An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets
Abstract It is imperative to comprehensively evaluate the function, cost, performance and other indices when purchasing a hypertension follow-up (HFU) system for community hospitals. To select the best software product from multiple alternatives, in this paper, we develop a novel integrated group de...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2023-01-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-022-00953-w |
| _version_ | 1797769272395563008 |
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| author | Benting Wan Zhaopeng Hu Harish Garg Youyu Cheng Mengjie Han |
| author_facet | Benting Wan Zhaopeng Hu Harish Garg Youyu Cheng Mengjie Han |
| author_sort | Benting Wan |
| collection | DOAJ |
| description | Abstract It is imperative to comprehensively evaluate the function, cost, performance and other indices when purchasing a hypertension follow-up (HFU) system for community hospitals. To select the best software product from multiple alternatives, in this paper, we develop a novel integrated group decision-making (GDM) method for the quality evaluation of the system under the interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs). The design of our evaluation indices is based on the characteristics of the HFU system, which in turn represents the evaluation requirements of typical software applications and reflects the particularity of the system. A similarity is extended to measure the IVq-ROFNs, and a new score function is devised for distinguishing IVq-ROFNs to figure out the best IVq-ROFN. The weighted fairly aggregation (WFA) operator is then extended to the interval-valued q-rung orthopair WFA weighted average operator (IVq-ROFWFAWA) for aggregating information. The attribute weights are derived using the LINMAP model based on the similarity of IVq-ROFNs. We design a new expert weight deriving strategy, which makes each alternative have its own expert weight, and use the ARAS method to select the best alternative based on these weights. With these actions, a GDM algorithm that integrates the similarity, score function, IVq-ROFWFAWA operator, attribute weights, expert weights and ARAS is proposed. The applicability of the proposed method is demonstrated through a case study. Its effectiveness and feasibility are verified by comparing it to other state-of-the-art methods and operators. |
| first_indexed | 2024-03-12T21:06:31Z |
| format | Article |
| id | doaj.art-f62a02a3eb7245288cc325ed64ab172d |
| institution | Directory Open Access Journal |
| issn | 2199-4536 2198-6053 |
| language | English |
| last_indexed | 2024-03-12T21:06:31Z |
| publishDate | 2023-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Complex & Intelligent Systems |
| spelling | doaj.art-f62a02a3eb7245288cc325ed64ab172d2023-07-30T11:27:55ZengSpringerComplex & Intelligent Systems2199-45362198-60532023-01-01944521455410.1007/s40747-022-00953-wAn integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy setsBenting Wan0Zhaopeng Hu1Harish Garg2Youyu Cheng3Mengjie Han4Shenzhen Research Institute, Jiangxi University of Finance and EconomicsShenzhen Research Institute, Jiangxi University of Finance and EconomicsSchool of Mathematics, Thapar Institute of Engineering and Technology (Deemed University)Shenzhen Research Institute, Jiangxi University of Finance and EconomicsSchool of Information and Engineering, Dalarna UniversityAbstract It is imperative to comprehensively evaluate the function, cost, performance and other indices when purchasing a hypertension follow-up (HFU) system for community hospitals. To select the best software product from multiple alternatives, in this paper, we develop a novel integrated group decision-making (GDM) method for the quality evaluation of the system under the interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs). The design of our evaluation indices is based on the characteristics of the HFU system, which in turn represents the evaluation requirements of typical software applications and reflects the particularity of the system. A similarity is extended to measure the IVq-ROFNs, and a new score function is devised for distinguishing IVq-ROFNs to figure out the best IVq-ROFN. The weighted fairly aggregation (WFA) operator is then extended to the interval-valued q-rung orthopair WFA weighted average operator (IVq-ROFWFAWA) for aggregating information. The attribute weights are derived using the LINMAP model based on the similarity of IVq-ROFNs. We design a new expert weight deriving strategy, which makes each alternative have its own expert weight, and use the ARAS method to select the best alternative based on these weights. With these actions, a GDM algorithm that integrates the similarity, score function, IVq-ROFWFAWA operator, attribute weights, expert weights and ARAS is proposed. The applicability of the proposed method is demonstrated through a case study. Its effectiveness and feasibility are verified by comparing it to other state-of-the-art methods and operators.https://doi.org/10.1007/s40747-022-00953-wInterval-valued q-rung orthopairWFA operatorLINMAP-ARAS decision-making method |
| spellingShingle | Benting Wan Zhaopeng Hu Harish Garg Youyu Cheng Mengjie Han An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets Complex & Intelligent Systems Interval-valued q-rung orthopair WFA operator LINMAP-ARAS decision-making method |
| title | An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets |
| title_full | An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets |
| title_fullStr | An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets |
| title_full_unstemmed | An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets |
| title_short | An integrated group decision-making method for the evaluation of hypertension follow-up systems using interval-valued q-rung orthopair fuzzy sets |
| title_sort | integrated group decision making method for the evaluation of hypertension follow up systems using interval valued q rung orthopair fuzzy sets |
| topic | Interval-valued q-rung orthopair WFA operator LINMAP-ARAS decision-making method |
| url | https://doi.org/10.1007/s40747-022-00953-w |
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