in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

Aesthetics relates to felt meaning generated from sensory perceptions, and involves subjective, tacit knowledge rooted in feeling and emotion. We believe the aesthetics of management is important, but little understood, aspect of organizational life. We propose that followers use their aesthetic senses in making these assessments. In this article we try to discover the role of aesthetic in man...

  Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to s...

the development of multiple criteria decision making techniques is to provide the possibility of using multiple criteria in decision making problems. multi-criteria decision making problems primarily relate to choosing the best option among several available options and according to some indicators. one of the major issues in this regard is to determine the importance weights of decision criter...

environmental factors are one of the most sensitive issues that should be considered in many decisions. site selection is one of the most widely used spatial decision making problems and is influenced by many environmental factors. the purpose of site selection is to find a set of appropriate spatial alternatives for a particular application. site selection is a multi-criteria decision making p...