AIMC Topic: Fuzzy Logic

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Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data.

Scientific reports
Knee injuries are common in several people, frequently controlling for significant injuries and health care costs. This article explains the role of personalized exercise prescriptions in preventing knee injuries. For this purpose, we used the multic...

Cognition-enhanced geospatial decision framework integrating fuzzy FCA, surprisingly popular method, and a large language model.

Scientific reports
This study introduces a cognition-enhanced framework for geospatial decision-making by integrating Fuzzy Formal Concept Analysis (FCA), the Surprisingly Popular (SP) method, and a Large Language Model (GPT-4o). Our approach captures cognitive influen...

MRI based early Temporal Lobe Epilepsy detection using DGWO based optimized HAETN and Fuzzy-AAL Segmentation Framework (FASF).

PloS one
This work aims to promote early and accurate diagnosis of Temporal Lobe Epilepsy (TLE) by developing state-of-the-art deep learning techniques, with the goal of minimizing the consequences of epilepsy on individuals and society. Current approaches fo...

An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.

Scientific reports
Effective inpatient bed management is critical for optimizing healthcare resource utilization and ensuring high-quality patient care. The growing imbalance between bed capacity and patient demand underscores the need for robust, patient-centered prio...

Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis.

Scientific reports
For modeling dairy cattle data, fuzzy logic offers the capability to manage uncertainty, enhance accuracy, facilitate informed decision-making, and optimize resource allocation. A critical aspect of dairy cattle production is the modeling of mastitis...

An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model.

Scientific reports
The expansion rate of medical data during the past ten years has rapidly expanded due to the vast fields. The automated disease diagnosis system is proposed using a deep learning (DL) algorithm, which automates and helps speed up the process efficien...

Enhancing occluded and standard bird object recognition using fuzzy-based ensembled computer vision approach with convolutional neural network.

Scientific reports
Classifying bird species is essential for ecological study and biodiversity protection, currently, conventional approaches are frequently laborious and susceptible to mistakes. Convolutional Neural Networks (CNNs) provide a more reliable option for f...

Enhancing intercultural competence in technical higher education through AI-driven frameworks.

Scientific reports
The assessment of Intercultural Competence (IC) is increasingly recognized as an essential component of students' professional competency development in higher education settings. This study looks at the objectives of creating ICC and offers an asses...

Development of a triangular Fermatean fuzzy EDAS model for remote patient monitoring applications.

Scientific reports
Remote Patient Monitoring Systems (RPMS) are vital for tracking patients' health outside clinical settings, such as at home or in long-term care facilities. Wearable sensors play a crucial role in these systems by continuously collecting and transmit...

Edge computing based english translation model using fuzzy semantic optimal control technique.

PloS one
People's need for English translation is gradually growing in the modern era of technological advancements, and a computer that can comprehend and interpret English is now more crucial than ever. Some issues, including ambiguity in English translatio...