List of Articles Fuzzy logic model

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  1 - Locate suitable sites for burial of solid waste management strategies in using Gis (case of study: shooshtar)
  Ahmad Poor Ahmed Mohsen Ranjbar Seyed Abbas Rajai Marzieh Hemmati zadeh
  Waste production, including problems of urban management is today one of the major problems of big cities into Has been. In this study, geographical information systems for optimal positioning and management buried urban waste have been used. For this purpose 20 layers More

  Waste production, including problems of urban management is today one of the major problems of big cities into Has been. In this study, geographical information systems for optimal positioning and management buried urban waste have been used. For this purpose 20 layers of information involved in the positioning buried in GIS environment prepared on the layer processing was done and then using AHP, weight through the matrix compared to a couple practices and by the two models of Boolean and fuzzy layers with The final compilation and analysis carried out and appropriate areas of extraction and analysis has been selected points. Study results show that the selected points from a place of highest priority are to bury. Two points due to lack of appropriate follow rock, high groundwater levels, high erodability for burial have not been a priority. Finally ¬ selected location compared with the current location and then determine the appropriate place in the city Shooshtar is presented and management strategies. Manuscript profile
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  2 - Investigation and Potential of Landslide Risk Using Fuzzy Logic Model in Kahman Basin Lorestan Province
  dariush abolfathi sayyad asghari saraskanroud Ehsan Ghale
  Landslides as one of the natural hazards can cause a lot of damage every year. Kahman catchment with potential mountainous features and different natural conditions has potential landslide potential. The purpose of this study was to investigate landslide hazard using fu More

  Landslides as one of the natural hazards can cause a lot of damage every year. Kahman catchment with potential mountainous features and different natural conditions has potential landslide potential. The purpose of this study was to investigate landslide hazard using fuzzy logic model in Kahman basin of Lorestan province. In this study, first, effective parameters on landslide occurrence were extracted and then the relevant layers were prepared. Then the landslide distribution map of the basin occurred. Then, by integrating the landslide map with the landslide distribution map, the effect of each of the slope factors, slope direction, lithology, precipitation, land use, distance from fault and waterway were calculated in ArcGIS software environment. In this study, fuzzy logic model with fuzzy community operator, fuzzy sharing operator, fuzzy algebraic multiplier operator, fuzzy algebraic sum operator, and fuzzy gamma operator were applied. Based on zoning using gamma-fuzzy operator, 64.37, 7.45, 8.93, 12.49 and 6.76 percent of the area were classified as very low, low, medium, high and very high risk classes has taken. Manuscript profile
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  3 - Design and Explain Stock Market Liquidity Model of Product Market Competition Based on Adaptive Econometric Model and Fuzzy Logic Approach
  hassan Heydari Sultan Abadi hossein panahian
  One of the risks associated with a company's stock is liquidity. Stock with high liquidity are attractive to shareholders and investors and increase demand. Stock liquidity is one of the most effective measures of market efficiency, especially in terms of information an More

  One of the risks associated with a company's stock is liquidity. Stock with high liquidity are attractive to shareholders and investors and increase demand. Stock liquidity is one of the most effective measures of market efficiency, especially in terms of information and is widely used in examining the factors affecting the supply of useful information. in this study, we designed and explained the stock liquidity model with respect to the product competition component. To select the sample, all companies listed in Tehran Stock Exchange from 2007 to 2019 are surveyed. not eligible were removed. Ten main variables affecting liquidity based on previous research were entered into the research model and the hypotheses were tested using regression model. Then, stock liquidity model was introduced through teaching and learning in Fuzzy neural network, which is an analytical-mathematical research method. The prediction obtained from fuzzy neural network is very accurate due to the comprehensive search method and the final model is confirmed with adjusted coefficient of determination of 77%. According to the results, liquidity depends on five influential factors including stock return, firm size, investment opportunity, Herfindahl Hirschman index and Lerner index Manuscript profile