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Fuzzy FMEA with a guided rules reduction system for prioritization of failures

The International journal of quality & reliability management, 2006-10, Vol.23 (8), p.1047-1066

2006

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A Fuzzy Adaptive Resonance Theory‐Based Model for Mix Proportion Estimation of High‐Performance Concrete

Computer-aided civil and infrastructure engineering, 2017-09, Vol.32 (9), p.772-786

2017

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Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System

IEEE transactions on fuzzy systems, 2022-05, Vol.30 (5), p.1248-1259

2022

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On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework

IEEE transactions on fuzzy systems, 2018-12, Vol.26 (6), p.3860-3874

2018

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Monotone Interval Fuzzy Inference Systems

IEEE transactions on fuzzy systems, 2019-11, Vol.27 (11), p.2255-2264

2019

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Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System

IEEE transactions on fuzzy systems, 2016-12, Vol.24 (6), p.1455-1463

2016

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Application of self-organizing map to failure modes and effects analysis methodology

Neurocomputing (Amsterdam), 2017-08, Vol.249, p.314-320

2017

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Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function

IEEE transactions on fuzzy systems, 2021-07, Vol.29 (7), p.1864-1873

2021

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A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming

Applied soft computing, 2016-12, Vol.49, p.734-747

2016

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A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis

IEEE transactions on reliability, 2015-09, Vol.64 (3), p.869-877

2015

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An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis

IEEE systems journal, 2017-09, Vol.11 (3), p.1589-1600

2017

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Application of the fuzzy Failure Mode and Effect Analysis methodology to edible bird nest processing

Computers and electronics in agriculture, 2013-08, Vol.96, p.90-108

2013

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Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives

IEEE access, 2018, Vol.6, p.74628-74647

2018

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Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions

2023 IEEE International Conference on Fuzzy Systems (FUZZ), 2023, p.1-6

2023

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A New Monotone Fuzzy Rule Relabeling Framework with Application to Failure Mode and Effect Analysis Methodology

IEEE access, 2020-01, Vol.8, p.1-1

2020

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On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test

International journal of fuzzy systems, 2018-08, Vol.20 (6), p.1915-1924

2018

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Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017, p.1-7

2017

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On the Monotonicity of Fuzzy Inference Models

Journal of advanced computational intelligence and intelligent informatics, 2012-07, Vol.16 (5), p.592-602

2012

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Data-driven SIRMs-connected FIS for prediction of external tendon stress

Computers and Concrete, 2015-01, Vol.15 (1), p.55-71

2015

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A new method to rank fuzzy numbers using Dempster–Shafer theory with fuzzy targets

Information sciences, 2016-06, Vol.346-347, p.302-317

2016

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Clustering and visualization of failure modes using an evolving tree

Expert systems with applications, 2015-11, Vol.42 (20), p.7235-7244

2015

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A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry

Neural computing & applications, 2015-04, Vol.26 (3), p.551-560

2015

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A fuzzy inference system-based criterion-referenced assessment model

Expert systems with applications, 2011-09, Vol.38 (9), p.11129-11136

2011

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A new fuzzy peer assessment methodology for cooperative learning of students

Applied soft computing, 2015-07, Vol.32, p.468-480

2015

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A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization

Neural processing letters, 2017-10, Vol.46 (2), p.379-409

2017

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Fuzzy FMEA with a guided rules reduction system for prioritization of failures

A Fuzzy Adaptive Resonance Theory‐Based Model for Mix Proportion Estimation of High‐Performance Concrete

Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System

On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework

Monotone Interval Fuzzy Inference Systems

Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System

Application of self-organizing map to failure modes and effects analysis methodology

Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function

A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming

A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis

An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis

Application of the fuzzy Failure Mode and Effect Analysis methodology to edible bird nest processing

Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives

Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions

A New Monotone Fuzzy Rule Relabeling Framework with Application to Failure Mode and Effect Analysis Methodology

On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test

Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods

On the Monotonicity of Fuzzy Inference Models

Data-driven SIRMs-connected FIS for prediction of external tendon stress

A new method to rank fuzzy numbers using Dempster–Shafer theory with fuzzy targets

Clustering and visualization of failure modes using an evolving tree

A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry

A fuzzy inference system-based criterion-referenced assessment model

A new fuzzy peer assessment methodology for cooperative learning of students

A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization

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