Predicting The Performance Of Governance Factor Using Fuzzy Inference System

Authors

  • Amna Ilyas Department of Computer Science, Institute for Art and Culture, Lahore, Pakistan
  • Zara Naeem Department of Computer Science, Lahore Garrison University Lahore Pakistan
  • Aqsa Noor Department of Computer Science, Ncba&E, Lahore, Pakistan
  • Fatima Naeem Department of Computer Science, Lahore Garrison University Lahore Pakistan

Keywords:

Fuzzy interference system, community involvement, smart governance, smart city, multi-level governance

Abstract

The reason for this paper is to introduce a more extensive view of "smart" initiatives. Smart Governance is an element of a shrewd city for smart use of ICT to improve the essential authority. The administration is subject to the data that is being recorded. The smart government might be considered as a justification behind making smart governance, through the local area association, association, and multi-governance. Before this article, we simply go through governance with the inclusion of local areas. Another computational strategy is proposed for the assessment of the Governance variables of the smart city utilizing the Mamdani System. By analyzing government straightforwardness, the result of the examination can be utilized to gauge the viability of public data revelation regulation and to decide the state of e-government in local government in which as a component of a smart city. Investigation into smart city governance could profit from past examinations into progress and disappointment factors for e-government and expand upon modern hypotheses of socio-specialized change.

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Published

30-06-2022

How to Cite

Amna Ilyas, Zara Naeem, Aqsa Noor, & Fatima Naeem. (2022). Predicting The Performance Of Governance Factor Using Fuzzy Inference System. International Journal of Computational and Innovative Sciences, 1(2), 1–11. Retrieved from https://ijcis.com/index.php/IJCIS/article/view/19

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