We propose a significant improvement to a quality-of-service index on which several recently published scholarly works have been based. They use this index as a “utility function” in a formulation of radio resource management issues, in particular power control, from the perspective and explicitly using the language of microeconomic theory. The literature’s index is based on an ad-hoc, difficul...

Calibration of the different types of utility functions of money is discussed in this paper. This calibration is based on an expected utility maximization of different alternatives of investment strategies which are offered to persons in a short questionnaire. Investigated utility functions have different Arrow-Pratt absolute and relative risk aversion coefficients. Moreover, the paper proposes...

The maximum entropy principle can be used to assign utility values when only partial information is available about the decision maker’s preferences. In order to obtain such utility values it is necessary to establish an analogy between probability and utility through the notion of a utility density function. In this paper we explore the maximum entropy principle to estimate the utility functio...

Utility is a concept that is central to economics, finance, and decision theory. In the informing sciences, it also plays a central role: that of explaining the client’s motivation to be informed. Unfortunately, existing economic models of utility are plagued by many anomalies when applied to individual clients and also fail to incorporate many important features that are relevant to informing ...

In the practice of autonomic computing, utility functions have been applied for achieving self-optimization in autonomic computing systems. Utility functions are suggested to guide an autonomic computing system to optimize its own behavior in accordance with high-level objectives specified by the system administrators. In this paper, we present two concrete examples to illustrate how utility fu...

There is a growing recognition that discrete choice models are capable of providing a more realistic picture of route choice behavior. In particular, influential factors other than travel time that are found to affect the choice of route trigger the application of random utility models in the route choice literature. This paper focuses on path-based, logit-type stochastic route choice models, i...

since the emergence of power market, the target of power generating utilities has mainly switched from cost minimization to revenue maximization. they dispatch their power energy generation units in the uncertain environment of power market. as a result, multi-stage stochastic programming has been applied widely by many power generating agents as a suitable tool for dealing with self-scheduling...