AIMC Topic: Fuzzy Logic

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Healthcare Facilities Redesign Using Multicriteria Decision-Making: Fuzzy TOPSIS and Graph Heuristic Theories.

Journal of healthcare engineering
BACKGROUND: Healthcare facilities are crucial assets that are necessary to be updated and evaluated regularly. One of the most pressing issues today is the renovation of healthcare facilities to match international standards. In large projects involv...

Evaluate teaching quality of physical education using a hybrid multi-criteria decision-making framework.

PloS one
The teaching quality evaluation of physical education is an important measure to promote the professional development of physical teachers, improve the quality of school teaching and personnel training. It is helpful for students to achieve all-round...

Multi-attribute decision-making method based on q-rung orthopair probabilistic hesitant fuzzy schweizer-sklar power weighted hamy mean operator.

PloS one
In order to further improve the computing power of the information aggregation operator in the q-rung orthopair probabilistic hesitant fuzzy environment, this paper proposes a multi-attribute decision-making method based on the q-rung orthopair proba...

Multivalued neutrosophic power partitioned Hamy mean operators and their application in MAGDM.

PloS one
The novel multivalued neutrosophic aggregation operators are proposed in this paper to handle the complicated decision-making situations with correlation between specific information and partitioned parameters at the same time, which are based on wei...

Adaptive fuzzy control of drug delivery in cancer treatment using combination of chemotherapy and antiangiogenic therapy.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
This paper introduces the adaptive fuzzy control scheme as a promising control technique for cancer treatment from a theoretical point of view. A mathematical model describing the dynamics of tumor growth under the drug interventions of chemotherapy ...

Decision support system to classify the vulnerability of broiler production system to heat stress based on fuzzy logic.

International journal of biometeorology
In this study, we develop an artificial intelligence model to predict the vulnerability of broiler production systems (broilers and facilities) to heat conditions using a fuzzy model approach. The model was designed with a multiple-input and a single...

Model of the Performance Based on Artificial Intelligence-Fuzzy Logic Description of Physical Activity.

Sensors (Basel, Switzerland)
The aim of the study was to build a fuzzy model of lower limb peak torque in an isokinetic mode. The study involved 93 male participants (28 male deaf soccer players, 19 hearing soccer players and 46 deaf untraining male). A fuzzy computational model...

An approach to [Formula: see text]-single-valued neutrosophic submodules.

Scientific reports
Dealing with erroneous, unexpected, susceptible, flawed, vulnerable, and intricate information is simplified with the use of a single-valued neutrosophic set (svns). This is because of the fact that these types of information are more sensitive to er...

A Robust Control via a Fuzzy System with PID for the ROV.

Sensors (Basel, Switzerland)
Uncertainty and nonlinearity in the depth control of remotely operated vehicles (ROVs) have been widely studied, especially in complex underwater environments. To improve the motion performance of ROVs and enhance their robustness, the model of ROV d...

Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data.

Scientific reports
Interpretable machine learning models for gene expression datasets are important for understanding the decision-making process of a classifier and gaining insights on the underlying molecular processes of genetic conditions. Interpretable models can ...