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
This issue has been dedicated to the usage of fuzzy logic in the context of Geographical Information...
Relational composition-based reasoning has become the most prevalent method for qualitative reasonin...
The purpose of the paper is to explore the use of fuzzy logic techniques in spatial analysis. The fo...
We implement an algorithm that uses a system of fuzzy relation equations (SFRE) with the max-min com...
We implement an algorithm that uses a System of Fuzzy Relation Equations (SFRE) with the max-min com...
We implement an algorithm that uses a system of max-min fuzzy relation equations (SFRE) for solving...
In the context of the fuzzy logic we use a system of max-min fuzzy relation equations to solve a pro...
Several fuzzy decision models are proposed in literature to solve urban planning problems. In this r...
We present a new approach based on fuzzy transforms and fuzzy relations for analyzing and forecast...
Spatial relations play important role in computer vision, scene analysis, geographic information sys...
A period of fifty years has been reached since the introduction of the first applications based upon...
[[abstract]]The max-min composition of fuzzy relation equation takes the extreme value as the soluti...
We use fuzzy logic for proposing a classification model which divides a geographic map into isorelia...
People usually use qualitative terms to express spatial relations, while current geographic informat...
Various intelligent systems rely heavily on for malisms for spatial representation and reasoning. Ho...
This issue has been dedicated to the usage of fuzzy logic in the context of Geographical Information...
Relational composition-based reasoning has become the most prevalent method for qualitative reasonin...
The purpose of the paper is to explore the use of fuzzy logic techniques in spatial analysis. The fo...
We implement an algorithm that uses a system of fuzzy relation equations (SFRE) with the max-min com...
We implement an algorithm that uses a System of Fuzzy Relation Equations (SFRE) with the max-min com...
We implement an algorithm that uses a system of max-min fuzzy relation equations (SFRE) for solving...
In the context of the fuzzy logic we use a system of max-min fuzzy relation equations to solve a pro...
Several fuzzy decision models are proposed in literature to solve urban planning problems. In this r...
We present a new approach based on fuzzy transforms and fuzzy relations for analyzing and forecast...
Spatial relations play important role in computer vision, scene analysis, geographic information sys...
A period of fifty years has been reached since the introduction of the first applications based upon...
[[abstract]]The max-min composition of fuzzy relation equation takes the extreme value as the soluti...
We use fuzzy logic for proposing a classification model which divides a geographic map into isorelia...
People usually use qualitative terms to express spatial relations, while current geographic informat...
Various intelligent systems rely heavily on for malisms for spatial representation and reasoning. Ho...
This issue has been dedicated to the usage of fuzzy logic in the context of Geographical Information...
Relational composition-based reasoning has become the most prevalent method for qualitative reasonin...
The purpose of the paper is to explore the use of fuzzy logic techniques in spatial analysis. The fo...