Intelligent techniques and soft computing in nuclear science and engineering : proceedings of the 4th International FLINS Conference, Bruges, Belgium, August 28-30, 2000 / edited by Da Ruan ... [et al.].

Format:

Book

Conference/Event

Contributor:

Ruan, Da.

Conference Name:

International FLINS Conference (4th : 2000 : Bruges, Belgium)

Language:

English

Subjects (All):

Nuclear physics--Mathematics--Congresses.

Nuclear physics.

Nuclear engineering--Mathematics--Congresses.

Nuclear engineering.

Fuzzy logic--Congresses.

Fuzzy logic.

Artificial intelligence--Congresses.

Artificial intelligence.

Physical Description:

1 online resource (558 p.)

Place of Publication:

Singapore ; River Edge, NJ : World Scientific, c2000.

Language Note:

English

Summary:

This book is divided into three parts. The first part, “Mathematical Tools and New Developments”, provides basic tools to treat fuzzy set theory, rough set theory, fuzzy control, fuzzy modelling, decision support systems, and related applications. The second part, “Intelligent Engineering Applications”, reports on engineering problems such as man-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, “Nuclear Engineering Applications”, concentrates on nuclear applications and covers several topics such as nuclear energy, nuclear safety assessment, radioactive waste management, nuclear measurements, nuclear safeguards, nuclear reactor operation, reactor controller design, fuel reload pattern design, signal validation, nuclear power plants, and optimizations in nuclear applications.

Contents:

CONTENTS; PREFACE; INVITED LECTURES; DYNAMIC FUZZY DATA ANALYSIS AND UNCERTAINTY MODELING IN ENGINEERING; 1 Introduction; 2 Dynamic Fuzzy Data Analysis ; 3 Modeling Uncertainty in Real Applications; Causes of uncertainty; Type of available information; Type of information required by the observer; 4 Engineering Applications of Fuzzy Dynamic Data Analysis; References; COMPUTING WITH WORDS - MADE EASY ; 1 The Study of Language in General; 2 Definition of CWW; 3 Mathematical Modeling of Natural Language Using Fuzzy Mathematics; 4 The Relationship between CWW and Cognitive Science

5 The Relationship between CWW and Artificial Intelligence6 Natural Language Processing; 7 The Idea of Automatic Speech Recognition and Understanding Its Difficulties; 8 Pragmatics; 8.1 Language as Action; 8.2 Handling Pronouns; 8.3 Handling Adjectives and Adverbs; 8.4 Handling Verb and the Implications; 9 Evolution of Computing with Words; 10 Granularity, CWW, and Multiple-Resolution Dynamic Systems; 11 CWW and Fuzzy Expert Systems; 12 CWW, Language, and Intelligence; 13 Acknowledgements; References; FUZZY-NEURAL SYSTEMS: A BASIS FOR SOFT-COMPUTING; 1 Introduction

2 The Neuron: Synaptic and Somatic Neural Operations3 Conclusions; References; BLEND OF SOFT COMPUTING TECHNIQUES FOR EFFECTIVE HUMAN-MACHINE INTERACTION/INTERFACE IN SERVICE ROBOTIC SYSTEMS; 1 Introduction; 2 Wheelchair-based Robotic System and its Human-Robot Interaction; 3 Soft Computing Techniques Applied for Human-Machine Interaction/Interface; 3.1 Facial Expression Recognition; 3.2 EMG Pattern Recognition; 3.3 Other Potential Use of Soft Computing Techniques; 4 Concluding Remarks; 5 Acknowledgement; References; PART 1 MATHEMATICAL TOOLS AND NEW DEVELOPMENTS

IMAGES UNDER FUZZY RELATIONS: A MASTER-KEY TO FUZZY APPLICATIONS 1 Introduction; 2 Preliminaries; 3 Images of Fuzzy Sets under Fuzzy Relations; 4 General Properties; 4.1 Connections between the Images; 4.2 Monotonicity; 4.3 Interaction with Union; 4.4 Interaction with Intersection; 4.5 Expansiveness and Restrictiveness; 5 Applications; 5.1 Fuzzy Morphology; 5.2 Fuzzy Rough Sets; 5.3 Linguistic Modifiers; 5.4 Approximate Reasoning; 6 Final Thought and Conclusion; Acknowledgments; References; FUZZY STOPPING OF A SYSTEM WITH RANDOMNESS AND FUZZINESS; 1 Introduction; 2 Fuzzy Random Variables

3 Sequences of Fuzzy Random Variables4 Fuzzy Stopping Times; 5 Optimal Fuzzy Stopping Times; 6 Concluding Remarks; References; INTERACTIVE FUZZY-PROJECT PLANNING WITH FLEXIBLE EXTENDED ADDITION; 1 Introduction; 2. Modeling Vague Data by Fuzzy Sets; 3. Calculation of Earliest and Latest Starting Dates of Events in Fuzzy CPM-Project Planning ; 4. Flexible Extended Addition; 5. Concluding Remarks; References; CONDITIONAL PREVISIONS IN IMPRECISE RELIABILITY; 1 Introduction; 2 Methods to Compute Conditional Previsions; 3 Conditional Previsions in Reliability; 3.1 Residual Reliability Measures

3.2 Failure Rate

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9789812792631

9812792635

OCLC:

824362750