Spatial Analysis and Fuzzy Relation Equations | Zendy

Ferdinando Di Martino | Zendy; Salvatore Sessa | Zendy

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Spatial Analysis and Fuzzy Relation Equations

Author(s) -

Ferdinando Di Martino,

Salvatore Sessa

Publication year - 2011

Publication title -

advances in fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.38

H-Index - 19

eISSN - 1687-711X

pISSN - 1687-7101

DOI - 10.1155/2011/429498

Subject(s) - relation (database) , fuzzy logic , reliability (semiconductor) , homogeneous , spatial analysis , computer science , geographic information system , data mining , spatial relation , statistics , fuzzy set , mathematics , algorithm , artificial intelligence , geography , cartography , combinatorics , physics , power (physics) , quantum mechanics

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

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