Descriptive decision-making of lung cancer treatment using a DM model with Dempster-Shafer theory and Prospect theory

This paper explains a descriptive decision-making framework under uncertainty elucidating different decision attitudes of a newly-diagnosed lung cancer patient regarding treatment decision. The problem of treatment decision making of a lung cancer patient has been defined as Evidential Decision-making Problem (EDMP) at first. Belief function of Dempster-Shafer theory is exploited to explain uncertainty of EDMP and Prospect theory is applied to accomplish a descriptive decision-making framework. The goal of this paper is to find what decisions regarding treatments are made by a lung cancer victim when attitudes towards uncertainty are different.