A New Framework With Similarity Reasoning and
Monotone Fuzzy Rule Relabeling for Fuzzy Inference
Systems

QR Code

A New Framework With Similarity Reasoning and Monotone Fuzzy Rule Relabeling for Fuzzy Inference Systems

A complete and monotonically-ordered fuzzy rule base is necessary to maintain the monotonicity property of a Fuzzy Inference System (FIS). In this paper, a new monotone fuzzy rule relabeling technique to relabel a non-monotone fuzzy rule base provided by domain experts is proposed. Even though t...

Full description

Bibliographic Details
Main Authors:	Tay, Kai Meng, Liew, Meng Pang, Tze, Ling Jee
Format:	Article
Language:	English
Published:	IEEE 2013
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/16639/ http://ir.unimas.my/id/eprint/16639/1/A%20New%20Framework%20With%20Similarity%20Reasoning%20%28abstract%29.pdf

Similar Items

Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System
by: Tay, Kai Meng, et al.
Published: (2016)

A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems
by: Kai, Meng Tay, et al.
Published: (2012)

Building Fuzzy Inference Systems with Similarity Reasoning: NSGA II-based Fuzzy Rule Selection and Evidential Functions
by: Tze, Ling Jee, et al.
Published: (2014)

Building Monotonicity-Preserving Fuzzy Inference Models with Optimization-Based Similarity Reasoning and a Monotonicity Index
by: Kai, M.T, et al.
Published: (2012)

A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems
by: Kai, Meng Tay, et al.
Published: (2013)

Similarity reasoning-driven evolutionary fuzzy system for monotonic-preserving models
by: Jee, Tze Ling
Published: (2013)

An Evolutionary-Based Similarity Reasoning Scheme for Monotonic Multi-Input Fuzzy Inference Systems
by: Kai, M.T, et al.
Published: (2011)

The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications
by: Tay , Kai Meng
Published: (2011)

A new fuzzy criterion-referenced assessment with a fuzzy rule selection technique and a monotonicity-preserving similarity reasoning scheme
by: Jee, T.L, et al.
Published: (2013)

A New Monotonicity Index for Fuzzy Rule-based Systems
by: Lie, Meng Pang, et al.
Published: (2014)

Enhancing a Fuzzy Inference System-Based Criterion-referenced Assessment with an Analogical Reasoning Schema
by: Tze, Ling Jee, et al.
Published: (2012)

Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems
by: Kai, Meng Tay, et al.
Published: (2011)

On the monotonicity of fuzzy inference models
by: Seki, H., et al.
Published: (2012)

Monotonicity preserving SIRMs-connected fuzzy inference systems with a new monotonicity index: Learning and tuning
by: See, Hung Lau, et al.
Published: (2013)

Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules
by: Teh, Chin Ying, et al.
Published: (2017)

Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property
by: Chin, Ying Teh, et al.
Published: (2013)

Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test
by: Yi, Wen Kerk, et al.
Published: (2016)

On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models
by: Tay, Kai Mei, et al.
Published: (2009)

Monotone Data Samples Do Not Always Produce Monotone Fuzzy If- Then Rules: Learning with Ad hoc and System Identification Methods
by: Chin, Ying Teh, et al.
Published: (2017)

Enhancing fuzzy inference system-based criterion-referenced assessment with a similarity reasoning technique
by: Tze, L.J, et al.
Published: (2012)

Enhancing a Fuzzy Failure Mode and Effect Analysis methodology with an Analogical Reasoning Technique
by: Tze, Ling Jee, et al.
Published: (2011)

A New Fuzzy Ratio and Its Application to the Single Input Rule Modules Connected Fuzzy Inference System
by: Chian, Haur Jong, et al.
Published: (2014)

A fuzzy inference system-based criterion-referenced assessment model
by: Kai, Meng Tay, et al.
Published: (2011)

An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis
by: Tay, Kai Meng
Published: (2015)

On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties
by: Tay, Kai Meng, et al.
Published: (2008)

On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications
by: Tay, Kai Meng, et al.
Published: (2008)

A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis
by: Tze, Ling Jee, et al.
Published: (2015)

On fuzzy inference system based failure mode and effect analysis (FMEA) methodology
by: Tay, Kai Meng
Published: (2009)

A Monotonicity Index for the Monotone Fuzzy Modeling Problem
by: Kai, M.T, et al.
Published: (2012)

Fuzzy integral for rule aggregation in fuzzy inference systems
by: Tomlin, Leary, et al.
Published: (2016)

A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis
by: Tay, Kai Meng, et al.
Published: (2015)

Application of Fuzzy Inference System (FIS) To Criterion-Referenced Assessment with a Case Study
by: Tay, Kai Meng, et al.
Published: (2009)

Application of fuzzy inference system (FIS) to criterion-referenced assessment with a case study.
by: Kai, Meng Tay, et al.
Published: (2009)

On the Use of Fuzzy Inference systems for assessment and decision making problems
by: Tay, K.M, et al.
Published: (2010)

A similarity-based inference engine for non-singleton fuzzy logic systems
by: Wagner, Christian, et al.
Published: (2016)

The Mamdani fuzzy inference algorithm
by: Khan, Imran Moez, et al.
Published: (2011)

A New Interval-based Method for Handling Non-Monotonic Information
by: Yi, Wen Kerk, et al.
Published: (2014)

Single-Input-Rule-Modules connected fuzzy inference system and its applications to failure mode and effect analysis
by: Jong, Chian Haur
Published: (2015)

Development of Fuzzy Inference System for Automatic Tea Making
by: Ahamed, Nizam Uddin, et al.
Published: (2017)

Fuzzy-based NCTF controller for PTP positioning: fuzzy membership and rule based modifications
by: Purtojo, Purtojo, et al.
Published: (2011)