A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System
Joint Authors
Sessa, Salvatore
Di Martino, Ferdinando
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-12
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Di Martino, Ferdinando& Sessa, Salvatore. 2018. A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System. Advances in Fuzzy Systems،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-986281
Modern Language Association (MLA)
Di Martino, Ferdinando& Sessa, Salvatore. A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System. Advances in Fuzzy Systems No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-986281
American Medical Association (AMA)
Di Martino, Ferdinando& Sessa, Salvatore. A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System. Advances in Fuzzy Systems. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-986281
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-986281
