Spatial analysis and fuzzy relation equations

16Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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. Copyright © 2011 Ferdinando Di Martino and Salvatore Sessa.

Cite

CITATION STYLE

APA

Di Martino, F., & Sessa, S. (2011). Spatial analysis and fuzzy relation equations. Advances in Fuzzy Systems. https://doi.org/10.1155/2011/429498

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free