List of Articles Fuzzy Cellular Automata

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  1 - Urban expansion and physical development simulation using fuzzy cellular automata (FCA).Case Study: Ahwaz City
  Saaid zangane shahrAki Morteza omidi Pour yousef tazesh ateena moenmehr
  This study is proposed a model of urban expansion based on cellular automata principles and fuzzy logic approach. The most effective indicators were first selected using the DEMATEL method. The weight of each indicator was then obtained with the help of the prepared str More

  This study is proposed a model of urban expansion based on cellular automata principles and fuzzy logic approach. The most effective indicators were first selected using the DEMATEL method. The weight of each indicator was then obtained with the help of the prepared structure using the Analytic Network Process (ANP). Three satellite images of 2003, 2007, and 2013 were used to simulate urban growth of Ahvaz in the year 2020. The selected base year was 2003. After performing preprocessing operations, the images were classified using the maximum likelihood method. The combination of fuzzy logic and the classic cellular automata model was made operational by defining the transition rules using the degrees of fuzzy membership. The Kappa index was employed in two stages to study accuracy of the images. The images of the base year were first classified and their accuracy was examined, and the accuracy of the simulated images with respect to reality was also investigated for the year 2007 and then simulation of the images of the other years was performed. Since the degree of accuracy of the model was considered acceptable, the linear regression model and the matrix of transition probabilities were employed for simulation in 2020. Results indicated the model enjoyed acceptable accuracy. It also yielded more realistic results in urban simulations compared to the classic CA method. Moreover, and growth and development of Ahvaz in different periods did not take place in any specific direction but rather was completely irregular and occurred in all directions. Manuscript profile
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  2 - Predicting the growth and development of Bandar-e-Gaz Town Using Fuzzy Cellular Automata (FCA)
  دنیائی Donyaii
  automated cell-based models (CAs) are defined based on two-value logic and in a non-flexible manner. Combining fuzzy logic with the classical cellular automata model makes it possible to model the uncertainty governing the urban development simulation process by definin More

  automated cell-based models (CAs) are defined based on two-value logic and in a non-flexible manner. Combining fuzzy logic with the classical cellular automata model makes it possible to model the uncertainty governing the urban development simulation process by defining the transition rules using the degrees of fuzzy membership. This study presented the model of urban expansion based on the fuzzy cellular automata. The most effective indicators were first selected using the DEMATEL method. The weight of each indicator was then obtained using the Analytic Network Process (ANP). Three satellite images from 2012, 2014 and 2019 were used to simulate urban development in the study area (Bandar-e-Gaz Town) for the year 2100.After preprocessing; the images were classified for all three periods by the maximum likelihood method. The Kappa index was used to check the accuracy of the maps in two steps. The images of the base year were first classified and their accuracy was examined, and then the simulation of the images of the other years was performed and their accuracy again was examined. Since the degree of accuracy of the model was considered acceptable, the linear regression model and matrix of transition probabilities were used for simulation. The results of this study showed that the proposed model is acceptable so that it works better in urban simulation than the classical model of CA. Also, the growth and development of Bandar-e-Gaz town in different periods has been more in the eastern and western parts. Manuscript profile
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  3 - Removing High Density Impulse Noise Via a Novel Two Phase Method Using Fuzzy Cellular Automata
  Mohammad Mehdi Piroozmandan Fardad Farokhi Kaveh Kangarloo
  10.30495/ijsee.2021.684018
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