An integrated intuitionistic dense fuzzy Entropy-COPRAS-WASPAS approach for manufacturing robot selection

S Sampathkumar, F Augustin… - Advances in …, 2023 - journals.sagepub.com
Manufacturing robots are used for industrial purposes. Robots used for manufacturing
purpose have the power to create products from raw materials and are capable of operating …

A bipolar fuzzy p-competition graph based ARAS technique for prioritizing COVID-19 vaccines

D Nithyanandham, F Augustin - Applied Soft Computing, 2023 - Elsevier
A bipolar fuzzy competition graph helps to examine the competition between two vertices
when they have a common out-neighbourhood. With this idea, the bipolar fuzzy p …

Decision models for selection of industrial Robots—A comprehensive comparison of multi-criteria decision making

G Shanmugasundar, K Kalita, R Čep, JS Chohan - Processes, 2023 - mdpi.com
Due to increased demands of production capacity and higher quality requirements,
industries are automating at a fast pace. Industrial robots are an important component of the …

A bipolar intuitionistic fuzzy decision-making model for selection of effective diagnosis method of tuberculosis

E Natarajan, F Augustin, R Saraswathy… - Acta Tropica, 2024 - Elsevier
Objectives: Tuberculosis (TB) is a contagious illness caused by Mycobacterium tuberculosis.
The initial symptoms of TB are similar to other respiratory illnesses, posing diagnostic …

Bipolar intuitionistic fuzzy graph based decision-making model to identify flood vulnerable region

D Nithyanandham, F Augustin… - … Science and Pollution …, 2023 - Springer
Bipolar intuitionistic fuzzy graphs (BIFG) are an extension of fuzzy graphs that can effectively
capture uncertain or imprecise information in various applications. In graph theory, the …

Energy based bipolar intuitionistic fuzzy digraph decision-making system in selecting COVID-19 vaccines

D Nithyanandham, F Augustin, DR Micheal… - Applied Soft …, 2023 - Elsevier
The energy of a graph, defined as the absolute sum of the eigenvalues (EIGs) of its
adjacency matrix, has been applied to numerous research fields, including decision-making …

An enhanced decision making model for industrial robotic selection using three factors: Positive, abstained, and negative grades of membership

D Kang, M Sandra, S Narayanamoorthy, K Suvitha… - Applied Soft …, 2024 - Elsevier
Traditional packaging industries that lack automation often grapple with a spectrum of
challenges that impede operational efficiency, productivity and overall competitiveness. To …

Fuzzy AHP point factored inference system for detection of cardiovascular disease

M Stephen, A Felix - Journal of intelligent & fuzzy systems, 2023 - content.iospress.com
The World health organization (WHO) reported that cardiovascular disease is the leading
cause of death worldwide, particularly in developing countries. But while diagnosing …

[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 …