Scaffolding Strategies for Tissue Engineering and Regenerative Medicine Applications: MABAC Method and Hamacher Aggregation Operators for Circular q-Rung Orthopair Fuzzy Decision-Making Problems

Ali Z., Bibi I., Moslem S., Senapati T.

IEEE Access, vol.12, pp.130493-130511, 2024 (SCI-Expanded, Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 12
  • Nəşr tarixi: 2024
  • Doi nömrəsi: 10.1109/access.2024.3457020
  • jurnalın adı: IEEE Access
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
  • Səhifə sayı: pp.130493-130511
  • Açar sözlər: Circular q-rung orthopair fuzzy sets, decision-making problems, MABAC methods, regenerative medicine applications, tissue engineering
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Yox

Qısa məlumat

'Scaffolding Strategies' is a procedure that is used the support the students in the context of education or the learning process. In tissue engineering and regenerative medicine strategies, cells are scattered on a framework that performs as a template to monitor cell growth and to simplify the creation of practical new tissues and organs. In this article, we invent the Hamacher operational laws for circular q-rung orthopair fuzzy (Cirq-ROF) numbers. Further, we describe the model of the Cirq-ROF Hamacher averaging operator and Cirq-ROF Hamacher geometric operator. Moreover, the models of idempotency, monotonicity, and boundedness are derived from the above techniques. Additionally, we describe the model of the multi-attribute border approximation area comparison (MABAC) technique for the above operators. For the utilization of the above procedure, we illustrate some examples based on the technique of multi-attribute decision-making technique model to show the flexibility of the presented theory. Finally, we compare the invented ranking theory with the ranking values of existing techniques to improve the worth of the developed theory.