Frank-Based TOPSIS Methodology of Development and Operations Challenges Based on Intuitionistic Linguistic Aggregation Operators and Their Applications

Ali Z., Khan Z. A., Senapati T., Moslem S.

IEEE Access, vol.12, pp.91605-91618, 2024 (SCI-Expanded, Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 12
  • Nəşr tarixi: 2024
  • Doi nömrəsi: 10.1109/access.2024.3420711
  • jurnalın adı: IEEE Access
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
  • Səhifə sayı: pp.91605-91618
  • Açar sözlər: Decision-making problems, Frank averaging/geometric aggregation operators, intuitionistic linguistic sets
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Yox

Qısa məlumat

DevOps is a collection of principles, practices, and cultural philosophies aimed at enhancing communication and collaboration among information and technology operations groups and software development. The key objective of DevOps is to simplify the software development growth, from early development through operations, testing, and deployment, to distribute high-quality software products reliably, quickly, and feasibly. In this manuscript, we derive the frank operational laws based on IL information for FTN and FTCN. Additionally, we analyze the ILFWA operator, ILFOWA operator, ILFWG operator, and ILFOWG operator. Some fundamental laws for the above operators are also derived. Moreover, using the techniques, we evaluate the TOPSIS technique, which will help in the investigation of the best optimal. Further, we illustrate some practical examples based on initiated techniques for showing the supremacy and validity of the derived theory with the help of MADM methods by evaluating the problem of DevOps. Finally, to show the supremacy and validity of the presented techniques, we aim to compare the proposed ranking values with some existing techniques.