International Journal of Mathematics Trends and Technology
Volume 71 | Issue 6 | Year 2025 | Article Id. IJMTT-V71I6P102 | DOI : https://doi.org/10.14445/22315373/IJMTT-V71I6P102
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 07 Apr 2025 | 15 May 2025 | 01 Jun 2025 | 16 Jun 2025 |
A fuzzy number is an important concept for handling vague, imprecise and ambiguous cases in daily life. We propose to study different types of fuzzy numbers with examples and some results on fuzzy numbers. In biological science, the growth/decay of bacteria is a very important factor in knowing the symptoms/diseases in humans and animals. The decagonal fuzzy number has proved important in studying bacteria, particularly the growth rate in bacteria, which consists of 10 points, so it is not easy to handle this situation by applying triangular or trapezoidal fuzzy numbers. Therefore, we plan to study decagonal fuzzy numbers in detail here.
Decagonal, Interval, Weight, α- cut etc..
[1] George J. Klir, and Bo Yuan, Fuzzy Sets & Fuzzy Logic Theory and Applications, 2008.
[Google Scholar] [Publisher Link]
[2] S. Chandrasekaran, “Applications of Fuzzy Number Mathematics,” International Journal of Innovative Science, Engineering &
Technology, vol. 2, no. 11, pp. 149-176, 2015.
[Google Scholar] [Publisher Link]
[3] Samah Bekheet, “Polygon Fuzzy Numbers,” Africa Development and Resources Research Institute Journal, vol. 3, no. 3, pp. 52-63, 2013.
[Google Scholar]
[4] T. Pathinathan, K. Ponnivalavan, and E. Mike Dison, “Different Types of Fuzzy Numbers and Certain Properties,” Journal of Computer
and Mathematical Science, 2015.
[Google Scholar]
[5] T. Pathinathan, and K. Ponnivalavan, “Pentagonal Fuzzy Numbers,” International Journal of Computing Algorithm, vol. 3, pp. 1003
1005, 2014.
[Google Scholar]
[6] Chhavi Jain, Rajesh Kumar Saini, and Atul Sangal, “Application of Trapezoidal Fuzzy Numbers in the Inventory Problem of Decision
Science,” Multicriteria Algorithms with Applications, vol. 3, pp. 1-14, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Nhung Cao, Martin Stepnicka, and Michal Holcapek, “An Extension of Fuzzy Relational Compositions Using Generalized Quantifiers,”
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and
Technology, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[8] L.A. Zadeh, “Fuzzy Sets,” Information and Control, vol. 8, no. 3, pp. 338-353, 1965.
[CrossRef] [Google Scholar] [Publisher Link]
Amit Kumar Mishra, Bijendra Kumar, Vikas Chandra Mishra, "A Study of Fuzzy Number and its Properties," International Journal of Mathematics Trends and Technology (IJMTT), vol. 71, no. 6, pp. 15-22, 2025. Crossref, https://doi.org/10.14445/22315373/IJMTT-V71I6P102
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