua City, China, and the Brownian Motion Equation, a forecast and analysis of future trends in wet-and-low water changes are made.

关键词： Water resources

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A TOPOLOGICAL METHOD TO SIMPLIFY THE REDUCTION WITH COVERING ROUGH SETS 9

A TOPOLOGICAL METHOD TO SIMPLIFY THE REDUCTION WITH COVERING...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Yang, Tian Li, Qingguo Zhou, Bilei Hunan Univ Coll Math & Econometr Changsha 410082 Hunan Peoples R China Cent South Univ Technol Sch Business Changsha 410083 Peoples R China

ISBN: (纸本)9789814324694

The reduction theory is the most significant component of rough set theory. This paper for the first time employs the topological separability to analyze the reductions of covering rough sets. First;a definition is given to the covering separability to describe the classification ability of knowledge bases. Second, a connection is built between the separability and discernibility matrix. The knowledge bases which do not satisfy the separability are transformed to ones with separability via the application of the topological method, and then discernibility matrices with lower orders are reached. As a significant advantage, the method simplifies discernibility matrices to lower order, and in turn improves all reduction algorithm based on discernibility matrix.

关键词： Rough set Topology Covering Separability Attribute reducts Discernibility Matrix

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A PARAMETER REDUCTION APPROACH OF SOFT SETS BASED ON information ENTROPY 9

A PARAMETER REDUCTION APPROACH OF SOFT SETS BASED ON INFORMA...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Qin, Keyun Hong, Zhiyong Pan, Xiaodong SW Jiaotong Univ Dept Math Chengdu 610031 Sichuan Peoples R China

ISBN: (纸本)9789814324694

Molodtsov introduced the concept of soft sets, which can be seen as a new mathematical tool for dealing with uncertainty. This paper is concerned with the parameter reduction of soft sets. Firstly, the characteristics of existing reduction approaches are analyzed. Then, the notion of importance degree of parameters is introduced using information entropy and several related properties are investigated. Furthermore, a parameter reduction approach of soft set is presented.

关键词： Soft sets Parameter reduction information entropy Importance degree

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FROM BODY MEASUREMENTS TO HUMAN PERCEPTION OF BODY SHAPES: MODELING USING INTELLIGENT TECHNIQUES 9

FROM BODY MEASUREMENTS TO HUMAN PERCEPTION OF BODY SHAPES: M...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Wang, Lichuan Zeng, Xianyi Koehl, Ludovic Chen, Yan Univ Lille F-59000 Lille France ENSAIT GEMTEX Lab F-59100 Roubaix France Soochow Univ Coll Text & Clothing Engn Suzhou 215006 Peoples R China

ISBN: (纸本)9789814324694

This paper presents a method for modeling the relationship between abstract human perception describing body shapes and concrete body measurements. Two modeling procedures are proposed. In the first procedure, the experts generate a list of sensory descriptors describing human body shapes and then evaluate the virtual human bodies using these descriptors. For each evaluator, a decision tree is then created to model the relationship between each sensory descriptor and the body measurements. In the second procedure, the experts evaluate the relationship between these sensory descriptors and a number of abstract fashion themes such as "sporty" and "attractive" without taking into account specific human bodies. This conceptual relationship given by different experts is modeled using a fuzzy cognitive map. Finally, the relationship between the abstract fashion themes and the body measurements for all the evaluators is obtained using the composition operation of fuzzy relations. Using the proposed method, we can effectively estimate the human perception of body shapes, expressed by a set of keywords, using the corresponding body measurements. These keywords can be further integrated into a knowledge base of garment design for developing personalized new garment products.

关键词： Decision trees

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CONSENSUS MEASURES FOR SYMBOLIC DATA 9

CONSENSUS MEASURES FOR SYMBOLIC DATA

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Garcia-Santesmases, Jose M. Franco, Camilo Montero, Javier Univ Complutense Fac Math E-28040 Madrid Spain

ISBN: (纸本)9789814324694

In this paper we consider consensus measures for a group of individuals that answer a single question on an ordinal Likert-type scale that represents the ratings or rankings of each individual preference. The measure we propose satisfies the rules given by Tastle (2005) and allows several extensions. In particular, once the concept of consensus matrix for a partition on a group of individuals is introduced, we lead to the concept of consensus measure of a partition, which is translated into the framework of symbolic objects.

关键词： Preference Aggregation Consensus Measures Symbolic Data Analysis

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AN INCREMENTAL APPROACH FOR UPDATING APPROXIMATIONS IN DOMINANCE-BASED ROUGH SETS 9

AN INCREMENTAL APPROACH FOR UPDATING APPROXIMATIONS IN DOMIN...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Li, Shaoyong Li, Tianrui Chen, Hongmei Ji, Xiaolan SW Jiaotong Univ Sch Informat Sci & Technol Chengdu 610031 Peoples R China

ISBN: (纸本)9789814324694

Dominance-based rough set approach is dedicated to analysis of data with ordinal properties by the dominance relation. Approaches for incrementally updating knowledge is a hot topic in granular computing. This paper proposes an approach for dynamically updating approximations in dominance-based rough sets when adding or deleting objects in the universe. An example is employed to validate the proposed method.

关键词： Rough set theory

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DUAL FUZZY NEURAL NETWORK ADAPTIVE CONTROL ON LEARNING AS AUTOMATION OF KNOWLEDGE ACQUISITION 9

DUAL FUZZY NEURAL NETWORK ADAPTIVE CONTROL ON LEARNING AS AU...

引用

9th International FLINS Conference on Computational Intelligence: Foundations and Applications

作者： Xu, Kaijun Wei, Menghan Pan, Xiaodong Qin, Keyun Southwestern Jiaotong Univ Intelligent Control & Dev Ctr Chengdu 610031 Sichuan Peoples R China Sichuan Normal Univ Sch Phys & Elect Engn Chengdu 610068 Sichuan Peoples R China

ISBN: (纸本)9789814324694

The dual fuzzy neural network presented in this paper is capable of implementing fuzzy inference in general and neural network mechanism in particular. A systematic method for mapping an existing rule base into a set of dual fuzzy neural network weights has also been presented. However, in order to utilize this method to initialize the dual fuzzy neural network weights, such a rule base obtained from domain experts or from experimental data through systematic, knowledge acquisition methods has been proposed. In this paper, a new learning algorithm for the dual fuzzy neural network is developed. The characteristics of this learning algorithm include learning new rules, fine-tuning initial rules and eliminating erroneous rules from the rule base. At last, the examples are intended to illustrate how the dual fuzzy neural network can be used for the implementation of the knowledge acquisition.

关键词： Knowledge acquisition

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