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

Journal: Acta tropica
Published Date: Apr 1, 2024

Abstract

OBJECTIVES: Tuberculosis (TB) is a contagious illness caused by Mycobacterium tuberculosis. The initial symptoms of TB are similar to other respiratory illnesses, posing diagnostic challenges. Therefore, the primary goal of this study is to design a novel decision-support system under a bipolar intuitionistic fuzzy environment to examine an effective TB diagnosing method.

Authors

  • Ezhilarasan Natarajan
    Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India.
  • Felix Augustin
    Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology (Chennai Campus), Chennai, Tamil Nadu, India.
  • Ranganathan Saraswathy
    Department of Radiology, Karpagam Medical College and Hospital, Coimbatore 641032, Tamil Nadu, India.
  • Samayan Narayanamoorthy
    Department of Mathematics, Bharathiar University, Coimbatore-46, India.
  • Soheil Salahshour
    Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey; Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey; Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
  • Ali Ahmadian
    Institute of Industry Revolution 4.0, National University of Malaysia, 43600 UKM Bangi, Selangor, Malaysia.
  • Daekook Kang
    Department of Industrial and Management Engineering, Inje University, Gimhae-si, Gyeongsangnam-do, Republic of Korea.

Keywords

External Resources

Popular Topics
Recent Journals