Fuzzy multiple criteria decision-making techniques and applications–Two decades review from 1994 to 2014

A Mardani, A Jusoh, EK Zavadskas - Expert systems with Applications, 2015 - Elsevier
MCDM is considered as a complex decision-making tool involving both quantitative and
qualitative factors. In recent years, several fuzzy FMCDM tools have been suggested to …

Application of decision making and fuzzy sets theory to evaluate the healthcare and medical problems: a review of three decades of research with recent …

A Mardani, RE Hooker, S Ozkul, S Yifan… - Expert Systems with …, 2019 - Elsevier
Decision making techniques have been widely used in healthcare and medical industry.
This study systematically reviews the conventional and fuzzy decision-making techniques …

Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps

TDC Frazão, DGG Camilo, ELS Cabral… - BMC medical informatics …, 2018 - Springer
Background The health area is one of the most affected systems on the perspective of
decision-making with multiobjectives, thus becoming prone to errors in the final solution …

An application of nonlinear fuzzy analytic hierarchy process in safety evaluation of coal mine

Q Wang, H Wang, Z Qi - Safety science, 2016 - Elsevier
Thousands of mining accidents occur each year, especially in develo** countries like
China. To guarantee the safety and health of workers and reduce the probability of …

The application of cloud model combined with nonlinear fuzzy analytic hierarchy process for the safety assessment of chemical plant production process

Q Song, P Jiang, S Zheng - Process Safety and Environmental Protection, 2021 - Elsevier
According to statistics, majority of chemical accidents were caused by human factors during
the production and storage of chemicals. From the perspective of human factors, a safety …

Antecedents of social sustainability noncompliance in the Indian apparel sector

VG Venkatesh, A Zhang, E Deakins, V Mani - International Journal of …, 2021 - Elsevier
Consumers expect global apparel suppliers to adhere to strict social sustainability standards
following several deadly noncompliance incidents. This study provides a unique contribution …

Role of AI techniques and deep learning in analyzing the critical health conditions

S Srivastava, M Pant, R Agarwal - International Journal of System …, 2020 - Springer
The role of a healthcare practitioner is to diagnose a disease and find an optimum means for
suitable treatment. This has been the most challenging task over the years. The researchers …

Clinical decision support system for liver fibrosis prediction in hepatitis patients: A case comparison of two soft computing techniques

S El-Sappagh, F Ali, A Ali, A Hendawi, FA Badria… - IEEE …, 2018 - ieeexplore.ieee.org
Diagnosis of deadly diseases, such as liver fibrosis, is very important. Clinical decision
support systems (CDSSs) based on patient's historical medical data and accurate AI …

[HTML][HTML] Using fuzzy logic approach to predict work-related musculoskeletal disorders among automotive assembly workers

M Falahati, F Dehghani, M Malakoutikhah… - Medical journal of the …, 2019 - ncbi.nlm.nih.gov
Background: Musculoskeletal disorders (MSDs) are considered an important health
concern, particularly in automotive assembly industries. Evaluation of the effects of all MSDs …

Fuzzy logic modelling of risk variables influencing musculoskeletal disorders in carpet industry: A cross-sectional study

H Gada, S Parvez, B Ahmad - Journal of Chiropractic Medicine, 2024 - Elsevier
Objective The purpose of this study was to develop a fuzzy prediction model that could help
in determining the musculoskeletal risk involved in the occupation of hand-made carpet …