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
- K. Fathima, A. R. Mohamed Shanavas, TALEX: Transformer-Attention-Led EXplainable Feature Selection for Sentiment Classification , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- A. Rukmani, C. Jayanthi, Fuzzy optimization trust aware clustering approach for the detection of malicious node in the wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Improving image quality assessment with enhanced denoising autoencoders and optimization methods , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- L. Amudavalli, K. Muthuramalingam, Energy-efficient location-based routing protocol for wireless sensor networks using teaching-learning soccer league optimization (TLSLO) , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Vishnu Prasad C, Ramaprabha D, An assessment of growth indicators and intricacies of Udyam entities in the post-pandemic era , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- M. Iniyan, A. Banumathi, Brower blowfish nash secured stochastic neural network based disease diagnosis for medical WBAN in cloud environment , The Scientific Temper: Vol. 15 No. 03 (2024): 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
- 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
You may also start an advanced similarity search for this article.
