جستجوی مقالات مرتبط با کلیدواژه « مدل فازی » در نشریات گروه « مدیریت »

Currently, the world is continuously growing and developing due to the increase in population and diverse human needs, and its speed is increasing day by day. Therefore, humans always change and transform their surroundings and try to choose the best places for their lives. The purpose of the current research is to analyze and investigate the geomorphological limitations of the physical development of Mahabad city and its optimal location in the future development. For this reason, 1:100000 geological maps, layers of elevation, slope, direction of slope, geology, land use, flood, erosion, fault, satellite images and by processing and providing these parameters in ARC GIS software, editing and digitization have been done on them. Is. Finally, by using fuzzy and hierarchical logic models, land zoning has been done for the physical development of Mahabad city. The results showed that the formation of this city in its current position was not based on geomorphological studies, but due to the existence of fertile plains and plains, which are among the oldest human settlements. The most suitable direction for the physical development and expansion of Mahabad city is towards the north and towards Mahabad Jalga (ruined city). According to the zoning map, about 12.5% ​​in fuzzy multiplication and about 29.1% in fuzzy addition are part of the appropriate area.

Earthquake as one of the most important natural hazards in cities, causes huge financial and human losses every year, and one of the most necessary measures in this field is the application of disaster risk management principles. One of the most important requirements of those affected by natural hazards is to have a safe shelter.

The type of research is applied and conducted based on descriptive-analytical approach. Based on effective criteria for the optimal location of emergency and temporary housing, 19 information layers of Damghan city were used, and then a map of suitable areas for emergency and temporary housing was prepared using Fuzzy model and ArcGIS software.

The results obtained showed that, the parts located within the boundaries of Daneshjoo Park and Jungle Park, Imam neighborhood, Baharestan neighborhood, Mosala (under construction), Golestan settlement and Mehr housing, University of Basic Sciences Damghan, Imam Hossein, 15 Khordad, Daneshjoo and Saadi squares in the city of Damghan had a higher priority for locating emergency and temporary housing after a possible earthquake, which requires the proper attention of organizations and departments (municipality, governorate, Red Crescent, etc.) In the field of providing and equipping the infrastructure, providing necessary tools, equipment and items (medicine, food, water and energy sources, etc.) during possible earthquake in Damghan city, along with the education of all citizens and their participation. It should be noted that the rest of the existing urban area of Damghan, which is about 70% of the urban area, needs serious attention considering crisis management caused by a possible earthquake and is not suitable for emergency and temporary housing.

The main crisis management strategy is to build emergency and temporary housing bases for earthquake survivors to reduce the damaging effects after an earthquake. Therefore, in urban land use planning in cities such as Damghan, it is necessary to locate land use suitable for earthquake risk such as rescue and rescue centers and shelters according to the population and other geographical and climatic conditions (weather and wind conditions).

Vulnerability assessment caused by earthquake is necessary in Tehran and its surrounding because of its situation on the faults and also non-observance the earthquake engineering in construction. The objective of this study is to assess the vulnerability caused earthquake in Tehran and its surroundings.
Vulnerability index such as magnitude of earthquake, distance from the faults, land usage, urban population density, rural population density, roads density, elevation and slope based on fuzzy model were used and the vulnerability zonation map caused by earthquake for Tehran and its surroundings was achieved.
Findings: The results showed that about 20%, 64.18% and 29.61%, respectively, of areas are situated in very high and high, medium, low and very low vulnerable zones. The high vulnerability areas are situated in the mountainous and foothill areas and beside the active faults. These vulnerable areas are also situated where large and destructive earthquakes happened through times. Therefore, there is a risk of more damages in case of reoccurrence of 6 Richter and more earthquakes.
Considering the high of this area, it is suggested to prevent urban development and non-observance constructions in mountainous and foothill zones as well as reconstructions considering social, economic and cultural views. The managers and urban planner may use vulnerability zonation map to prevent or decrease vulnerability caused by earthquake.

The purpose of this study is primarily to provide a performance-based budgeting model (PBB) in the Institute for Management and Planning Studies (IMPS). So the one hand allocating budgets to programs is based on programs’ importance and on the other hand, allocating budgets to groups is based on per capita students that were assigned by Ministry of Sciences, Researches and Technology. Considering various criteria in this institute, the PPB Goal programming model is designed. An important point in designing the PBB model is the use of efficiency coefficient calculated based on the Data Envelopment Analysis (DEA) to determine important coefficient of each educational group for budget allocation. In addition, importance coefficient of each program and the goals of the problem are determined based on paired comparison by experts. Given the uncertainty in the parameters of the PBB model, using robust and fuzzy logic, some adopted scenarios from nominal model are designed including robust, fuzzy, and fuzzy-robust models. Finally, the obtained solutions from these models are compared and the strengths and weaknesses of each of them are examined. In addition, in order to evaluate the effectiveness and efficiency of the proposed models, Monte Carlo simulation is used. The modeling results and simulations provide useful information to decision makers for making a reasonable decision by balancing the decision risk levels (possibility of violating constraints) and conservation level.

The mountainous parts of Tehran province is located on the formations where are susceptible to landslides and if the landslide occurres in these areas, we will be facing the irreparable effects in various aspects. The purposes of this study are investigation and analysis of landslide in Tehran province and zonation of those areas where are susceptible to landslide. This zonation is done by using 8 quantitative and qualitative indicators, including geology, elevation, slope, aspect, distance from the faults, distance from the rivers, land use and average annual precipitation as the factors in the occurrence of landslide in ArcGIS software. The result of the present study showed that about 13.31 percent of the study area is located in high and very high zones of potential vulnerability, 13.71 percent of the study area is located in moderate zone of potential vulnerability, and about 72.94 percent is located in low and very low zones of potential vulnerability as well. After conducting field observations of landslide-prone areas and comparing it with the zonation map, accuracy and efficiency of fuzzy model will be verified. High and very high zones of potential vulnerability are mainly foothills and mountainous areas of Tehran Province. We considered high vulnerability due to topography and human factors. However, risk of landslides morphology seems to be a function of slope, indicating the role of slope in landslide occurrence.

Fast relief and response is one of the responders’ tasks after the vigorous earthquakes in urban areas. Building damage maps can specify the relief and response priority. Remote sensing is one of the main sources in damage map production. Various research has been carried out on damage assessment using remote sensing data. In this research، the information about the classes has been extracted using pixel based classification from post-earthquake satellite image. By using the information about the classesand ANFIS model، a fuzzy system was designed that determines the rate of damage to the buildings using the percentage of the pixels engaged by building، shadow and debris in the building''s polygon. The results of this study show that designed neuro-fuzzy system achieved the overall accuracy equal 0. 92 in classifying buildings to the three damage level. Buildings were classified to undamaged، heavy damage and destroyed levels.

This paper submitting the computation of optimize point of ordering in inventory control systems and particularly for continuous review of ordering system (r,Q) by fuzzy logic method which similarly can be used for other ordering systems. Since in the ordering models we cannot forecast the parameters like cost exactly, we have ambiguity. In this case using precise parameters may cause wrong decision making. In other hand using the statistical methods for parameters like cost is not proper. Therefore in this paper we have provided a method for using fuzzy numbers in the decision making about the ordering systems. For fuzzification we have used trapezoidal fuzzy number and for defuzzification we have used signed distance method. Finally there has been presented a numerical example in order to explain the given model.