<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-information-and-optimization-sciences</journal-id>
      <journal-title-group>
        <journal-title>Journal of Information and Optimization Sciences</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0103</issn>
      <issn publication-format="print">0252-2667</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIOS-2103</article-id>
      <title-group>
        <article-title>Optimizing resource allocation in disaster response : A multi-criteria decision-making approach using analytic hierarchy process</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Rahman</surname>
            <given-names>Nafisur</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, School of Engineering Sciences &amp; Technology, Jamia Hamdard (Deemed to be University), Hamdard Nagar, New Delhi, Delhi, 110062, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Siddiqui</surname>
            <given-names>Farheen</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, School of Engineering Sciences &amp; Technology, Jamia Hamdard (Deemed to be University), Hamdard Nagar, New Delhi, Delhi, 110062, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ahmed</surname>
            <given-names>Jawed</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, School of Engineering Sciences &amp; Technology, Jamia Hamdard (Deemed to be University), Hamdard Nagar, New Delhi, Delhi, 110062, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Nafis</surname>
            <given-names>Md. Tabrez</given-names>
          </name>
          <aff>Department of Computer Science and Engineering, School of Engineering Sciences &amp; Technology, Jamia Hamdard (Deemed to be University), Hamdard Nagar, New Delhi, Delhi, 110062, India</aff>
        </contrib>
      </contrib-group>
      <volume>47</volume>
      <issue>6</issue>
      <fpage>2193</fpage>
      <lpage>2204</lpage>
      <pub-date date-type="pub">
        <day>29</day>
        <month>05</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>Efficient allocation of resources is essential in disaster response to reduce the adverse effects of catastrophic events and expedite recovery. The complexity of these situations requires strong decision-making methods that can handle multiple criteria and uncertainty. This article shows how the Analytic Hierarchy Process (AHP) might be employed to address resource allocation difficulties in disaster response. AHP is a method for decision-making that assesses and ranks different options based on specific criteria and their respective significance. It offers a structured method for decision-making by organizing problems hierarchically and using pairwise comparisons. Integrating AHP into resource allocation improves decision-making by offering a systematic framework to evaluate the Resource Allocation options based on various criteria. This article showcases how AHP may optimize resource allocation decisions.</p>
      </abstract>
      <kwd-group>
        <kwd>Multi-criteria decision-making</kwd>
        <kwd>Analytic hierarchy process</kwd>
        <kwd>Resource allocation</kwd>
        <kwd>Disaster response</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
