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
- P. John Robinson, P. Susai Alexander, Neural net influenced magdm problem with modified choquet integral aggregation operators and correlation coefficient for triangular fuzzy intuitionistic fuzzy sets , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- A. Pappa, P. Muruganantham, A. Nagoor Gani, Properties on semi-ring of fuzzy matrices with compatible norm , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- J. Helan Shali Margret, N. Amsaveni, A study on recency patterns of cited resources in the cytokine publications from web of science , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A framework for diabetes diagnosis based on type-2 fuzzy semantic ontology approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- M. Vijaya, D. Hema, Some properties of maximal product of two picture fuzzy soft graph , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- A. Kalaiselvi, A. Chandrabose, Fuzzy logic-driven scheduling for cloud computing operations: a dynamic and adaptive approach , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A novel approach using type-II fuzzy differential evolution is proposed for identifying and diagnosis of diabetes using semantic ontology , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V Babydeepa, K. Sindhu, A hybrid feature selection and generative adversarial network for lung and uterus cancer prediction with big data , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- P. J. Robinson, S. W. A. Prakash, Stochastic artificial neural network for magdm problem solving in intuitionistic fuzzy environment , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V. Umadevi, S. Ranganathan, IoT based energy aware local approximated MapReduce fuzzy clustering for smart healthcare data transmission , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
You may also start an advanced similarity search for this article.
