Modeling of Decision Maker Under Imperfect Information

In real-life, imperfect information is commonly present in all the components of the decision making problem. In decision making problems a DM is almost never provided with perfect, that is ideal decision relevant information to determine states of nature, outcomes, probabilities, etc. We are known that, relevant information almost always comes imperfect. Imperfect information is information which in one or more respects is imprecise, uncertain, incomplete, unreliable, vague or partially true [1]. Imprecision is one of the widest concepts including variety of cases. We will discuss uncertainty concepts of imperfect information and it application to problem modeling of decision maker. In the first stage of the modeling the identification determinants of a decision maker was implemented using Delphi method. The aim of the second stage consists of the linguistic evaluation of the factors. At the final stages decision makers model was realised by using possibilityprobability based method and Dempster-Shafer theory based model.