On Arithmetic Operations of $LR$ Fuzzy Numbers With Different Shape Functions

In this article, the common arithmetic operations of left–right (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula>) fuzzy numbers are extended to cases where the left and right shape functions of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula> fuzzy numbers are different. Extending arithmetic operations to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula> fuzzy numbers with different left and right shape functions offers several advantages, including a more realistic representation of uncertainty, enhanced expressiveness, flexibility in modeling, improved accuracy, compatibility with real data, and robustness in decision-making. These benefits make such extensions valuable in various applications where uncertainty plays an important role. The addition, difference, multiplication, and division of such <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula> fuzzy numbers are defined as <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula> fuzzy numbers. It is shown that the proposed arithmetic operations satisfy main properties, such as the distributive property of the multiplication operator over addition. The results of these new operators are examined through a numerical evaluation.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Fuzzy Systems
Published
2024-08-29
DOI
https://doi.org/10.1109/tfuzz.2024.3447081
Citations
5
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
2.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On Arithmetic Operations of $LR$ Fuzzy Numbers With Different Shape Functions

Gholamreza Hesamian, Arne Johannssen
5 citations
IEEE Transactions on Fuzzy Systems
Multi-Criteria Decision Making
2.45
article

On Arithmetic Operations of $LR$ Fuzzy Numbers With Different Shape Functions

Gholamreza Hesamian, Arne Johannssen
article en
5 citations

Abstract

In this article, the common arithmetic operations of left–right (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula>) fuzzy numbers are extended to cases where the left and right shape functions of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula> fuzzy numbers are different. Extending arithmetic operations to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula> fuzzy numbers with different left and right shape functions offers several advantages, including a more realistic representation of uncertainty, enhanced expressiveness, flexibility in modeling, improved accuracy, compatibility with real data, and robustness in decision-making. These benefits make such extensions valuable in various applications where uncertainty plays an important role. The addition, difference, multiplication, and division of such <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula> fuzzy numbers are defined as <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$LR$</tex-math></inline-formula> fuzzy numbers. It is shown that the proposed arithmetic operations satisfy main properties, such as the distributive property of the multiplication operator over addition. The results of these new operators are examined through a numerical evaluation.

IEEE Transactions on Fuzzy SystemsVol. 32(11)
Payame Noor University (IR), Harz University of Applied Sciences (DE)
Openalex Percentile: Top 10%
Multi-Criteria Decision Making
2.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.