Measurement Theory with Applications to Decisionmaking, Utility, and the Social Sciences: Measurement Theory

Introduction 1. Relations 2. Fundamental Measurement, Derived Measurement, and the Uniqueness Problem 3. Three Representation Problems: Ordinal, Extensive, and Difference Measurement 4. Applications to Psychophysical Scaling 5. Project Structures 6. Nontransitive Indifference, Probabilistic Consistency, and Measurement without Numbers 7. Decisionmaking under Risk or Uncertainty 8. Subjective Probability.