Fairness and efficiency are important aspects that influence cooperation in social dilemmas. During a repeated interaction, they have the potential to serve as competing goals for the decision maker. The ability to balance between fairness and efficiency depends, among other things, on available information regarding mutual accountability for the outcomes in an interaction. In this paper, we ex...

The concept of value is of great importance for investors. The goal of different groups of investors is always to maximize the value of their capital. The aim of this research is developing factors effective on securities in capital market in order to develop a paradigm for fair valuation that leads investors to make better decisions. To study fair value in a precise and comprehensive way, effe...

Fair division methods offer guarantees to agents of the proportional size or quality of their share in a division of a resource (cake). These guarantees come with a price. Standard fair division methods (or “cake cutting” algorithms) do not find efficient allocations (not Pareto optimal). The lack of efficiency of these methods makes them less attractive for solving multi-agent resource and tas...

uncertainty analysis is a useful tool to evaluate soil water simulations in order to get more information about the models output. these information provide more confidence for decision making processes. in this study, swap model is applied for soil water balance simulations in two fields which are planted by wheat and maize in an arid region. first the amount of uncertainty is estimated and co...

Grid Computing has emerged as an important new field focusing on resource sharing. One of the most challenging issues in Grid Computing is efficient scheduling of tasks. In this paper, we propose a Load balancing algorithm for fair scheduling, and we compare it to other scheduling schemes such as the Earliest Deadline First, Simple Fair Task order, Adjusted Fair Task Order and Max Min Fair Sche...