NDLI: Interpretable fuzzy modeling using multi-objective immune-inspired optimization algorithms

Content Provider	IEEE Xplore Digital Library
Author	Jun Chen Mahfouf, M.
Copyright Year	2010
Description	Author affiliation: Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, S1 3JD, UK (Jun Chen; Mahfouf, M.)
Abstract	In this paper, an immune inspired multi-objective fuzzy modeling (IMOFM) mechanism is proposed specifically for high-dimensional regression problems. For such problems, high predictive accuracy is often the paramount requirement. With such a requirement in mind, however, one should also put considerable efforts in making the elicited model as interpretable as possible, which leads to a difficult optimization problem. The proposed modeling approach adopts a multistage modeling procedure and a variable length coding scheme to account for the enlarged search space due to the simultaneous optimization of the rule-base structure and its associated parameters. IMOFM can account for both Singleton and Mamdani Fuzzy Rule-Based Systems (FRBS) due to the carefully chosen output membership functions, the inference and the defuzzification methods. The proposed algorithm has been compared with other representatives using a simple benchmark problem, and has also been applied to a high-dimensional problem which models mechanical properties of hot rolled steels. Results confirm that IMOFM can elicit accurate and yet transparent FRBSs from quantitative data.
Starting Page	1
Ending Page	8
File Size	240474
Page Count	8
File Format	PDF
ISBN	9781424469192
ISSN	10987584
e-ISBN	9781424469215
DOI	10.1109/FUZZY.2010.5584902
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Indexes Optimization Knowledge based systems Encoding
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Theoretical Computer Science Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-objective optimisation for fuzzy modelling using interval type-2 fuzzy sets

On the optimization of fuzzy systems using bio-inspired strategies

A New Fuzzy Systems Design and Optimization Approach Using Genetic Algorithms

A multi-objective approach to design of interval type-2 fuzzy logic systems

A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems

Fuzzy modeling based on premise optimization

Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation

A resolution procedure based on a fuzzy logic

Multi-objective genetic local search for minimizing the number of fuzzy rules for pattern classification problems

Interpretable fuzzy modeling using multi-objective immune-inspired optimization algorithms

Similar Documents

Multi-objective optimisation for fuzzy modelling using interval type-2 fuzzy sets

On the optimization of fuzzy systems using bio-inspired strategies

A New Fuzzy Systems Design and Optimization Approach Using Genetic Algorithms

A multi-objective approach to design of interval type-2 fuzzy logic systems

A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems

Fuzzy modeling based on premise optimization

Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation

A resolution procedure based on a fuzzy logic

Multi-objective genetic local search for minimizing the number of fuzzy rules for pattern classification problems

Interpretable fuzzy modeling using multi-objective immune-inspired optimization algorithms