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    Online Resource
    Online Resource
    Amsterdam, Netherlands :Elsevier Science Publishers B.V., | New York, New York :Elsevier Science Publishing Company Inc.,
    UID:
    edoccha_9960073695602883
    Format: 1 online resource (477 p.)
    ISBN: 1-4832-9436-6
    Series Statement: Advances in Human Factors/Ergonomics ; Volume 6
    Content: The development of the theory of fuzzy sets was motivated largely by the need for a computational framework for dealing with systems in which human judgement, behavior and emotions play a dominant role. Although there are very few papers on fuzzy sets in the literature of psychology and cognitive science, the theory of fuzzy sets provides a much better model for human cognition than traditional approaches.By focusing on the application of fuzzy sets in human factors, this book provides a valuable, authoritative overview of what the theory is about and how it can be applied. An impressive feat
    Note: Description based upon print version of record. , Front Cover; Applications of Fuzzy Set Theory in Human Factors; Copyright Page; FOREWORD; PREFACE; Table of Contents; Part I: THE CONCEPT OF FUZZINESS: AN INTRODUCTION; CHAPTER 1. A PERSPECTIVE ON MATHEMATICAL MODELING IN HUMAN FACTORS; ABSTRACT; INTRODUCTION; MATHEMATICAL MODELS; DESIGN THEORY AND MODELS; A TAXONOMY FOR MATHEMATICAL MODELS; MATHEMATICAL MODELING IN HUMAN FACTORS; CONCLUSIONS; REFERENCES; CHAPTER 2. AN INTRODUCTION TO FUZZY SET THEORY; ABSTRACT; INTRODUCTION; FUNDAMENTAL CONCEPTS OF FUZZY SUBSETS; OPERATIONS ON FUZZY SETS; FUZZY RELATIONSHIPS , FUZZY NUMBERS AND THE EXTENSION PRINCIPLEREFERENCES; CHAPTER 3. FUZZY CONCEPTS IN HUMAN FACTORS/ERGONOMICS RESEARCH; ABSTRACT; INTRODUCTION; THE CONCEPT OF FUZZINESS; CONVENTIONAL VERSUS FUZZY SET THEORY AND LOGIC; FUZZY METHODOLOGIES - BASIC DEFINITIONS; THE LINGUISTIC APPROACH; APPROXIMATE REASONING; FUZZY NUMBERS; THE CONCEPT OF FUZZY EVENTS; THEORY OF POSSIBILITY; EXAMPLES OF EARLY APPLICATIONS; CONCLUSIONS; REFERENCES; CHAPTER 4. MEASUREMENT OF MEMBERSHIP FUNCTIONS; ABSTRACT; INTRODUCTION; AXIOMATIC FOUNDATIONS; ECRBRIMENTAL METHOD; MEASUREMENT AND VALIDATIONS; ACKNOWLEDGEMENTS , REFERENCESPart II: HUMAN-MACHINE COMMUNICATION; CHAPTER 1. DEALING WITH THE VAGUENESS OF NATURAL LANGUAGES IN MAN-MACHINE COMMUNICATION; ABSTRACT; I - INTRODUCTION; II - VAGUENESS AND MAN-MACHINE COMMUNICATION; III - MEANING REPRESENTATION ISSUES; IV - TAKING INTO ACCOUNT VAGUENESS AND UNCERTAINTY IN NATURAL LANGUAGE INTERFACES; V - CONCLUDING REMARKS; REFERENCES; CHAPTER 2. A NEW DATA-INPUT METHOD BASED ON THE CONCEPT OF EXTENDED FUZZY EXPRESSION & SUBJECTIVE ENTROPY OF PROBABILISTIC SETS; ABSTRACT; INTRODUCTION; SOME PROBLEMS IN IMS DATA INPUT METHOD; CONCEPT OF VAGUENESS , DETERMINATION OF OPTIMUM NUMBER OF STATESA NEW DATA INPUT METHOD USING MEMBERSHIP & VAGUENESS; VALIDITY CHECK BY SIMULATION EXPERIMENTS; REFERENCES; CHAPTER 3. TOWARDS AN ALGORITHMIC/PROCEDURAL ""HUMAN CONSISTENCY"" OF DECISION SUPPORT SYSTEMS : A FUZZY LOGIC APPROACH; ABSTRACT; INTRODUCTION; BASIC ELEMENTS OF ZADEH'S APPROACH TO THE REPRESENTATION AND MANIPULATION OF COMMONSENSE KNOWLEDGE; COMMONSENSE-KNOWLEDGE-BASED MULTICRITERIA DECISION MAKING MODELS; COMMONSENSE-KNOWLEDGE-BASED MULTISTAGE DECISION MAKING (CONTROL) MODELS , SOME REMARKS ON COMMONSENSE KNOWLEDGE IN GROUP DECISION MAKING AND CONSENSUS FORMATION MODELSCONCLUDING REMARKS; REFERENCES; CHAPTER 4. A FUZZY METHOD FOR THE MODELING OF HUMAN-COMPUTER INTERACTIONS IN INFORMATION RETRIEVAL TASKS; ABSTRACT; 1. INTRODUCTION; 2. RETRIEVAL TASK ANALYSIS; 3. A WAY TO REPRESENT UNCERTAINTY AND IMPRECISION; 4. THE DESIGN OF BIBLIO; 5. DISCUSSION AND CONCLUSION; REFERENCES; ACKNOWLEDGEMENTS; Part III: HUMAN OPERATOR: JUDGEMENT AND RELIABILITY , CHAPTER 1. TECHNIQUES FOR FITTING FUZZY CONNECTIVE AND LOGICAL OPERATORS TO HUMAN JUDGMENT DATA IN DESIGN AND EVALUATION OF MAN-MACHINE SYSTEMS , English
    Additional Edition: ISBN 1-322-47229-7
    Additional Edition: ISBN 0-444-42723-6
    Language: English
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