The purpose of this study is designing a model based on Tobit regression, DEA, Artificial Neural Network, Genetic Algorithm and Particle Swarm Optimization to evaluate the efficiency and also benchmarking the efficient and ...

In this research, we proposed a new metaheuristic technique for stock portfolio multi-objective optimization employing the combination of Strength Pareto Evolutionary Algorithm (SPEA), Adaptive Neuro-Fuzzy Inference System ...

Improving out-of-sample forecasting is one of the main issues in financial research. Previous studies have achieved this objective by increasing the number of input variables or changing the kind of input variables. Changing ...

The aim of this study is to provide a new two-stage DEA model with fuzzy multi-objective programming approach for evaluating the performance of companies listed in the Tehran Stock Exchange. In this study, a two-stage DEA ...

Development of downstream operations in the Iran's petroleum industry has always been considered as a necessity in to create more value-added. One of ways to accomplish the misson, especially in the current situation, is ...

Supply chain companies are one of the most important elements of the economy of each country. These companies play an important role in the expansion and activities of other companies through the provision of capital, ...