A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System

We propose a new Mamdani fuzzy rule-based system in which the fuzzy sets in the antecedents and consequents are assigned in a discrete set of points and approximated by using the extended inverse fuzzy transforms, whose components are calculated by verifying that the dataset is sufficiently dense wi...

Full description

Saved in:
Bibliographic Details
Main Authors: Ferdinando Di Martino, Salvatore Sessa
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2018/8458916
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849308555136466944
author Ferdinando Di Martino
Salvatore Sessa
author_facet Ferdinando Di Martino
Salvatore Sessa
author_sort Ferdinando Di Martino
collection DOAJ
description We propose a new Mamdani fuzzy rule-based system in which the fuzzy sets in the antecedents and consequents are assigned in a discrete set of points and approximated by using the extended inverse fuzzy transforms, whose components are calculated by verifying that the dataset is sufficiently dense with respect to the uniform fuzzy partition. We test our system in the problem of spatial analysis consisting in the evaluation of the livability of residential housings in all the municipalities of the district of Naples (Italy). Comparisons are done with the results obtained by using trapezoidal fuzzy numbers in the fuzzy rules.
format Article
id doaj-art-028ae4e2b8d745e0a8707e46f04252d2
institution Kabale University
issn 1687-7101
1687-711X
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Advances in Fuzzy Systems
spelling doaj-art-028ae4e2b8d745e0a8707e46f04252d22025-08-20T03:54:25ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2018-01-01201810.1155/2018/84589168458916A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based SystemFerdinando Di Martino0Salvatore Sessa1Università degli Studi di Napoli Federico II, Dipartimento di Architettura, Via Toledo 402, 80134 Napoli, ItalyUniversità degli Studi di Napoli Federico II, Dipartimento di Architettura, Via Toledo 402, 80134 Napoli, ItalyWe propose a new Mamdani fuzzy rule-based system in which the fuzzy sets in the antecedents and consequents are assigned in a discrete set of points and approximated by using the extended inverse fuzzy transforms, whose components are calculated by verifying that the dataset is sufficiently dense with respect to the uniform fuzzy partition. We test our system in the problem of spatial analysis consisting in the evaluation of the livability of residential housings in all the municipalities of the district of Naples (Italy). Comparisons are done with the results obtained by using trapezoidal fuzzy numbers in the fuzzy rules.http://dx.doi.org/10.1155/2018/8458916
spellingShingle Ferdinando Di Martino
Salvatore Sessa
A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System
Advances in Fuzzy Systems
title A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System
title_full A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System
title_fullStr A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System
title_full_unstemmed A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System
title_short A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System
title_sort method based on extended fuzzy transforms to approximate fuzzy numbers in mamdani fuzzy rule based system
url http://dx.doi.org/10.1155/2018/8458916
work_keys_str_mv AT ferdinandodimartino amethodbasedonextendedfuzzytransformstoapproximatefuzzynumbersinmamdanifuzzyrulebasedsystem
AT salvatoresessa amethodbasedonextendedfuzzytransformstoapproximatefuzzynumbersinmamdanifuzzyrulebasedsystem
AT ferdinandodimartino methodbasedonextendedfuzzytransformstoapproximatefuzzynumbersinmamdanifuzzyrulebasedsystem
AT salvatoresessa methodbasedonextendedfuzzytransformstoapproximatefuzzynumbersinmamdanifuzzyrulebasedsystem