[HTML][HTML] Enhanced sugeno fuzzy inference system with fuzzy AHP and coefficient of variation to diagnose cardiovascular disease during pregnancy

S Mariadoss, F Augustin - Journal of king saud university-computer and …, 2023 - Elsevier
Accurate prediction of cardiovascular disease (CVD) risks during pregnancy is vital for
preventing and treating life-threatening condition. Existing research has explored fuzzy …

[HTML][HTML] Various defuzzification and ranking techniques for the heptagonal fuzzy number to prioritize the vulnerable countries of stroke disease

E Natarajan, F Augustin, MKA Kaabar… - Results in Control and …, 2023 - Elsevier
The idea of fuzzy numbers is determined according to their uncertainty points, which include
interval values, triangular, trapezoidal, and heptagonal fuzzy numbers, etc. This article …

Analyzing risk factors of tuberculosis using type-2 interval-valued trapezoidal fuzzy numbers with Einstein aggregation operators extended to MCDM

RM Sheela, S Dhanasekar - Heliyon, 2024 - cell.com
The principal motive of this work is to evolve and initiate an extension from interval-valued
fuzzy sets to type-2 interval-valued fuzzy sets (T2IVFS) related to weighted aggregation …

Bipolar trapezoidal fuzzy ARAS method to identify the tuberculosis comorbidities

N Ezhilarasan, A Felix - … Engineering: Proceedings of 6th ICMETE 2022, 2023 - Springer
Tuberculosis causes a high mortality rate worldwide. The World Health Organization (WHO)
report shows that TB afflicts over 10.4 million people. It is found that TB comorbidities …

[图书][B] Novel developments in futuristic AI-based technologies

M Sahni, JM Merigó, W Hussain - 2023 - Springer
This book is a compilation of various topics related to mathematical tools for analysis and
decision-making, applications of IoT and digital technology in real life, and applications of …

A Clustering Multi-Criteria Decision-Making Method for Large-Scale Discrete and Continuous Uncertain Evaluation

S Wang, W Ma, J Zhan - Entropy, 2022 - mdpi.com
In recent years, Dempster–Shafer (D–S) theory has been widely used in multi-criteria
decision-making (MCDM) problems due to its excellent performance in dealing with discrete …

Classification of the Population Health Status with the MR-Sort Method

V Larreta, PA Alvarez, T Gadea, A Duarte… - Novel Developments in …, 2023 - Springer
The research studies the population's health in a region of Mexico. The health evaluation
concerns a municipality of a northern region, developed with a multicriteria decision-making …

Fuzzy DEMATEL Approach to Identify the Modifiable Risk Factors of Cardiovascular Disease

M Stephen, A Felix - … Engineering: Proceedings of 6th ICMETE 2022, 2023 - Springer
Cardiovascular disease is the world's most lethal non-communicable disease.
Cardiovascular disease killed approximately 17.9 million people in 2019, taking account for …

Intuitionistic Fuzzy PROMETHEE Method for Medical Ventilator Selection

S Aicevarya Devi, A Felix - … Engineering: Proceedings of 6th ICMETE 2022, 2023 - Springer
Abstract Knowledge about medical ventilators is paramount as it acts as a lifesaver for
COVID patients. Due to the availability of unrelated health conditions, the medical market …

[PDF][PDF] Results in Control and Optimization

E Natarajan, F Augustin, MKA Kaabar, CR Kenneth… - researchgate.net
The idea of fuzzy numbers is determined according to their uncertainty points, which include
interval values, triangular, trapezoidal, and heptagonal fuzzy numbers, etc. This article …