Bounded Closed Interval-Valued Decagonal Fuzzy Number and its Application

In this paper, we introduced the notation of Algebraic operations of bounded closed interval-valued decagonal fuzzy number. To overcome the uncertainty here we used fuzzy numbers. Many researchers have focused their research with Triangular and Trapezoidal fuzzy numbers, in some cases it is not fit to the problem when the vagueness arises in ten different opinions so our motto is to develop the theorems for bounded closed interval using Algebraic operations such as Addition, Subtraction, Multiplication and Division via Decagonal Fuzzy Number.

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Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-10-18
DOI
https://doi.org/10.52783/cana.v32.2000
Primary Topic
Fuzzy Systems and Optimization
Type
article
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article

Bounded Closed Interval-Valued Decagonal Fuzzy Number and its Application

Tharmalingam Gunasekar
Communications on Applied Nonlinear Analysis
Fuzzy Systems and Optimization
article

Bounded Closed Interval-Valued Decagonal Fuzzy Number and its Application

Tharmalingam Gunasekar
article en

Abstract

In this paper, we introduced the notation of Algebraic operations of bounded closed interval-valued decagonal fuzzy number. To overcome the uncertainty here we used fuzzy numbers. Many researchers have focused their research with Triangular and Trapezoidal fuzzy numbers, in some cases it is not fit to the problem when the vagueness arises in ten different opinions so our motto is to develop the theorems for bounded closed interval using Algebraic operations such as Addition, Subtraction, Multiplication and Division via Decagonal Fuzzy Number.

Communications on Applied Nonlinear AnalysisVol. 32(3)
Openalex Percentile: Top 79%
Fuzzy Systems and Optimization
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Bounded Closed Interval-Valued Decagonal Fuzzy Number and its Application — Tharmalingam Gunasekar · Communications on Applied Nonlinear Analysis (2024) | TGRS Research Map | TGRS