Fuzzy Sets in Psychology 1st edition by Tamas Zetenyi ISBN 0080867103 9780080867106

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ISBN 10:       0080867103
ISBN 13: 978-0080867106
Author:         Tamas Zetenyi

Fuzzy Sets in Psychology 1st  Table of contents:

Chapter 1: Possibility Theory, Fuzzy Logic, and Psychological Explanation

• Has psychology inherited the wrong mathematics?
• The nature of possibility
• Measuring freedom and constraint
• Weak entailment and prediction
• Possibilism in psychological theory and research
• References

Chapter 2: Quantifiers As Fuzzy Concepts

• Quantifiers and syllogistic reasoning
• Quantifiers and rating scales
• Psycholinguistic studies of quantifiers
• Overview and synthesis
• Summary and conclusions
• References

Chapter 3: A Common Framework For Colloquial Quantifiers and Probability Terms

• Introduction
• Fuzzy numbers and qualifiers
• Fuzzy arithmetic as a model for reasoning
• Context specificity of qualifiers
• Conclusions
• References

Chapter 4: An Empirical Study of the Integration of Linguistic Probabilities

• Fuzzy set aggregation connectives
• Previous empirical results
• Method
• Results
• Discussion
• References

Chapter 5: A Fuzzy Propositional Account of Contextual Effects on Word Recognition

• Contextual effects on word identification
• An alternative paradigm
• Experiment 1
• Experiment 2
• General discussion
• Conclusion
• References

Chapter 6: M-Fuzziness in Brain/Mind Modelling

• Introduction
• The conception of m-fuzziness
• Possible implementation in the brain
• On m-fuzzy relations
• Concluding remarks
• References

Chapter 7: The Weighted Fuzzy Expected Value as an Activation Function for Parallel Distributed Systems

• Introduction
• Activation functions
• The fuzzy expected value as activation function
• The weighted fuzzy expected value as activation function
• Density and orthogonality assumption
• Comparison of weighted mean and wfev
• Conclusion
• References

Chapter 8: Fuzzy Logic with Linguistic Quantifiers: A Tool for Better Modeling of Human Evidence Aggregation

• Introduction
• Fuzzy logic-based calculi of linguistically quantified propositions
• Multi-objective decision-making models with linguistic quantifiers
• Multistage decision-making (control) models with linguistic quantifiers
• Group decision-making models with a fuzzy majority
• Concluding remarks
• References

Chapter 9: Origins, Structure, and Function of Fuzzy Beliefs

• Formation of fuzzy beliefs
• Language of fuzzy beliefs
• System of fuzzy beliefs
• Structure of fuzzy beliefs
• Conclusion
• References

Chapter 10: Brain Activity and Fuzzy Belief

• Introduction
• Brain activity
• Recalling the text
• Methods
• Results
• Discussion
• References

Chapter 11: Acquisition of Membership Functions in Mental Workload Experiments

• Introduction
• Structure of the experiment
• Scale properties of data
• Significance tests
• Linguistic interpretation
• Conclusions
• References

Chapter 12: A Fuzzy Set Model of Learning Disability: Identification from Clinical Data

• Difficulty with traditional mathematics
• The search for models
• Learning disability – a fuzzy set
• The process of quantification
• Conclusions
• References

Chapter 13: Towards a Fuzzy Theory of Behaviour Management

• Introduction
• Reference case
• Practitioner’s operations
• Expected subject events
• Symbolic statement of fuzzy algorithms
• Concluding remarks
• References

Chapter 14: Practical Applications and Psychometric Evaluation of a Computerized Fuzzy Graphic Rating Scale

• The need for fuzzy measurement in psychology
• Fuzzy graphic rating scale
• Evaluation of the fuzzy graphic rating scale
• Results
• Potential applications

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