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  <doi_batch_id>aspg-18-1850-1792025485</doi_batch_id>
  <timestamp>20261015005125</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Intelligent Systems and Internet of Things</full_title>
    <abbrev_title>JISIoT</abbrev_title>
    <issn media_type="print">2769-786X</issn>
    <issn media_type="electronic">2690-6791</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>9</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Granulation-Based Data Fusion Approach for a Critical Thinking Worldview Information Processing</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>A.</given_name>
      <surname>Madhuri</surname>
      <affiliations>
       <institution>
        <institution_name>Department of CSE, PVPSIT, Andhra Pradesh, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Veerapaneni Esther</given_name>
      <surname>Jyothi</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Computer Applications, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>S. Phani</given_name>
      <surname>Praveen</surname>
      <affiliations>
       <institution>
        <institution_name>Department of CSE, PVPSIT, Andhra Pradesh, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Mustafa</given_name>
      <surname>Altaee</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Medical instruments engineering techniques, Alfarahidi University, Baghdad, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Ibrahim N.</given_name>
      <surname>Abdullah</surname>
      <affiliations>
       <institution>
        <institution_name>Department of computer science, Al-turath University College, Baghdad, Iraq</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Natural computation, motivated by the organic game arrangement, is a knowledge base field that formalizes the measurements seen in living organic entities to plan machine techniques to tackle complicated issues or to plan artificial structures with additional traditional behaviors. Seeable corporations disconnected from natural wonders, reminiscent of mind demonstration, self-association, self-redundancy, Darwinian resistance, self-evaluation, discernment, and granulation, nature is crammed as a supply of motivation to advance competition. Computational devices or frameworks accustomed solve complex problems. The ideal, nature-motivated primary computation models used for such sweetening incorporate artificial neural organizations, spongy reasoning, arduous set, biological process calculations, shape mathematics, DNA registration, artificial life, And granular or insight-based processing. The granulation of information within the granular register is an innate attribute of human thought and therefore the life of thought acted call at regular daily existence. This paper illustrates the importance of normal recording in terms of granulation-based data preparation models, for example, neural organizations, soft and ugly sets, and their hybridization. we have a tendency to emphasize the bio-sensitive inspiration, designing standards, application zones, open scan problems, and testing issues for these models.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>49</first_page>
     <last_page>68</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1850</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/JISIoT.090104</doi>
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