Multi-fuzzy set similarity measures using S and T operations
Downloads
Published
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
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
Downloads
Similar Articles
- 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. Vamsi Narasimha Rao, P.S.Prakash, M.Veera Kumari, Improvement of power system operation using a novel hybrid optimization method for optimal allocation of facts devices in radial transmission line , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Jyoti Vishwakarma, Sunil Kumar, Navigating the Skies: An Analysis of ESG Practices in the Airline Industry , The Scientific Temper: Vol. 17 No. 01 (2026): 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
- 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
- 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
- Suprabha Amit Kshatriya, Jaymin K Bhalani, Fire and smoke detection with high accuracy using YOLOv5 , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Medha, Improvising the Mind: Metacognitive Skill Formation Through Musical Practice Among Youth , The Scientific Temper: Vol. 17 No. 01 (2026): 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
- Manikannan Palanivel, Alaudeen A, Pandiyan K. S, Sivaprakasam P, Hybrid fuzzy and fire fly algorithm-based MPPT controller for PV system using super lift boost converter , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 2 3 4 5 6 7 8 9 10 11 > >>
You may also start an advanced similarity search for this article.

