List of Articles Fuzzy analytic hierarchy process (FAHP)

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  1 - Identification of the prone lands for wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP
  Saeedeh Eskandari Sajad Ali Mahmoudi Samira Zandifar
  10.30495/girs.2020.672374
  Regarding stop industrial forests exploitation in northern Iran, this study was conducted to determine the suitable areas for wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP and GIS. The indices used were included four main indices, water resources, lan More

  Regarding stop industrial forests exploitation in northern Iran, this study was conducted to determine the suitable areas for wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP and GIS. The indices used were included four main indices, water resources, land use, climate and soil and 22 related sub-indices (Soil texture, soil depth, soil salinity, soil acidity, distance from the river, water volume, surface water salinity, groundwater depth, groundwater salinity, mean annual temperature, mean minimum annual temperature, mean maximum annual temperature, minimum absolute temperature, maximum absolute temperature, mean annual rainfall, mean annual relative humidity, mean annual wind speed, shrublands around the rivers, sandy hills, Jihad Nasr lands, empty lands around the Jihad Nasr channels, empty lands around the water resources). Maps of these factors were prepared using Google Earth satellite imagery (from summer of 2017 to 2019), ground sampling (September of 2019) and available data. Eucalyptus cultivation map in Khuzestan province was also prepared from Khuzestan Natural Resources Administration and ground sampling by GPS in September of 2019. The land use map was prepared by the digitization of land use/cover using Google Earth satellite imagery from summer of 2017 to 2019. Accuracy of land use map was evaluated by 60 ground control points. The weight of effective indices in Eucalyptus wood farming potential was calculated using Fuzzy AHP. For this purpose, 30 expert questionnaires (30 expert judgments) were distributed among the scientific and operating experts of wood farming to express the importance and priority of effective factors in wood farming. Then, the mean questionnaire was obtained and it was analysed by Chang triangular fuzzy extent analysis. Based on this method, the normal weights of the indices and sub-indices were calculated using Fuzzy AHP method. Using the linear weighted combination of effective sub-indices, maps of the main indices and then a map of Eucalyptus wood farming potential was prepared. Finally, the wood farming potential map was validated by Eucalyptus cultivation map and its accuracy was evaluated in identifying the suitable areas for Eucalyptus wood farming in Khuzestan province. The results showed that among the main indices, water resources and land use had the most importance in the determination of the prone lands for Eucalyptus farming in Khuzestan province based on the Fuzzy AHP. According to the results, 12.83% of the area had very good potential and 10.47% of the area had good potential for Eucalyptus farming.  The results of the accuracy assessment of wood farming potential map also showed that Fuzzy AHP with overall accuracy 82% had good accuracy in identification of the prone areas for wood farming in Khuzestan province. Manuscript profile
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  2 - The Zoning of Earthquake risk by using fuzzy inference system and fuzzy analytic hierarchy process
  Kazem Rangzan Mostafa Kaboulizade Ebrahim Mansour Naeimi
  The present research was performed with the aim of microzonation risk of earthquake using fuzzy inference system model and fuzzy analytic hierarchy process in district 1 of Ahvaz Municipality. In this study 19 criteria (population, land use, building density, occupancy More

  The present research was performed with the aim of microzonation risk of earthquake using fuzzy inference system model and fuzzy analytic hierarchy process in district 1 of Ahvaz Municipality. In this study 19 criteria (population, land use, building density, occupancy level, historical background, floors, structures, distance from health centers, outdoor fireplaces and military facilities, proximity to faults, electrical, subway, high-pressure gas and petrol stations) were selected and converted into raster format in ArcGIS®10.1 environment to generate the standard layers. Linguistic variables limitation and fuzzy membership functions were then written using MATLAB program. The results indicated that,  the fuzzy inference system has better performance than  fuzzy analytic hierarch process model. In addition, based on the results of the fuzzy inference system, existence of areas with a very high, high, and a medium rate of risk showed 60% (4.48 Km2) of total area (​7.6 Km2). This indicated the existence of the medium up to a high rate of risk in mentioned district. Furthermore the area with low and very low rate of risk was 40% of area (3.12 Km2) which is  mostly consisted of arid lands and farms in the west and southwest of the district. Manuscript profile
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  3 - Flood hazard potential zonation of Baghan watershed using fuzzy analytic hierarchy process method (FAHP)
  Nematollah Nasrinnejad Kazem Rangzan Nasrollah Kalantari Azim Saberi
  The aim of this research is flooded hazard potential zonation of Baghan watershed using geographic information system (GIS) and Fuzzy analytic hierarchy process method (FAHP). After identifying effective factors in flood hazard (slope, digital elevation model, permeabil More

  The aim of this research is flooded hazard potential zonation of Baghan watershed using geographic information system (GIS) and Fuzzy analytic hierarchy process method (FAHP). After identifying effective factors in flood hazard (slope, digital elevation model, permeability, lithology, infiltration, land use, vegetation cover density, precipitation, network drainage density, distance from the stream), criteria and subcriteria weight were calculated using pairwise comparisons and experts' comments as well as FAHP. Watershed flood hazard potential was zoned and finally, the watershed was categorized into five classes based on flood hazard risk using a fuzzy gamma operator. The results of flood hazard risk zonation indicate that classes 1, 2 and 3 are generally located in mountainous areas and include about 22% (203 km2) of the region and so it can be concluded that, the 22% part of runoff yield, watershed management projects in this region are in priority. Classes 4 and 5 have less flood hazard potential in comparison to class 1, 2 and 3 and are located in slopes and taluses in mountainous areas and cover about 78% (706 km2) of the region. Manuscript profile
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  4 - The Effective Factors on the Development of Agro-Tourism (Case Study: Mahalat County)
  Aliakbar Anabestani Kebriya Moradi
  Due to the umbrella-like nature of tourism industry, it has various types and is divided to different parts that agricultural tourism is one of its subsets. One of the most crucial factors of planning and development of tourism is the recognition of effective factors on More

  Due to the umbrella-like nature of tourism industry, it has various types and is divided to different parts that agricultural tourism is one of its subsets. One of the most crucial factors of planning and development of tourism is the recognition of effective factors on its development. Mahalat County enjoys many potentialities in agritourist due to having scenic and exotic agricultural attractions particularly farms and gardens growing plants and flowers. Therefore, planning and development of plants and flowers of this province needs attention to various effective aspects on development of this type of tourism one of which is effective factors on development of agricultural tourism. In line with this matter, the aim of the present study is recognizing the effective factors on the development of agricultural tourism of Mahalat County. The study is descriptive-analytic and it is a practical study regarding its aim. The sample of the study consists of the officials and intellects in tourism field in Mahalt County. Fuzzy Analytic Hierarchy Process (FAHP) was used for the data analysis. The findings of the research indicate that social-cultural factors with an index of (%768) are the most influential factors on the development of agricultural tourism. From this perspective, agricultural pivot with the effect index of (%768), culturing with effect index of (%768), and advertisement with the effect index of (%768) have the most roles in the development of agricultural tourism in Mahalat County. Manuscript profile
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  5 - Ecological Potential Modeling for Agricultural and Rangeland Development Using GIS-based FAHP Approach: A Case Study of Razin Watershed
  Saeed Mahmoudi Mahmud Khoramivafa Moslem Hadidi
  10.30495/rs.2023.687715
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