A combination of various fuzzy systems on identification and evaluation of soccer players’ position is represented in this article. In other words, fuzzy logic, as an appropriate means, has been applied to study soccer player's personality traits and skills to figure out which position suits each individual best. Soccer experts are aware of the fact that a successful soccer player in any intended position must bear some specific characteristics. Using fuzzy logic, a model has been offered, called soccer player position identification. This model has some important features: First, the most appropriate position for each individual player can be identified. Second, this system offers some solutions to problems caused by the experimental and intuitive couches’ ideas about player positioning which decreases the need for experts and professional couches. Third, this model overcomes the problems in the analysis of player positioning without the need for quantitative scales, and last but not least, this easy and interpretable method, applied to 264 soccer players' assessments have revealed that the designed fuzzy system is able to identify the qualities among players.

Information security management is a part of information management, whose main task is to determine information goals and remove obstacles on the way of achieving such goals with providing necessary strategies. Information management is responsible to implement and control the performance of the organization`s security system while tries to keep it up to date. The purpose of information security management in an organization is maintaining different sorts of resources as software, hardware, information, communication and human resources.
The organization needs an integrated program against threats such as unauthorized access to information, environmental risks and dangers caused by users. In the present paper, the IT risk in an organization was assessed through an intelligent system benefiting from fuzzy analysis and certainty factors. As most of ambiguity samples have a level of belie, so doubt and the degree of membership were calculated as a part of output in the system and a better result achieved compared to previous methods.