matlab

The need for security and safety, being on the second step of the hierarchy of human needs defined by Maslow, is of great importance in the prosperity of citizens. Considering the geographical extent of cities and the role and importance and accumulation of centers of gravity, facilities and human resources at the top of threats, proper planning can play a fundamental role in risk management and reducing the city's vulnerability to accidents. Therefore, this research has been conducted with the aim of spatial analysis of the vulnerability of neighborhoods of Salmas city against earthquakes with a non-active defense approach. The current type of research is applied and the method of carrying out the work is descriptive-analytical and the collection of information is done through library and field studies. To achieve the goal of the research, 12 indicators have been selected and standardized based on fuzzy functions in GIS software. Then the 12 fuzzified indicators are overlapped and the vulnerability map of neighborhoods of Salmas city is extracted based on the passive defense approach. WASPAS method was used to show vulnerability in 13 neighborhoods of Salmas city and its data was analyzed in MATLAB software. The results showed that 16% of the area of Salmas is in the very low vulnerability zone, 33% in the low vulnerability zone, 29% in the medium vulnerability zone, 19% in the high vulnerability zone and 3% in the very high vulnerability zone. Also, the lowest level of vulnerability was related to neighborhood 10 and the highest level of vulnerability was related to neighborhood 13.

Battle and defense are always risky and costly, along with consuming lots of manpower and time. Every nation, especially our beloved homeland of Iran, due to its geographical location, rich resources and special political conditions, is forced to spend this effort and money to establish security. But can these difficulties be managed by some means and at some periods of time? With the advent of computers, artificial intelligence and its widespread application in various aspects of life, human beings have in fact achieved a fast and low-cost agent. This use of artificial intelligence in battle is very common today. The purpose of this study is to obtain a systematic framework for battle simulation and then to model and implement a battle simulation which helps managers in order to make decisions. To create this framework, we gathered the history of its evolution, described the relevant perspectives and methods in battle simulation, and then we addressed the challenges ahead in simulating the chaotic phenomenon of battle, and explained the limitations of simulation. Then, the mathematical requirements for our simulation have been presented and fundamental components of a battle such as battlefield, soldiers and movement have been simulated. Soldiers also equipped with various functions which let them make dynamic and automated decisions and find a safe path. The present research from the perspective of method is an analytical, library, applied and extensive research.

Possessing appropriate human resources is undoubtedly the most important organizational competitive advantage in today's state of flux governing the world. That’s why organizational success is reliant on human resource development which is viable in various companies and countries merely through identifying and understanding the capabilities and competencies of the enormous potential of human resources. Competency plays a key role in IT professionals’ performance as well as their success and efficiency. Thus, the present study aimed at designing a model for assessing the IT professionals’ competency based on the fuzzy expert system approach. This exploratory two-phase mixed-methods (qualitative-quantitative) research commenced with a qualitative analysis by reviewing the literature and interviewing experts to design the assessment model which was further subject to quantitative scrutiny in the second phase. The research sample comprised 15 hospital IT professionals who completed the questionnaire that was employed as the data collection instrument to glean the research data that were further analyzed through Excel, SPSS and Matlab software programs. The results of the qualitative and quantitative analyses pointed out four main indicators that were next prioritized with regard to their role in the degree of professionals’ competency using the process of fuzzy hierarchical analysis. The if-then database was completed and Mamdani Fuzzy Inference System was used to determine the exact competency level of IT professionals which was found to be high with an accurately equal to 0.712. Validation of the model verified compatibility of the results with the views of experts in the field.

One of the challenges facing organizations in a dynamic, complex and competitive situation today is the phenomenon of organizational laziness. The weakness and weakness of employees in performing their duties collectively is a problem that the Iranian organization faces more than before. In the present research, the goal is to provide The native model of organizational laziness and prioritization are the most effective causes of organizational laziness in Iran's organizations. For this purpose, 20 research experts used the research literature and after validation by using Delphi fuzzy method, and 4 dimensions and 15 components were identified. Selection of experts was done purposefully and with snowball method. In the next step, using the combination of Dematel and network analysis process,(DANP), and using MATLAB software, all direct and indirect relationships between dimensions and components were calculated. The final model of organizational laziness was presented and then based on the importance of ranking the dimensions of determination : Organizational factors, Management factors, Individual factors, Environmental factors.