Many companies set performance targets for their divisions to decentralize the decision-making process and communicate with outside investors. This paper analyzes the effects of performance targets on the decision-making behavior of the divisions. We introduce the notion of an 'effective utility...

Many of the complex problems faced by decision makers involve uncertainty as well as multiple conflicting objectives. This book provides a complete understanding of the types of objective functions that should be used in multiattribute decision making. By using tools such as preference, value,...

Personal, or subjective, probabilities are used as inputs to many inferential and decision-making models, and various procedures have been developed for the elicitation of such probabilities. Included among these elicitation procedures are scoring rules, which involve the computation of a score...

This paper considers the maximization of certain equivalent reward generated by a Markov decision process with constant risk sensitivity. First, value iteration is used to optimize possibly time-varying processes of finite duration. Then a policy iteration procedure is developed to find the...

In this paper, a design of strategies for players in pursuit-evasion games, is provided. The design incorporates players' preferences captured in their goal functions which are constructed using particular functional forms that include multiattribute copulas. The approach provides closed-form...

We present a new method for constructing joint probability distributions of continuous random variables using isoprobability contours--sets of points with the same joint cumulative probability. This approach reduces the joint probability assessment into a one-dimensional cumulative probability...