E3S Web of Conferences (Jan 2024)

On Solving Multi-Attribute Decision Making Problem Using AHP

  • J. Jayapriya,
  • K. Selvakumari,
  • S. Kavitha

DOI
https://doi.org/10.1051/e3sconf/202449104013
Journal volume & issue
Vol. 491
p. 04013

Abstract

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Multi-attribute Decision Making (MADM) is concerned with the elucidation of the levels of preference of decision alternatives, through judgments made over a number of criteria. Many complex MADM problems are characterized with both quantitative and qualitative-of preference of decision alternatives, through judgments made over a number of criteria. Many complex MADM problems are characterized with both quantitative and qualitative-attributes. In selection of its suppliers, an organization needs to take into account such attributes as quality, technical capability, supply chain management, financial soundness, environmental and so on. Many smart technologies are used in modern cities to improve society's well-being in many ways. The proposed research focuses on communication methods for data applications. Our main goal for this paper is to use little energy as possible while delivering as much data as possible by using multi-attribute decision-making.