An Improved Uncertainty Measure Theory Based on Game Theory Weighting

Generalized Aggregate Uncertainty Measure 2 for Uncertainty Evaluation of a Dezert-Smarandache Theory based Localization Problem

In this paper, Generalized Aggregated Uncertainty measure 2 (GAU2), as a newuncertainty measure, is considered to evaluate uncertainty in a localization problem in which cameras’images are used. The theory that is applied to a hierarchical structure for a decision making to combinecameras’ images is Dezert-Smarandache theory. To evaluate decisions, an analysis of uncertainty isexecuted at every...

Decision Theory = Performance Measure Theory + Uncertainty Theory

The decision theory is defined typically as the combination of utility theory and probability theory. In this paper we generalize the decision theory as the performance measure theory and uncertainty theory. Intelligent agents look for approximate optimal decisions under bounded resources and uncertainty. The $-calculus process algebra for problem solving applies the cost performance measures t...

Transmission cost allocation based on cooperative game theory

Iranian Politics in OPEC Based on Game Theory

In the current political-economic conditions and the numerous violations by OPEC members of the group's resolutions due to political and economic rivalries, especially the situation in the Middle East, the increase in political tensions between Iran and Saudi Arabia, along with the demand for OPEC oil and the position of OPEC in the global market Oil, internal competition among OPEC members has...

An Optimization Model Based on Game Theory

Game Theory has a wide range of applications in department of economics, but in the field of computer science, especially in the optimization algorithm is seldom used. In this paper, we integrate thinking of game theory into optimization algorithm, and then propose a new optimization model which can be widely used in optimization processing. This optimization model is divided into two types, wh...