A practical review and taxonomy of fuzzy expert systems: methods and applications

M Tavana, V Hajipour - Benchmarking: An International Journal, 2020 - emerald.com
Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …

Integration of green lean approach with six sigma: an application for flue gas emissions

M Sagnak, Y Kazancoglu - Journal of Cleaner Production, 2016 - Elsevier
Environmental considerations have led organizations to take an important role in designing
environmentally-friendly, recyclable products to complement improvements in the …

Gage R&R studies in measurement system analysis: A systematic literature review

WOS Soares, RS Peruchi, RAV Silva… - Quality …, 2022 - Taylor & Francis
Statistical process control is directly affected by the quality of measurements; therefore,
acceptance of a measurement system is a pivotal issue. A gage repeatability and …

Group fuzzy comprehensive evaluation method under ignorance

YW Du, SS Wang, YM Wang - Expert systems with applications, 2019 - Elsevier
This paper aims at solving such a group fuzzy comprehensive evaluation (FCE) problem that
the global or local ignorance may exist in judgments made by experts and the importance …

Risk-based test case prioritization using a fuzzy expert system

C Hettiarachchi, H Do, B Choi - Information and Software Technology, 2016 - Elsevier
Context: The use of system requirements and their risks enables software testers to identify
more important test cases that can reveal the faults associated with system components …

An implementation of measurement system analysis for assessment of machine and part variations in turning operation

C Saikaew - Measurement, 2018 - Elsevier
Measurement system analysis (MSA) is a useful quality tool used for assessing the
adequacy of gauge variation in order to ensure the quality of the measurement system and …

Combining Scott-Knott and GR&R methods to identify special causes of variation

RBD Pereira, RS Peruchi, AP de Paiva, SC da Costa… - Measurement, 2016 - Elsevier
Measurement error is an unavoidable source of variation in any decision-making process
based on experimental research. Components of variation due to measurement system and …

Evaluating the measurement capability of a wheel profile measurement system by using GR&R

M Asplund, J Lin - Measurement, 2016 - Elsevier
Reliable data with less variation play a key role for acceptance of the usefulness of the
measurement output of a wheel profile measurement system (WPMS) in a railway network …

FLAS: Fuzzy lung allocation system for US-based transplantations

L Al-Ebbini, A Oztekin, Y Chen - European Journal of Operational Research, 2016 - Elsevier
This paper presents a fuzzy lung allocation system (FLAS) in order to determine which
potential recipients would receive a lung for transplantation when it becomes available in …

New indicators for measurement error detection in GR&R studies

LMM Araújo, RGN Paiva, RS Peruchi, PR Junior… - Measurement, 2019 - Elsevier
Measurement system analysis has a pivotal role in assessing the measuring error when
conducting empirical studies. Gage Repeatability and Reproducibility (GR&R) studies are …