Spatial Analysis and Fuzzy Relation Equations
Joint Authors
Sessa, Salvatore
Di Martino, Ferdinando
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-15
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Di Martino, Ferdinando& Sessa, Salvatore. 2011. Spatial Analysis and Fuzzy Relation Equations. Advances in Fuzzy Systems،Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-471590
Modern Language Association (MLA)
Di Martino, Ferdinando& Sessa, Salvatore. Spatial Analysis and Fuzzy Relation Equations. Advances in Fuzzy Systems No. 2011 (2011), pp.1-14.
https://search.emarefa.net/detail/BIM-471590
American Medical Association (AMA)
Di Martino, Ferdinando& Sessa, Salvatore. Spatial Analysis and Fuzzy Relation Equations. Advances in Fuzzy Systems. 2011. Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-471590
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471590
