Some Aczel–Alsina Power Aggregation Operators Based on Complex q-Rung Orthopair Fuzzy Set and Their Application in Multi-Attribute Group Decision-Making
The complex q-Rung orthopair fuzzy (Cq-ROF) sets are an extended version of the fuzzy sets and q-rung orthopair fuzzy circumstances. The Cq-ROF set carried extensive information about an object with two components: membership grade (MG) and non-membership grade (NMG). The MG and NMG enlarged the uni...
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| Format: | Article |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10283814/ |
| _version_ | 1827782552618795008 |
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| author | Muhammad Rizwan Khan Kifayat Ullah Tehreem Qaisar Khan Amrullah Awsar |
| author_facet | Muhammad Rizwan Khan Kifayat Ullah Tehreem Qaisar Khan Amrullah Awsar |
| author_sort | Muhammad Rizwan Khan |
| collection | DOAJ |
| description | The complex q-Rung orthopair fuzzy (Cq-ROF) sets are an extended version of the fuzzy sets and q-rung orthopair fuzzy circumstances. The Cq-ROF set carried extensive information about an object with two components: membership grade (MG) and non-membership grade (NMG). The MG and NMG enlarged the unit circle to a complex plane. The decision maker evaluates complex and complicated information more accurately considering the Cq-ROF domain. This article aims to present the importance of energy sources, and we discuss the application for the selection of a suitable company selection for dam construction. Dams are the most appropriate and cheap sources to produce electricity. Now, the day’s importance of electricity is not ignorable. So, construct the multi-attribute group decision-making (MAGDM) methodology by utilizing Aczel-Alsina (AA) t-norm (TN) and t-conorm (TCN) operational laws with power aggregation operators (PAO) to solve the appropriate company selection problem for dam construction. PAO provides more accurate aggregation results between the several attributes. Finally, we define the Cq-ROF Aczel-Alsina power-weighted averaging (Cq-ROFAAPWA) and aggregation Cq-ROF Aczel-Alsina power-weighted geometric (Cq-ROFAAPWG) operators. Also, some fundamental axioms are discussed. By applying the proposed Cq-ROFAAPWA and Cq-ROFAAPWG operators, solve the real-life MAGDM problematic issue through a numerical example. For the superiority and applicability of proposed techniques, provide a comprehensive comparative analysis with other prevailing aggregation operators (AOs). In the end, provide solid conclusions. |
| first_indexed | 2024-03-11T15:34:41Z |
| format | Article |
| id | doaj.art-0785595a9efd4de388ce60498255a7c7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T15:34:41Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0785595a9efd4de388ce60498255a7c72023-10-26T23:01:00ZengIEEEIEEE Access2169-35362023-01-011111511011512510.1109/ACCESS.2023.332406710283814Some Aczel–Alsina Power Aggregation Operators Based on Complex q-Rung Orthopair Fuzzy Set and Their Application in Multi-Attribute Group Decision-MakingMuhammad Rizwan Khan0Kifayat Ullah1https://orcid.org/0000-0002-1438-6413 Tehreem2https://orcid.org/0000-0003-0574-4749Qaisar Khan3Amrullah Awsar4Department of Mathematics, Riphah International University Lahore, Lahore, PakistanDepartment of Mathematics, Riphah International University Lahore, Lahore, PakistanDepartment of Mathematics, Faculty of Basic and Applied Sciences, Air University, Islamabad, PakistanDepartment of Mathematics and Statistics, University of Haripur, Haripur, PakistanDepartment of Higher Mathematics, Kabul Polytechnic University, Kabul, AfghanistanThe complex q-Rung orthopair fuzzy (Cq-ROF) sets are an extended version of the fuzzy sets and q-rung orthopair fuzzy circumstances. The Cq-ROF set carried extensive information about an object with two components: membership grade (MG) and non-membership grade (NMG). The MG and NMG enlarged the unit circle to a complex plane. The decision maker evaluates complex and complicated information more accurately considering the Cq-ROF domain. This article aims to present the importance of energy sources, and we discuss the application for the selection of a suitable company selection for dam construction. Dams are the most appropriate and cheap sources to produce electricity. Now, the day’s importance of electricity is not ignorable. So, construct the multi-attribute group decision-making (MAGDM) methodology by utilizing Aczel-Alsina (AA) t-norm (TN) and t-conorm (TCN) operational laws with power aggregation operators (PAO) to solve the appropriate company selection problem for dam construction. PAO provides more accurate aggregation results between the several attributes. Finally, we define the Cq-ROF Aczel-Alsina power-weighted averaging (Cq-ROFAAPWA) and aggregation Cq-ROF Aczel-Alsina power-weighted geometric (Cq-ROFAAPWG) operators. Also, some fundamental axioms are discussed. By applying the proposed Cq-ROFAAPWA and Cq-ROFAAPWG operators, solve the real-life MAGDM problematic issue through a numerical example. For the superiority and applicability of proposed techniques, provide a comprehensive comparative analysis with other prevailing aggregation operators (AOs). In the end, provide solid conclusions.https://ieeexplore.ieee.org/document/10283814/q-rung orthopair fuzzy setcomplex q-rung orthopair fuzzy setmulti-attribute group decision-makingAczel-Alsina t-norm and t-conormaggregation operators |
| spellingShingle | Muhammad Rizwan Khan Kifayat Ullah Tehreem Qaisar Khan Amrullah Awsar Some Aczel–Alsina Power Aggregation Operators Based on Complex q-Rung Orthopair Fuzzy Set and Their Application in Multi-Attribute Group Decision-Making IEEE Access q-rung orthopair fuzzy set complex q-rung orthopair fuzzy set multi-attribute group decision-making Aczel-Alsina t-norm and t-conorm aggregation operators |
| title | Some Aczel–Alsina Power Aggregation Operators Based on Complex q-Rung Orthopair Fuzzy Set and Their Application in Multi-Attribute Group Decision-Making |
| title_full | Some Aczel–Alsina Power Aggregation Operators Based on Complex q-Rung Orthopair Fuzzy Set and Their Application in Multi-Attribute Group Decision-Making |
| title_fullStr | Some Aczel–Alsina Power Aggregation Operators Based on Complex q-Rung Orthopair Fuzzy Set and Their Application in Multi-Attribute Group Decision-Making |
| title_full_unstemmed | Some Aczel–Alsina Power Aggregation Operators Based on Complex q-Rung Orthopair Fuzzy Set and Their Application in Multi-Attribute Group Decision-Making |
| title_short | Some Aczel–Alsina Power Aggregation Operators Based on Complex q-Rung Orthopair Fuzzy Set and Their Application in Multi-Attribute Group Decision-Making |
| title_sort | some aczel x2013 alsina power aggregation operators based on complex q rung orthopair fuzzy set and their application in multi attribute group decision making |
| topic | q-rung orthopair fuzzy set complex q-rung orthopair fuzzy set multi-attribute group decision-making Aczel-Alsina t-norm and t-conorm aggregation operators |
| url | https://ieeexplore.ieee.org/document/10283814/ |
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