An enhanced physical education evaluation algorithm for higher education using interval-valued Fermatean fuzzy information


Hussain A., Ullah K., Ali Z., Moslem S., Senapati T.

Socio-Economic Planning Sciences, vol.101, 2025 (SCI-Expanded, SSCI, Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 101
  • Nəşr tarixi: 2025
  • Doi nömrəsi: 10.1016/j.seps.2025.102280
  • jurnalın adı: Socio-Economic Planning Sciences
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, International Bibliography of Social Sciences, Business Source Elite, Business Source Premier, EconLit, Educational research abstracts (ERA), Index Islamicus, Political Science Complete, Social services abstracts, Sociological abstracts, Worldwide Political Science Abstracts
  • Açar sözlər: Interval-valued fermatean fuzzy information, Multi-attribute group decision-making, Physical education, Sugeno-weber t-norms
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Bəli

Qısa məlumat

Physical education in higher education plays a significant role in the holistic development of students, including cognitive, physical, emotional, and social aspects. Decision-making models are essential for assessing the effectiveness of physical education programs in higher education. An interval-valued Fermatean fuzzy set is a practical approach used for handling uncertain and vague type information in the decision-analysis process. This article presents some flexible operations of Sugeno-Weber t-norms to fuse much human information under an interval-valued Fermatean fuzzy environment. We derive innovative mathematical terminologies of Sugeno-Weber t-norms, such as interval-valued Fermatean fuzzy Sugeno-Weber weighted average and interval-valued Fermatean fuzzy Sugeno-Weber weighted geometric operators with dominant properties of idempotency, monotonicity, and boundedness. The multi-attribute group decision-making problem is used to investigate complicated real-life application solutions. To prove the validation and compatibility of diagnosed theories, we discussed an application of physical education with the help of numerical examples and pioneered mathematical approaches. Additionally, a comparison technique is established to contrast the results of the proposed approaches with existing methodologies. Finally, the advantages and limitations of future directions are also discussed.