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  <doi_batch_id>aspg-31-3480-1791686791</doi_batch_id>
  <timestamp>20261011024631</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Advances in Applied Computational Intelligence</full_title>
    <abbrev_title>IJAACI</abbrev_title>
    <issn media_type="electronic">2833-5600</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>7</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Knowledge-Based Decision Support System for Selecting Optimal Web Services Based on QoS Attributes for Business Process Composition</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Stipan</given_name>
      <surname>Podobnic</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Mathematics, University of Rijeka, City of Rijeka, Croatia</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Barbara</given_name>
      <surname>Charchekhandra</surname>
      <affiliations>
       <institution>
        <institution_name>Jadavpur University, Department of Mathematics, Kolkata, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Web services are a crucial part of large-scale software development and cross-organizational collaboration. This chapter discusses the challenges of selecting the finest internet services among the vast array of possibilities available, with an emphasis on quality of service (QoS) features. Web services must fulfil every requirement needed to provide optimal user experience and the efficient execution of corporate operations. In order to find the best services, we look at important quality of service characteristics including response speed, reliability, accessibility, and efficiency. In what follows, you will find a detailed method for selecting services. The approach consists of three steps: finding services, improving them according to QoS constraints, and grading those using weighted normalized techniques. At each stage, methods are provided to ensure an accurate and successful selection that meets the customer's needs. The proposed method seems to work, according to the results of the trials. The rating of services for several customers with varying limits, achieved using real-life data sets, demonstrates the approach of filtering and assessing to acquire optimal results. This method boosts the efficiency and usefulness of the selected services by combining functional and non-functional aspects. Finally, this part concludes by stressing the importance of quality of service in guaranteeing customer satisfaction and optimizing the delivery of services in competitive and fast-changing environments. Service 3 has the highest accuracy rate at 96.5%. Due to their low reaction times and high availability, Services 2 and 6 are in close second place. Services 4 and 7 have good availability ratings; however, they take longer to respond. Services 1 and 8 have moderate availability and high response times; hence, they get the lowest scores. When it comes to reliability and accuracy, Service 3 remains your most effective choice.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>34</first_page>
     <last_page>49</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3480</item_number>
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     <doi>10.54216/IJAACI.070103</doi>
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