Dynamic bipolar fuzzy aggregation operators: A novel approach for emerging technology selection in enterprise integration
Emerging technology selection is crucial for enterprise integration, driving innovation, competitiveness, and streamlining operations across diverse sectors like finance and healthcare. However, the decision-making process for technology adoption is often complex and fraught with uncertainties. Bipo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2024-01-01
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| Series: | AIMS Mathematics |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2024261?viewType=HTML |
| _version_ | 1827347561862660096 |
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| author | Dilshad Alghazzawi Sajida Abbas Hanan Alolaiyan Hamiden Abd El-Wahed Khalifa Alhanouf Alburaikan Qin Xin Abdul Razaq |
| author_facet | Dilshad Alghazzawi Sajida Abbas Hanan Alolaiyan Hamiden Abd El-Wahed Khalifa Alhanouf Alburaikan Qin Xin Abdul Razaq |
| author_sort | Dilshad Alghazzawi |
| collection | DOAJ |
| description | Emerging technology selection is crucial for enterprise integration, driving innovation, competitiveness, and streamlining operations across diverse sectors like finance and healthcare. However, the decision-making process for technology adoption is often complex and fraught with uncertainties. Bipolar fuzzy sets offer a nuanced representation of uncertainty, allowing for simultaneous positive and negative membership degrees, making them valuable in decision-making and expert systems. In this paper, we introduce dynamic averaging and dynamic geometric operators under bipolar fuzzy environment. We also establish some of the fundamental crucial features of these operators. Moreover, we present a step by step mechanism to solve MADM problem under bipolar fuzzy dynamic aggregation operators. In addition, these new techniques are successfully applied for the selection of the most promising emerging technology for enterprise integration. Finally, a comparative study is conducted to show the validity and practicability of the proposed techniques in comparison to existing methods. |
| first_indexed | 2024-03-07T23:53:27Z |
| format | Article |
| id | doaj.art-e165f6efb8a047db84b4a3dfd4caf9b2 |
| institution | Directory Open Access Journal |
| issn | 2473-6988 |
| language | English |
| last_indexed | 2024-03-07T23:53:27Z |
| publishDate | 2024-01-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Mathematics |
| spelling | doaj.art-e165f6efb8a047db84b4a3dfd4caf9b22024-02-19T01:28:50ZengAIMS PressAIMS Mathematics2473-69882024-01-01935407543010.3934/math.2024261Dynamic bipolar fuzzy aggregation operators: A novel approach for emerging technology selection in enterprise integrationDilshad Alghazzawi 0Sajida Abbas1Hanan Alolaiyan 2Hamiden Abd El-Wahed Khalifa3Alhanouf Alburaikan4Qin Xin5Abdul Razaq61. Department of Mathematics, College of Science & Arts, King Abdul Aziz University, Rabigh, Saudi Arabia2. Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54770, Pakistan3. Department of Mathematics, King Saud University, Riyadh, Saudi Arabia4. Department of Mathematics, College of Science and Arts, Qassim University, Al-Badaya 51951, Saudi Arabia 5. Department of Operations and Management Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza 12613, Egypt4. Department of Mathematics, College of Science and Arts, Qassim University, Al-Badaya 51951, Saudi Arabia6. Faculty of Science and Technology, University of the Faroe Islands, Vestara Bryggja 15, FO 100 Torshavn, Faroe Islands, Denmark2. Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54770, PakistanEmerging technology selection is crucial for enterprise integration, driving innovation, competitiveness, and streamlining operations across diverse sectors like finance and healthcare. However, the decision-making process for technology adoption is often complex and fraught with uncertainties. Bipolar fuzzy sets offer a nuanced representation of uncertainty, allowing for simultaneous positive and negative membership degrees, making them valuable in decision-making and expert systems. In this paper, we introduce dynamic averaging and dynamic geometric operators under bipolar fuzzy environment. We also establish some of the fundamental crucial features of these operators. Moreover, we present a step by step mechanism to solve MADM problem under bipolar fuzzy dynamic aggregation operators. In addition, these new techniques are successfully applied for the selection of the most promising emerging technology for enterprise integration. Finally, a comparative study is conducted to show the validity and practicability of the proposed techniques in comparison to existing methods.https://www.aimspress.com/article/doi/10.3934/math.2024261?viewType=HTMLbipolar fuzzy setsbipolar fuzzy dynamic weighted averaging (bfdwa) operatorbipolar fuzzy dynamic weighted geometric (bfdwg) operatordecision makingoptimizationalgorithms |
| spellingShingle | Dilshad Alghazzawi Sajida Abbas Hanan Alolaiyan Hamiden Abd El-Wahed Khalifa Alhanouf Alburaikan Qin Xin Abdul Razaq Dynamic bipolar fuzzy aggregation operators: A novel approach for emerging technology selection in enterprise integration AIMS Mathematics bipolar fuzzy sets bipolar fuzzy dynamic weighted averaging (bfdwa) operator bipolar fuzzy dynamic weighted geometric (bfdwg) operator decision making optimization algorithms |
| title | Dynamic bipolar fuzzy aggregation operators: A novel approach for emerging technology selection in enterprise integration |
| title_full | Dynamic bipolar fuzzy aggregation operators: A novel approach for emerging technology selection in enterprise integration |
| title_fullStr | Dynamic bipolar fuzzy aggregation operators: A novel approach for emerging technology selection in enterprise integration |
| title_full_unstemmed | Dynamic bipolar fuzzy aggregation operators: A novel approach for emerging technology selection in enterprise integration |
| title_short | Dynamic bipolar fuzzy aggregation operators: A novel approach for emerging technology selection in enterprise integration |
| title_sort | dynamic bipolar fuzzy aggregation operators a novel approach for emerging technology selection in enterprise integration |
| topic | bipolar fuzzy sets bipolar fuzzy dynamic weighted averaging (bfdwa) operator bipolar fuzzy dynamic weighted geometric (bfdwg) operator decision making optimization algorithms |
| url | https://www.aimspress.com/article/doi/10.3934/math.2024261?viewType=HTML |
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