Abstract
A model for reasoning about trust and risk is developed as a result of investigating the representation and processing of beliefs within a type-2 fuzzy logic framework. This model is shown to be more realistic than the Dempster-Shaffer theory and subjective logic because of its lack of restriction to binary propositions. The model also gives an indication of the quality of its implications by allowing best case and worst case analyses. This model is tested using the game theoretic prisoners dilemma problem as well as the hypothetical operation of an Internet store. In both cases the model is shown to give a more realistic modeling environment and deliver more useful information than when using crisp values or type-1 sets in situations where input values and pay-offs are uncertain.
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