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Bipolar Trapezoidal Fuzzy ARAS Method to Identify the Tuberculosis Comorbidities

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Micro-Electronics and Telecommunication Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 617))

Abstract

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 disease causes a rapid increase in disease level. Therefore, this study aims to analyze the communicable and non-communicable diseases that impact TB levels in patients. This process includes the bipolar trapezoidal fuzzy set to analyze the vagueness or ambiguity in positive and negative perceptions. The entropy technique is used for weighting the influencing criteria in the bipolar view. The top 10 TB-affected Indian states are chosen as criteria. The fuzzy additive ratio assessment (ARAS) technique is applied to determine the influencing comorbidities disease in TB. The obtained result is verified through the extant fuzzy evaluation based on distance from average solution (EDAS) method. Therefore, the proposed and comparative analysis provides the same result, which proves that the proposed method is very effective in the bipolar view.

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Authors and Affiliations

  1. Mathematics Division, School of Advanced Science, Vellore Institute of Technology, Chennai, India

    N. Ezhilarasan & A. Felix

Authors
  1. N. Ezhilarasan
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  2. A. Felix
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Corresponding author

Correspondence to A. Felix .

Editor information

Editors and Affiliations

  1. SRM Institute of Science and Technology, Ghaziabad, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Hualien, Taiwan

    Sheng-Lung Peng

  3. SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  4. Department of Embedded Systems Engineering, College of Information Technology, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ezhilarasan, N., Felix, A. (2023). Bipolar Trapezoidal Fuzzy ARAS Method to Identify the Tuberculosis Comorbidities . In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering . Lecture Notes in Networks and Systems, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-19-9512-5_52

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  • DOI: https://doi.org/10.1007/978-981-19-9512-5_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9511-8

  • Online ISBN: 978-981-19-9512-5

  • eBook Packages: EngineeringEngineering (R0)

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