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
- 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
- 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
- Mohammedabrar H. Malek, Hydroxyl-terminated triazine dendrimers mediated pH-dependent solubility enhancement of glipizide across dendritic generations: A comparative investigation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Gomathi Ramalingam, Logeswari S, M. D. Kumar, Manjula Prabakaran, Neerav Nishant, Syed A. Ahmed, Machine learning classifiers to predict the quality of semantic web queries , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- K. Akila, Location-specific trusted third-party authentication model for environment monitoring using internet of things and an enhancement of quality of service , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Poojith K. D. P, Somashekhara ., Dasharatha P. Angadi, Assessing the impact of cyclonic storm Tauktae on shoreline change in Mangaluru coast using geospatial technology , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- L.P. Kumar, Vajha S. Kumar, Algebraic properties of periodic points to the additive cellular automata , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Jasleen Kaur, Sultan Singh, Assessing the Impact of Stress on the Health and Job Performance of Employees in Indian Banks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Sweta Sain, Nilima Kumari, BN Tirpathi, ETHNOBOTANICAL STUDIES ON MEDICINAL PLANTS OF BANASTHALI REGION OF TONK DISTRICT, RAJASTHAN (INDIA) , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
You may also start an advanced similarity search for this article.
