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Fuzzy Logic Architecture for Availing E-Governance Healthcare Services by Rural Citizens

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Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 252))

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Abstract

The Larger part of the Indian populace dwells in rustic towns in our society. It is detailed from the World Bank that 66 percent of the complete populace in India is secured by provincial individuals. Subsequently any administrations encouraged by the Indian government ought to reach the provincial individuals straightforwardly. E-governance is the application planned and created by the government to offer its administrations and fulfill the essential prerequisites of the rustic individuals through Data and Communication Innovation (ICT) across the globe. Developed countries such as the United States, China and the United Kingdom have implemented effective e-Government services. Indeed, in spite of the fact that the activities are taken by the government to offer its best administrations to reach the rustic individuals, the recurrence of evaluating and utilizing it beneficially is still missing in rustic towns. This think about has inspected on recognizing the actualities that are emphatically related with the utilization measurements of provincial individuals towards e-governance administrations. Based on the measurements from the writing study the analysts have planned the Fuzzy framework utilizing R Programming Dialect to analyze and anticipate the real utilization of e-governance administrations. Nine Fuzzy rules have been organized and tried with four distinctive sets of illustrations. The comes about produced by the Fuzzy framework makes a difference the government authorities and the policymakers for distinguishing the outlets of the rustic individuals for beneficially getting to e-governance administrations.

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Authors and Affiliations

  1. SRM Institute of Science and Technology (SRMIST), Kattankulathur, India

    M. Bhuvana & A. Ramkumar

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  1. M. Bhuvana
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  2. A. Ramkumar
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Correspondence to M. Bhuvana .

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Editors and Affiliations

  1. French Prime Minister Services, Paris 07, France

    Christophe Gaie

  2. Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Sarvajanik University, Surat, India

    Mayuri Mehta

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Bhuvana, M., Ramkumar, A. (2024). Fuzzy Logic Architecture for Availing E-Governance Healthcare Services by Rural Citizens. In: Gaie, C., Mehta, M. (eds) Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations. Intelligent Systems Reference Library, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-031-55575-6_9

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