Spatial Analysis with a Tool GIS via Systems of Fuzzy Relation Equations

2011 ◽  
pp. 15-30 ◽  
Author(s):  
Ferdinando Di Martino ◽  
Salvatore Sessa
Keyword(s):  
Spatial Analysis ◽  
Fuzzy Relation ◽  
Fuzzy Relation Equations

scholarly journals Spatial Analysis and Fuzzy Relation Equations

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Ferdinando Di Martino ◽  
Salvatore Sessa
Keyword(s):  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Geographical Area ◽  
Fuzzy Relation ◽  
Geographical Information ◽  
Fuzzy Relation Equations ◽  
The Impact

We implement an algorithm that uses a system of fuzzy relation equations (SFRE) with the max-min composition for solving a problem of spatial analysis. We integrate this algorithm in a Geographical Information System (GIS) tool, and the geographical area under study is divided in homogeneous subzones (with respect to the parameters involved) to which we apply our process to determine the symptoms after that an expert sets the SFRE with the values of the impact coefficients. We find that the best solutions and the related results are associated to each subzone. Among others, we define an index to evaluate the reliability of the results.

Fuzzy relation equations theory as a basis of fuzzy modelling: An overview

1991 ◽  
Vol 40 (3) ◽  
pp. 415-429 ◽  
Author(s):  
A. Di Nola ◽  
W. Pedrycz ◽  
S. Sessa ◽  
E. Sanchez
Keyword(s):  
Fuzzy Relation ◽  
Fuzzy Modelling ◽  
Fuzzy Relation Equations

scholarly journals Fuzzy relation equations and reduction of fuzzy automata

2010 ◽  
Vol 76 (7) ◽  
pp. 609-633 ◽  
Author(s):  
Miroslav Ćirić ◽  
Aleksandar Stamenković ◽  
Jelena Ignjatović ◽  
Tatjana Petković
Keyword(s):  
Fuzzy Relation ◽  
Fuzzy Relation Equations ◽  
Fuzzy Automata

scholarly journals Solution of Fuzzy Relation Equations Using Composite Operators

2001 ◽  
Vol 121 (4) ◽  
pp. 756-761
Author(s):  
Miyagi Hayao ◽  
Fan Yiping ◽  
Yamashita Katsumi
Keyword(s):  
Fuzzy Relation ◽  
Fuzzy Relation Equations
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