Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems

Hamacher aggregation operators are more flexible and more dominant to determine the interrelationships between any number of attributes. The goal of this manuscript is to elaborate on the principle of linear Diophantine uncertain linguistic sets and explored their useful Hamacher operational laws. T...

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Main Authors: Izatmand, Tahir Mahmood, Zeeshan Ali, Muhammad Aslam, Ronnason Chinram
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9529203/
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author Izatmand
Tahir Mahmood
Zeeshan Ali
Muhammad Aslam
Ronnason Chinram
author_facet Izatmand
Tahir Mahmood
Zeeshan Ali
Muhammad Aslam
Ronnason Chinram
author_sort Izatmand
collection DOAJ
description Hamacher aggregation operators are more flexible and more dominant to determine the interrelationships between any number of attributes. The goal of this manuscript is to elaborate on the principle of linear Diophantine uncertain linguistic sets and explored their useful Hamacher operational laws. The existing notions of intuitionistic uncertain linguistic sets, Pythagorean uncertain linguistic sets, and q-rung orthopair uncertain linguistic sets have certain applications in different fields. Unfortunately, these theories have their limitations related to the truth and falsity grades. To eradicate these limitations, the theory of linear Diophantine uncertain linguistic sets with the addition of reference parameters is massive flexible than the existing drawbacks. This notion removes the restrictions of prevailing methodologies, and the decision-maker can freely choose the grades without any limitations. This structure also categorizes the problem by changing the physical sense of reference parameters. Moreover, by using the investigated linear Diophantine uncertain linguistic information and Hamacher aggregation operators, we explored the linear Diophantine uncertain linguistic generalized Hamacher averaging operator and linear Diophantine uncertain linguistic generalized Hamacher hybrid averaging operator. Additionally, a multi-attribute decision-making (MADM) procedure is buildup based on the investigated operators under the linear Diophantine uncertain linguistic information. Certain numerical examples are illustrated by using initiated operators to determine the dominance and flexibility of explored operators. To find the consistency and supremacy of the presented operators, we compare the proposed work with certain prevailing operators and discussed their geometrical expressions to show that the introduced operators in this manuscript are extensively powerful and more useful than the prevailing drawbacks.
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spelling doaj.art-7cc03fcce94442c8ad3e8b8aae2a0f412022-12-22T03:47:07ZengIEEEIEEE Access2169-35362021-01-01912674812676410.1109/ACCESS.2021.31102739529203Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems Izatmand0Tahir Mahmood1https://orcid.org/0000-0002-3871-3845Zeeshan Ali2Muhammad Aslam3Ronnason Chinram4https://orcid.org/0000-0002-6113-3689Department of Mathematics and Statistics, International Islamic University Islamabad, Islamabad, PakistanDepartment of Mathematics and Statistics, International Islamic University Islamabad, Islamabad, PakistanDepartment of Mathematics and Statistics, International Islamic University Islamabad, Islamabad, PakistanDepartment of Mathematics, College of Sciences, King Khalid University, Abha, Saudi ArabiaDivision of Computational Science, Faculty of Science, Algebra and Applications Research Unit, Prince of Songkla University, Hat Yai, Songkhla, ThailandHamacher aggregation operators are more flexible and more dominant to determine the interrelationships between any number of attributes. The goal of this manuscript is to elaborate on the principle of linear Diophantine uncertain linguistic sets and explored their useful Hamacher operational laws. The existing notions of intuitionistic uncertain linguistic sets, Pythagorean uncertain linguistic sets, and q-rung orthopair uncertain linguistic sets have certain applications in different fields. Unfortunately, these theories have their limitations related to the truth and falsity grades. To eradicate these limitations, the theory of linear Diophantine uncertain linguistic sets with the addition of reference parameters is massive flexible than the existing drawbacks. This notion removes the restrictions of prevailing methodologies, and the decision-maker can freely choose the grades without any limitations. This structure also categorizes the problem by changing the physical sense of reference parameters. Moreover, by using the investigated linear Diophantine uncertain linguistic information and Hamacher aggregation operators, we explored the linear Diophantine uncertain linguistic generalized Hamacher averaging operator and linear Diophantine uncertain linguistic generalized Hamacher hybrid averaging operator. Additionally, a multi-attribute decision-making (MADM) procedure is buildup based on the investigated operators under the linear Diophantine uncertain linguistic information. Certain numerical examples are illustrated by using initiated operators to determine the dominance and flexibility of explored operators. To find the consistency and supremacy of the presented operators, we compare the proposed work with certain prevailing operators and discussed their geometrical expressions to show that the introduced operators in this manuscript are extensively powerful and more useful than the prevailing drawbacks.https://ieeexplore.ieee.org/document/9529203/Generalized Hamacher aggregation operatorslinear Diophantine uncertain linguistic setsmulti-attribute decision-making problems
spellingShingle Izatmand
Tahir Mahmood
Zeeshan Ali
Muhammad Aslam
Ronnason Chinram
Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems
IEEE Access
Generalized Hamacher aggregation operators
linear Diophantine uncertain linguistic sets
multi-attribute decision-making problems
title Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems
title_full Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems
title_fullStr Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems
title_full_unstemmed Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems
title_short Generalized Hamacher Aggregation Operators Based on Linear Diophantine Uncertain Linguistic Setting and Their Applications in Decision-Making Problems
title_sort generalized hamacher aggregation operators based on linear diophantine uncertain linguistic setting and their applications in decision making problems
topic Generalized Hamacher aggregation operators
linear Diophantine uncertain linguistic sets
multi-attribute decision-making problems
url https://ieeexplore.ieee.org/document/9529203/
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AT tahirmahmood generalizedhamacheraggregationoperatorsbasedonlineardiophantineuncertainlinguisticsettingandtheirapplicationsindecisionmakingproblems
AT zeeshanali generalizedhamacheraggregationoperatorsbasedonlineardiophantineuncertainlinguisticsettingandtheirapplicationsindecisionmakingproblems
AT muhammadaslam generalizedhamacheraggregationoperatorsbasedonlineardiophantineuncertainlinguisticsettingandtheirapplicationsindecisionmakingproblems
AT ronnasonchinram generalizedhamacheraggregationoperatorsbasedonlineardiophantineuncertainlinguisticsettingandtheirapplicationsindecisionmakingproblems