The optimal distribution of the subjective individual preferences functions delivers the maximal magnitude value of the objective variable containing the uncertainty measure of the preferences functions of the optional prices. The parameter of the basis price can be interpreted as the price of the complete indifference. These discoveries broaden the horizons of the entropy approach models of objects with uncertainty and processes with limitations. In addition, it is applicable to the problems of the economic activity as well as information in the digital business implementations in the framework of the entropy paradigm. For further investigations it is proposed to search for the optimal prices in the case with two kinds of buyers.The pres...
The paper builds on the ideas of previous research concerning the theoretical explanation of the air...
Abstract This paper extends the subjective expected utility model of decision making under uncertain...
The concept of uncertain entropy is used to pro-vide a quantitative measurement of the uncertainty a...
The entropy approach helps finding the optimal solutions in conflict situations between buyers and s...
The main and most important is the principle of subjective optimality. In its formulation the main r...
The presented paper is devoted to the application of the entropy methods to the transport systems ma...
In this publication the subjective entropy paradigm as a tool of an active system control is discuss...
Taking into account the optimal distribution of the preferences functions allows predicting three ti...
We develop a general framework to study source-dependent preferences in economic contexts. We behavi...
The maximum entropy principle can be used to assign utility values when only partial information is ...
Uncertainty is one of the most important concept in financial mathematics applications. In this pape...
There are several main contributions of the work presented in this thesis. Specifically, we have: (1...
We consider the elicitation of incomplete preference information for the additive utility model in t...
This paper extends the subjective expected utility model of decision making under uncertainty to inc...
Preference analysis is a class of important issues in ordinal decision making. As available informat...
The paper builds on the ideas of previous research concerning the theoretical explanation of the air...
Abstract This paper extends the subjective expected utility model of decision making under uncertain...
The concept of uncertain entropy is used to pro-vide a quantitative measurement of the uncertainty a...
The entropy approach helps finding the optimal solutions in conflict situations between buyers and s...
The main and most important is the principle of subjective optimality. In its formulation the main r...
The presented paper is devoted to the application of the entropy methods to the transport systems ma...
In this publication the subjective entropy paradigm as a tool of an active system control is discuss...
Taking into account the optimal distribution of the preferences functions allows predicting three ti...
We develop a general framework to study source-dependent preferences in economic contexts. We behavi...
The maximum entropy principle can be used to assign utility values when only partial information is ...
Uncertainty is one of the most important concept in financial mathematics applications. In this pape...
There are several main contributions of the work presented in this thesis. Specifically, we have: (1...
We consider the elicitation of incomplete preference information for the additive utility model in t...
This paper extends the subjective expected utility model of decision making under uncertainty to inc...
Preference analysis is a class of important issues in ordinal decision making. As available informat...
The paper builds on the ideas of previous research concerning the theoretical explanation of the air...
Abstract This paper extends the subjective expected utility model of decision making under uncertain...
The concept of uncertain entropy is used to pro-vide a quantitative measurement of the uncertainty a...