Multi-fuzzy set similarity measures using S and T operations
Downloads
Published
23-08-2024
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.14Keywords:
Multi-fuzzy sets, Weighted multi-fuzzy sets, Similarity measure, T- operation, S- operation, Semi-quasi similarity measure.Dimensions Badge
Issue
Section
SECTION B: PHYSICAL SCIENCES, PHARMACY, MATHS AND STATS
License
Copyright (c) 2024 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This paper introduces some similarity measures on multi-fuzzy set, enhancing multi-fuzzy set analysis through a weighting mechanism using S and T operations. Using a fuzzy matrix, we define a weighted relation, summarizing the characteristics of multi-fuzzy set M in relation to a weighted column matrix A. The relation A≤is established by comparing membership grades and weighted elements, expressing similarity or dissimilarity within elements of X.Abstract
How to Cite
P, P., Sabu Sebastian, Haseena C., Bijumon R., Shaju K., Gafoor I., & Sangeeth S. J. (2024). Multi-fuzzy set similarity measures using S and T operations. The Scientific Temper, 15(03), 2498–2501. https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.14
Downloads
Download data is not yet available.
Similar Articles
- Zohra Bi, Abdul Hameed, Sogara Bi, Impact of the pandemic (COVID-19) on the financial performance of selected Indian telecommunication sector , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Mohiyuddeen Hafzal, Management strategies for sustainable development goals: A roadmap to Viksit Bharat@2047 , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- A. Sathya, M. S. Mythili, MOHCOA: Multi-objective hermit crab optimization algorithm for feature selection in sentiment analysis of Covid-19 Twitter datasets , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- C. Premila Rosy, Clustering of cancer text documents in the medical field using machine learning heuristics , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Amanda Q. Okronipa, Jones Y. Nyame, Adoption of health information systems in emerging economies: Evidence from Ghana , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Pravin P. P, J. Arunshankar, Development of digital twin for PMDC motor control loop , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Ritu Nagila, Abhishek Kumar Mishra, Ashish Nagila, Role of big data in enhancing lung cancer prediction and treatment , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Bratati Dey, Poonam Sharma, A comprehensive review of urban growth studies and predictions using the Sleuth model , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- M. Ragul, A. Aloysius, V. Arul Kumar, Enhancing IoT blockchain scalability through the eepos consensus algorithm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Sirajum Munira Priety, Farhan Bin Manjur, AI Driven Approach in Smart Manufacturing in Bangladesh , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
You may also start an advanced similarity search for this article.
