Evaluation of Indexing Overlay, Fuzzy Logic and Genetic Algorithm Methods for Industrial 
Estates Site Selection in GIS Environment 
Hamid Ebadi, Roozbeh Shad, Mohamad Javad Valadanzoej,Alireza Vafaeinezhad 
Faculty of Geodesy and Geomatics Eng. K.N.Toosi University of Technology 
No 1346, Mirdamad cross, Valiasr st., Tehran, IRAN 
Tell: (21) 877 0218 
Fax: (21) 878 6213 
1-Assistant professor, Email: ebadi@kntu.ac.ir 
2-Graduate student, Email: Rouzbeh_Shad@yahoo.com 
3-Assistant professor, Email: valadanzouj@kntu.ac.ir 
4-Graduate student, Email: Arvafaei@Noavar.com 
Commission V,WG V/2 
KEY WORDS: GIS, Site Selection, Model, Indexing, Fuzzy, Genetic 
ABSTRACT: 
One of the main parameters which is helpful for industrial development in each country is land use mapping. With respect to land 
use mapping and industrial development strategies, managers as decision-makers can organize the best location for industrial estates 
manufacturing. There are enormous data volume and complex criteria for the site selection of industrial plants that cause much more 
difficulty for decision making. Accordingly, by the use of GIS as information technology and its analytical capability for decision 
making optimization, we can overcome these difficulties. GIS analytical functions can answer “What is the optimum solution?” with 
respect to the GIS users’ requirements. Overlay is one of the spatial functions that can combine spatial data layers from diverse 
resources for the site selection applications using integration models. Integration models, based on their implementation methods, 
are divided in some groups (for example: Boolean operation, Indexing overlay, Fuzzy logic, Genetic algorithm, Weight of evidence, 
etc.). In this case study, at first, we selected a study area that was convenient for our purpose which was located at the north-west of 
Iran. Then, effective parameters and criteria were defined for industrial estate site location and corresponsive data layers. Finally, we 
classified and prepared data layers with respect to main criteria and parameters. By checking the executive routines for different 
kinds of integration models, we evaluated results of Indexing overlay, Fuzzy logic and Genetic algorithm methods that could be 
implemented in GIS environment based on the processing time and spatial accuracy which presented some interested models for 
industrial estate site location. 
1 INTRODUCTION 
2 SITE SELECTION 
Nowadays, in each country economic and sustainable 
development are related to industry and mine capacity and type Site selection is locating convenient sites with introducing 
of used technology. Industry and mine development with efficient criteria and factors using some integration models. 
optimum concentration are caused more facilities on the social 
lifeway. Since the beginning of twentieth century, industrial 2.1 Criteria and Factors 
constructions in forms of industrial zone, region and estate have 
been considered for countries industrial development 
(Poladdezh, 1997). To achieve this purpose, it is necessary for 
each country attending to land use mapping problems and work 
force distributions and locating convenient sites for industrial 
constructions. This subject depends on some factors such as 
population, employment, land use, environment, etc. 
Using GIS as an information technology and efficient spatial 
decision making tool, industrial estates factors managing and 
analysing will be done better. In this paper, we will try to find 
optimum solution for industrial estates site selection and 
applying solution in GIS . 
There are some effective parameters and conditions that 
influence on the site location for special application. These 
parameters are extracted of collected spatial data layers in study 
area and prepared for entering to integrated models using some 
data processing methods (Bonham Carter and G.F., 1991). 
2.2 Data Processing Methods 
Data Processing consists of some operational activities that are 
performed on unprocessed raw data for entering GIS analytical 
     
  
   
    
  
   
   
  
   
   
  
   
  
   
   
   
   
   
  
   
   
    
   
   
  
  
  
  
  
  
  
  
  
   
   
  
  
   
  
   
   
  
   
   
  
   
  
   
  
   
  
   
       
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