AIMC Topic: Fuzzy Logic

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Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators.

Scientific reports
The selection of suitable AI models to predict disability diseases stands as a vital multi-attribute decision-making (MADM) task within healthcare technology. The current selection methods fail to integrate the management of uncertainties with bipola...

Illuminating themes of ecovillages by leveraging participatory modeling: A convergent Gen-AI and Fuzzy Cognitive Maps approach.

Journal of environmental management
Ecovillages, as defined by the United Nations, are communities that focus primarily on aspects of sustainability. The research on ecovillages is vital, as it helps to uncover actionable artefacts of sustainable practices. However, much of the extant ...

Fuzzy quantum machine learning (FQML) logic for optimized disease prediction.

Computers in biology and medicine
Quantum computing, based on quantum mechanics, has evolved due to the cross-pollination of concepts, methods, and strategies. The fusion of quantum computing with machine learning (ML) algorithms has shown satisfactory results in the case of low dime...

NFR-EDL: Non-linear fuzzy rank-based ensemble deep learning for accurate diagnosis of oral and dental diseases using RGB color photography.

Computers in biology and medicine
BACKGROUND: Oral health plays a vital role in our daily lives, affecting essential activities like eating, speaking, and smiling. Poor oral health can lead to significant social, psychological, and physical consequences, which makes early and accurat...

Fuzzy-DDI: A robust fuzzy logic query model for complex drug-drug interaction prediction.

Artificial intelligence in medicine
Drug-drug interactions (DDI) refer to the compound effects that occur when patients take multiple drugs simultaneously, which may reduce the drug efficacy and even harm the patient's health. Therefore, DDI prediction is significant for drug developme...

Dynamic Locomotion Synchronization and Fuzzy Control of a Lower Limb Exoskeleton With Body Weight Support for Active Following Human Operator.

IEEE transactions on cybernetics
Despite remarkable progress in robotic exoskeletons, exoskeletons are still far from matching human-level guidance and locomotion performance in gait training or movement enhancement. A desirable exoskeleton would first provide a standard gait profil...

Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services.

Scientific reports
Cardiovascular disease (CVD) is one of the severe disorders that requires effectual solutions. CVD mainly affects heart functionality in the human body. The impacts of heart disorders are hazardous, which primarily spread from arrhythmia and higher h...

The integrated fuzzy AHP and fuzzy logic techniques for mapping and prioritizing groundwater potential zone based on water quality.

Environmental monitoring and assessment
Groundwater, which is utilized to supply water demand in various sectors such as domestic water consumption, agriculture, and industry, could be achieved by delineating a groundwater potential zone. Although mapping groundwater potential zones has be...

A modified TOPSIS algorithm for the assessment of sports quality in higher education using circular pythagorean fuzzy information.

Scientific reports
Higher education institutions experience difficulties in sports quality assessment because multiple qualitative and quantitative factors, including sports facilities and coaching abilities, combine with student participation and institutional backing...

Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner.

BMC medical informatics and decision making
BACKGROUND: This study explored workflow pathways followed by patients seeking secondary healthcare services at a local hospital in a rural part of Turkey using process mining to improve hospital resource management.