Publication Date



Technical Report: UTEP-CS-12-23

Published in Proceedings of the Tenth International Conference on Application of Fuzzy Systems and Soft Computing ICAFS'2012, Lisbon, Portugal, August 29-30, 2012


Traditional decision theory is based on a simplifying assumption that for each two alternatives, a user can always meaningfully decide which of them is preferable. In reality, often, when the alternatives are close, the user is either completely unable to select one of these alternatives, or selects one of the alternatives only "to some extent". How can we extend the traditional decision theory to such realistic interval and fuzzy cases? In their previous papers, the first two authors proposed a natural generalization of the usual decision theory axioms to interval and fuzzy cases, and described decision coming from this generalization. In this paper, we make the resulting decisions more intuitive by providing commonsense operational explanation.