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  <doi_batch_id>aspg-21-1026-1791472409</doi_batch_id>
  <timestamp>20261008151329</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Neutrosophic Science</full_title>
    <abbrev_title>IJNS</abbrev_title>
    <issn media_type="print">2692-6148</issn>
    <issn media_type="electronic">2690-6805</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <journal_volume>
     <volume>18</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Introduction to Restricted Neutrosophic Set and Its Application</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Somen</given_name>
      <surname>Debnath</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, Umakanta Academy, Agartala-799001, Tripura, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This paper is devoted to introduce a novel concept known as restricted neutrosophic set (RNS) as another subclass of neutrosophic set (NS). The purpose of introducing the notion of RNS is to give a new mathematical theory that is more promising and purposeful than the existing fuzzy-centric theories to solve the uncertainty based real-world problems in a lucid manner. From decision-makers point of view, the new mathematical tool can be viewed as a direct extension of Pythagorean neutrosophic set (PNS). The PNS has its own inherent limitation for which the decision-makers can’t answer a certain type of problem. For example, in a certain problem, if we consider the degree of truth-membership</jats:p>
     <jats:p>DrawAspect=&quot;Content&quot; ObjectID=&quot;_1709849780&quot;&gt;</jats:p>
     <jats:p>=0.8, degree of indeterminate-membership</jats:p>
     <jats:p>DrawAspect=&quot;Content&quot; ObjectID=&quot;_1709849781&quot;&gt;</jats:p>
     <jats:p>, and the degree of falsity-membership</jats:p>
     <jats:p>DrawAspect=&quot;Content&quot; ObjectID=&quot;_1709849782&quot;&gt;</jats:p>
     <jats:p>=0.8, then it gives an absurd result under PNS. To remove such kind of absurdity, there is a demand to introduce another superior set-theoretical concept that provides more information for the decision-makers. This gives rise to the introduction of RNS. In RNS, we choose any value belongs to</jats:p>
     <jats:p>DrawAspect=&quot;Content&quot; ObjectID=&quot;_1709849784&quot;&gt;</jats:p>
     <jats:p>for the three membership degrees so that their product always limited to 1. So, the beauty of RNS is that it can accommodate more information within small range with relaxed membership values i.e under RNS we can consider the maximum membership triplet as</jats:p>
     <jats:p>DrawAspect=&quot;Content&quot; ObjectID=&quot;_1709849785&quot;&gt;</jats:p>
     <jats:p>. Undoubtedly the RNS gives more compact set-theoretical model to describe imprecise knowledge with ease. Finally, a decision-making approach based algorithm is introduced and applied to solve medical diagnosis problem.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>227</first_page>
     <last_page>242</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1026</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/IJNS.180206</doi>
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