جستجوی مقالات مرتبط با کلیدواژه « روش topsis » در نشریات گروه « جغرافیا »

The expansion of sustainable agriculture and the proper use of the country's water and soil resources require the selection of suitable plant species that are compatible with the climatic conditions of the country. Therefore, the optimal use of natural resources through the planting of plants compatible with the conditions of the region can guarantee human health, the sustainability and progress of sustainable agriculture, in fact, for the optimal use of land, the issues of water, soil and air cannot be analyzed separately For such researches, a framework such as zoning is proposed to plan, operate and properly use homogeneous pieces of land. Rosa damascene has a low water requirement and is highly adaptable to dry conditions. Considering Iran's climatic and geographical characteristics, the expansion of the cultivation of the Rosa damascene plant has gained double value.

Ardabil province in the north-west of Iran, with an area of 17,953 square kilometers, covers 1.09% of the total area of the country. Its geographical coordinates are between 37 degrees 25 minutes to 39 degrees 42 minutes north latitude and 47 degrees 3 minutes to 48 degrees 55 minutes east longitude. In the current research, using climatic criteria (Growth Degrree Days, annual precipitation, precipitation of the growing season, average temperature of the growing season, sunny hours of the growing season, and altitude) The growth of each plant starts from a certain thermal threshold, and the growth threshold of the rose is 2.5 degrees Celsius and the fuzzy TOPSIS method and the ANP network analysis process, the stations of Ardabil, Khalkhal, Parsabad and Meshginshahr have been selected for the cultivation Rosa damascene. The growth of each plant starts from a certain thermal threshold, and the growth threshold of the rose is 2.5 degrees Celsius. The steps of the TOPSIS technique include forming a decision matrix, forming a scale-free matrix, determining the Euclidean distance and choosing the best option, and the steps of the ANP method include creating a network structure between criteria, options and the goal, pairwise comparison of matrices and Formation of super matrix and selection It is the best option. In this model, each cluster and elements have a mutual relationship and the relationship of each criterion and clusters is checked with each other and they get a score between 1 and 9. The zoning and final drawing of the maps were done in the Surfer software environment and interpolation was done with the Radial Basis Functions method.

After weighting the effective parameters for the cultivation of Rosa damascene based on TOPSIS models and the ANP network analysis process and performing modeling and analysis of climate data, the final interpolation map for Rosa damascene cultivation was prepared based on the climatic potential and abilities. The results showed that in prioritizing the options for growing roses using the TOPSIS and ANP methods, the priority of the options is related to Meshgin Shahr, Khalkhal, Ardabil and Parsabad stations. In fact, the unrestricted lands include Meshgin Shahr station, which is the best place for cultivation due to its good climatic capabilities, and Ardabil and Khalkhal stations have low and medium restrictions for cultivation. The lands of this station have relatively weaker conditions than is the MeshginS hahr station , but good performance is expected from it. Parsabad station has very limited lands, which according to the assessment of climatic capability, this station lacks suitable potential for growing Rosa damascene.

In evaluating the ability of the habitat to plant a crop, not all criteria are equal. Some criteria play a key role. For this reason, factors are weighted in order to obtain a ranking of the value of decision criteria regarding suitable places for agriculture. The current research was conducted using TOPSIS and ANP methods and 6 effective atmospheric elements in the cultivation of Rosa damascene, standardization and formation of a ranking decision matrix based on these scores to determine and rank the Rosa damascene cultivation. These methods are more capable than other common methods. are doing the ranking more accurately. Finally, by interpolation (RBF) method, a map of the areas suitable for the cultivation of Rosa damascene was prepared. In the zoning map, there are very suitable areas for Mashgin Shahr station and unsuitable areas for cultivation at Parsabad station.

Tourism industry increases foreign exchange revenue and thus has an important role in economic development, especially in developing countries. Tourist attractions as one of the pillars of tourism industry along with other elements including infrastructure will provide the necessary conditions for attracting tourists. Given the importance of tourism’s role in economic development on the one hand and tourism potential in Kurdistan province on the other, it is necessary to apply an appropriate procedure to prioritize different areas for different investments in the province. This study aims to evaluate and prioritize the cities in Kurdistan province through TOPSIS model based on tourism development indicators (natural attractions; historical, cultural and religious attractions; man-made attractions; commercial attractions; touristic villages; hotels; accommodation rooms; tourism service agencies; travel agencies; active toll-houses; traffic police; road emergency stations; on-road accommodation; and accident blackspots) in the four richness/development levels of over-developed, developed, semi-developed, and under-developed to achieve appropriate and efficient planning. The methodology of the study is descriptive-analytic and data is collected through library-documentation method. The results of the study indicate that Sanandaj with a priority coefficient of 0.82 is over-developed; Marivan, Saqez, and Baneh with priority coefficients of 0.382, 0.387 and 0.35, respectively, are developed; Bijar, Kamyaran and Qorveh with priority coefficients of 0.23, 0.21 and 0.20, respectively, are semi-developed; and Dehgolan, Sarvabad and Divandarreh with priority coefficients of 0.12, 0.096 and 0.078, respectively, are under-developed (deprived)

 Change and destruction of the environment by human activities, has been increased that results can be pointed out to the landscape change. This paper aims to determine the best scenario to protect and restore land cover changes in the future with an emphasis on the patches connection of natural vegetation. Predict the ecological impacts of management scenarios based on metrics values determine and then the best scenario-based TOPSIS method was selected. In addition, the implementation of the scenario of protection and restoration in the watershed Tajan will be reduce the number of patches from 7600 to 4657 patches in natural vegetation and will cause better connectivity that is a sign of decreasing degradation and fragmentation of the landscape in the study area. The approach used in this study the possibility of predicting the ecological results of land use for achieve the objectives of the assessment and better integrated management of the watershed changes provides.