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Cao B, Jin Y, Ulutaş A, Topal A, Stević Ž, Karabasevic D, Sava C. A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection. PeerJ Comput Sci 2024; 10:e2096. [PMID: 38983217 PMCID: PMC11232603 DOI: 10.7717/peerj-cs.2096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 05/13/2024] [Indexed: 07/11/2024]
Abstract
Enterprise resource planning (ERP) is widely used to boost the total market power of businesses. The wrong selection is one of the key reasons why ERP installations fail. Due to the complexity of the business environment and the range of ERP systems, choosing an ERP system is a complex and time-consuming procedure. ERP alternatives may be assessed using several criteria, so the ERP selection process may be considered a multi-criteria decision-making (MCDM) problem. In this study, the rough best worst method (BWM) was used to determine criteria weights, while the newly developed rough integrated simple weighted sum product (WISP) was used to rank ERP alternatives. Results suggest that the SFT-4 coded software is regarded as the best option, followed by SFT-5, SFT-6, SFT-2, SFT-3, and SFT-1. Results of the newly developed rough WISP method are compared to those of existing rough techniques in the sensitivity analysis. The differences between them have been found to be negligible. The outcomes show how effectively developed rough BWM and WISP integrated method performs in terms of ERP selection with usability, accuracy, ease of use, and consistency. This study will help decision-makers in a context where ERP is implemented choose the best ERP software for different sectors.
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Affiliation(s)
- Bing Cao
- School of Economics and Management, Dezhou University, Dezhou, China
- School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
| | - Yongsheng Jin
- School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
| | - Alptekin Ulutaş
- Department of International Trade and Business, Inonu University, Malatya, Turkey
| | - Ayse Topal
- Department of Business, Nigde Omer Halisdemir University, Nigde, Turkey
| | - Željko Stević
- Faculty of Transport and Traffic Engineering, University of East Sarajevo, Doboj, Bosnia and Herzegovina
- School of Industrial Management Engineering, Korea University, Seoul, Republic of South Korea
| | - Darjan Karabasevic
- Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade, Serbia
| | - Cipriana Sava
- Faculty of Computers and Applied Informatics, "TIBISCUS" University of Timişoara, Timişoara, Romania
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2
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Ahmad T, Rahim M, Yang J, Alharbi R, Abd El-Wahed Khalifa H. Development of p,q- quasirung orthopair fuzzy hamacher aggregation operators and its application in decision-making problems. Heliyon 2024; 10:e24726. [PMID: 38318055 PMCID: PMC10838738 DOI: 10.1016/j.heliyon.2024.e24726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 12/27/2023] [Accepted: 01/12/2024] [Indexed: 02/07/2024] Open
Abstract
The concept of p , q - quasirung orthopair fuzzy (p , q - QOF) sets is an advanced extension of q - rung orthopair fuzzy sets (q - ROFSs). This paper introduces the adaptation of Hamacher t-norm and t-conorm to the p , q - QOF environment. A series of Hamacher aggregation operators (AOs) and their associated properties are presented. This study extends its application to multi-criteria group decision-making (MCGDM) for practical problem-solving, illustrated through the analysis of mobile payment platforms. The influence of the aggregation operator parameters, denoted as p and q , on the outcomes of decisions is effectively showcased. Moreover, a comparative analysis is carried out to validate the credibility and authenticity of the proposed model. Finally, the advantages and limitations of the proposed model are outlined.
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Affiliation(s)
- Touqeer Ahmad
- School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China
| | - Muhammad Rahim
- Deparament of Mathematics, Hazara University, Mansehra 21300, PKP, Pakistan
| | - Jie Yang
- School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China
| | - Rabab Alharbi
- Department of Mathematics, College of Science and Arts, Qassim University, Ar Rass 51452, Saudi Arabia
| | - Hamiden Abd El-Wahed Khalifa
- Department of Mathematics, College of Science and Arts, Qassim University, Al-Badaya 51951, Saudi Arabia
- Department of Operations and Management Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza 12613, Egypt
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3
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Riaz M, Farid HMA, Razzaq A, Simic V. A new approach to sustainable logistic processes with q-rung orthopair fuzzy soft information aggregation. PeerJ Comput Sci 2023; 9:e1527. [PMID: 37705646 PMCID: PMC10495956 DOI: 10.7717/peerj-cs.1527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 07/20/2023] [Indexed: 09/15/2023]
Abstract
In recent years, as corporate consciousness of environmental preservation and sustainable growth has increased, the importance of sustainability marketing in the logistic process has grown. Both academics and business have increased their focus on sustainable logistics procedures. As the body of literature expands, expanding the field's knowledge requires establishing new avenues by analyzing past research critically and identifying future prospects. The concept of "q-rung orthopair fuzzy soft set" (q-ROFSS) is a new hybrid model of a q-rung orthopair fuzzy set (q-ROFS) and soft set (SS). A q-ROFSS is a novel approach to address uncertain information in terms of generalized membership grades in a broader space. The basic alluring characteristic of q-ROFS is that they provide a broader space for membership and non-membership grades whereas SS is a robust approach to address uncertain information. These models play a vital role in various fields such as decision analysis, information analysis, computational intelligence, and artificial intelligence. The main objective of this article is to construct new aggregation operators (AOs) named "q-rung orthopair fuzzy soft prioritized weighted averaging" (q-ROFSPWA) operator and "q-rung orthopair fuzzy soft prioritized weighted geometric" (q-ROFSPWG) operator for the fusion of a group of q-rung orthopair fuzzy soft numbers and to tackle complexities and difficulties in existing operators. These AOs provide more effective information fusion tools for uncertain multi-attribute decision-making problems. Additionally, it was shown that the proposed AOs have a higher power of discriminating and are less sensitive to noise when it comes to evaluating the performances of sustainable logistic providers.
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Affiliation(s)
- Muhammad Riaz
- Department of Mathematics, University of the Punjab, Lahore, Punjab, Pakistan
| | | | - Ayesha Razzaq
- Department of Mathematics, University of the Punjab, Lahore, Punjab, Pakistan
| | - Vladimir Simic
- Faculty of Transport and Traffic Engineering, University of Belgrade, Belgrade, Serbia
- College of Engineering, Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan, Taiwan
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4
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Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment. Symmetry (Basel) 2023. [DOI: 10.3390/sym15010205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Due to insufficient healthcare facilities for the fight against cancer, a large percentage of individuals die. Utilizing computational tools inside the health and medical system helps to minimize fatalities. Timely cancer detection enhances the likelihood of effective therapy. Cancer risk assessment is important for legal and regulatory reasons, for cancer prevention, and to avoid the risks. The approach for assessing cancer risk based on the q-rung orthopair fuzzy set (q-ROFS) is described. The technique is predicated on a multifactor evaluation of the likelihood of a cancerous. q-ROFS is a robust approach for modeling uncertainties in multicriteria decision making (MCDM). The combinative distance-based assessment (CODAS) technique integrates two separate approaches, namely the “simple additive weighting” (SAW) method and the “weighted product method (WPM)”. In this study, the CODAS approach is extended to the q-rung orthopair fuzzy framework with application to cancer risk assessment. Additionally, the symmetry of the optimal decision in cancer risk assessment is carried out by a comparison analysis of the suggested model with some existing models.
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5
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Kumar M, Gupta SK. Multicriteria decision-making based on the confidence level Q-rung orthopair normal fuzzy aggregation operator. GRANULAR COMPUTING 2022. [DOI: 10.1007/s41066-022-00314-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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6
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Shao Y, Wang N, Gong Z. Multicriteria q-Rung orthopair fuzzy decision analysis: a novel approach based on Archimedean aggregation operators with the confidence levels. Soft comput 2022. [DOI: 10.1007/s00500-022-06776-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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7
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Ali Z, Mahmood T, Ullah K, Chinram R. Confidence levels under complex q-rung orthopair fuzzy aggregation operators and their applications. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-211840] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The major contribution of this analysis is to analyze the confidence complex q-rung orthopair fuzzy weighted averaging (CCQROFWA) operator, confidence complex q-rung orthopair fuzzy ordered weighted averaging (CCQROFOWA) operator, confidence complex q-rung orthopair fuzzy weighted geometric (CCQROFWG) operator, and confidence complex q-rung orthopair fuzzy ordered weighted geometric (CCQROFOWG) operator and invented their feasible properties and related results. Future more, under the invented operators, we diagnosed the best crystalline solid from the family of crystalline solids with the help of the opinion of different experts in the environment of decision-making strategy. Finally, to demonstrate the feasibility and flexibility of the invented works, we explored the sensitivity analysis and graphically shown of the initiated works.
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Affiliation(s)
- Zeeshan Ali
- Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan
| | - Tahir Mahmood
- Department of Mathematics & Statistics, International Islamic University Islamabad, Pakistan
| | - Kifayat Ullah
- Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Riphah International University Lahore, Lahore, Pakistan
| | - Ronnason Chinram
- Division of Computational Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand
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Ashraf S, Rehman N, Hussain A, AlSalman H, Gumaei AH. q-Rung Orthopair Fuzzy Rough Einstein Aggregation Information-Based EDAS Method: Applications in Robotic Agrifarming. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2021; 2021:5520264. [PMID: 34751227 PMCID: PMC8572123 DOI: 10.1155/2021/5520264] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 09/27/2021] [Indexed: 11/17/2022]
Abstract
The main purpose of this manuscript is to present a novel idea on the q-rung orthopair fuzzy rough set (q-ROFRS) by the hybridized notion of q-ROFRSs and rough sets (RSs) and discuss its basic operations. Furthermore, by utilizing the developed concept, a list of q-ROFR Einstein weighted averaging and geometric aggregation operators are presented which are based on algebraic and Einstein norms. Similarly, some interesting characteristics of these operators are initiated. Moreover, the concept of the entropy and distance measures is presented to utilize the decision makers' unknown weights as well as attributes' weight information. The EDAS (evaluation based on distance from average solution) methodology plays a crucial role in decision-making challenges, especially when the problems of multicriteria group decision-making (MCGDM) include more competing criteria. The core of this study is to develop a decision-making algorithm based on the entropy measure, aggregation information, and EDAS methodology to handle the uncertainty in real-word decision-making problems (DMPs) under q-rung orthopair fuzzy rough information. To show the superiority and applicability of the developed technique, a numerical case study of a real-life DMP in agriculture farming is considered. Findings indicate that the suggested decision-making model is much more efficient and reliable to tackle uncertain information based on q-ROFR information.
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Affiliation(s)
- Shahzaib Ashraf
- Department of Mathematics and Statistics, Bacha Khan University, Charsadda 24420, Khyber Pakhtunkhwa, Pakistan
| | - Noor Rehman
- Department of Mathematics and Statistics, Bacha Khan University, Charsadda 24420, Khyber Pakhtunkhwa, Pakistan
| | - Azmat Hussain
- Department of Mathematics and Statistics, International Islamic University, Isalambad, Pakistan
| | - Hussain AlSalman
- Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
| | - Abdu H. Gumaei
- Computer Science Department, Faculty of Applied Sciences, Taiz University, Taiz 6803, Yemen
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9
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Farid HMA, Riaz M. Some generalized q‐rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws. INT J INTELL SYST 2021. [DOI: 10.1002/int.22587] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
| | - Muhammad Riaz
- Department of Mathematics University of the Punjab Lahore Pakistan
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10
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Alkan N, Kahraman C. Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method. Appl Soft Comput 2021; 110:107653. [PMID: 34226821 PMCID: PMC8241659 DOI: 10.1016/j.asoc.2021.107653] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 05/12/2021] [Accepted: 06/22/2021] [Indexed: 12/14/2022]
Abstract
The COVID-19 outbreak, which emerged in China and continues to spread rapidly all over the world, has brought with it increasing numbers of cases and deaths. Governments have suffered serious damage and losses not only in the field of health but also in many other fields. This has directed governments to adopt and implement various strategies in their communities. However, only a few countries succeed partially from the strategies implemented while other countries have failed. In this context, it is necessary to identify the most important strategy that should be implemented by governments. A decision problem based on the decisions of many experts, with some contradictory and multiple criteria, should be taken into account in order to evaluate the multiple strategies implemented by various governments. In this study, this decision process is considered as a multi-criteria decision making (MCDM) problem that also takes into account uncertainty. For this purpose, q-rung orthopair fuzzy sets (q-ROFSs) are used to allow decision-makers to their assessments in a wider space and to better deal with ambiguous information. Accordingly, two different Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches are recommended under the q-ROFS environment and applied to determine the most appropriate strategy. The results of the proposed approaches determine the A1 — Mandatory quarantine and strict isolation strategy as the best strategy. Comparisons with other q-rung orthopair fuzzy MCDM methods and intuitionistic fuzzy TOPSIS method are also presented for the validation of the proposed methods. Besides, sensitivity analyses are conducted to check the robustness of the proposed approaches and to observe the effect of the change in the q parameter.
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Affiliation(s)
- Nurşah Alkan
- Istanbul Technical University, Industrial Engineering Department, 34367 Macka, Istanbul, Turkey
| | - Cengiz Kahraman
- Istanbul Technical University, Industrial Engineering Department, 34367 Macka, Istanbul, Turkey
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11
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Akram M, Shahzadi G, Butt MA, Karaaslan F. A hybrid decision making method based on q-rung orthopair fuzzy soft information. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-202336] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Soft set (SfS) theory is a basic tool to handle vague information with parameterized study during the process as compared to fuzzy as well as q-rung orthopair fuzzy theory. This research article is devoted to establish some general aggregation operators (AOs), based on Yager’s norm operations, to cumulate the q-rung orthopair fuzzy soft data in decision making environments. In this article, the valuable properties of q-rung orthopair fuzzy soft set (q - ROFSfS) are merged with the Yager operator to propose four new operators, namely, q-rung orthopair fuzzy soft Yager weighted average (q - ROFSfYWA), q-rung orthopair fuzzy soft Yager ordered weighted average (q - ROFSfYOWA), q-rung orthopair fuzzy soft Yager weighted geometric (q - ROFSfYWG) and q-rung orthopair fuzzy soft Yager ordered weighted geometric (q - ROFSfYOWG) operators. The dominant properties of proposed operators are elaborated. To emphasize the importance of proposed operators, a multi-attribute group decision making (MAGDM) strategy is presented along with an application in medical diagnosis. The comparative study shows superiorities of the proposed operators and limitations of the existing operators. The comparison with Pythagorean fuzzy TOPSIS (PF-TOSIS) method shows that PF-TOPSIS method cannot deal with data involving parametric study but developed operators have the ability to deal with decision making problems using parameterized information.
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Affiliation(s)
- Muhammad Akram
- Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
| | - Gulfam Shahzadi
- Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
| | - Muhammad Arif Butt
- Department of Mathematics, Punjab University College of Information Technology, University of the Punjab, Old Campus, Lahore, Pakistan
| | - Faruk Karaaslan
- Department of Mathematics, Faculty of Sciences, Çankırı Karatekin University, Çankırı, Turkey
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12
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Liu Y, Wei G, Abdullah S, Liu J, Xu L, Liu H. Banzhaf–Choquet-copula-based aggregation operators for managing q-rung orthopair fuzzy information. Soft comput 2021. [DOI: 10.1007/s00500-021-05714-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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13
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Abstract
Open banking (OB) is an emerging business field in the financial sector, which relies on intensive collaboration between banks and non-banking service providers. However, how to evaluate OB business partners from multiple perspectives for banks is underexplored. Therefore, this study proposed a hybrid decision model with supports from seasoned domain experts. This study also adopts a domestic bank from Taiwan and four non-banking service providers to illustrate the hybrid approach with the confidence-weighted fuzzy assessment technique. The proposed model might be the first attempt to explore the OB adoption strategy by the novel approach. However, its limitations are the presumed independent relationship among the factors of this hybrid model. Additionally, the results hinge upon domain experts’ knowledge. In practice, the research findings identify the relative importance of banks’ crucial factors to select OB strategic partners, which provide managerial insights and valuable guidance for the banking sector.
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14
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Akram M, Shahzadi G, Shahzadi S. Protraction of Einstein operators for decision-making under q-rung orthopair fuzzy model. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-201611] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
An q-rung orthopair fuzzy set is a generalized structure that covers the modern extensions of fuzzy set, including intuitionistic fuzzy set and Pythagorean fuzzy set, with an adjustable parameter q that makes it flexible and adaptable to describe the inexact information in decision making. The condition of q-rung orthopair fuzzy set, i.e., sum of qth power of membership degree and nonmembership degree is bounded by one, makes it highly competent and adequate to get over the limitations of existing models. The basic purpose of this study is to establish some aggregation operators under the q-rung orthopair fuzzy environment with Einstein norm operations. Motivated by innovative features of Einstein operators and dominant behavior of q-rung orthopair fuzzy set, some new aggregation operators, namely, q-rung orthopair fuzzy Einstein weighted averaging, q-rung orthopair fuzzy Einstein ordered weighted averaging, generalized q-rung orthopair fuzzy Einstein weighted averaging and generalized q-rung orthopair fuzzy Einstein ordered weighted averaging operators are defined. Furthermore, some properties related to proposed operators are presented. Moreover, multi-attribute decision making problems related to career selection, agriculture land selection and residential place selection are presented under these operators to show the capability and proficiency of this new idea. The comparison analysis with existing theories shows the superiorities of proposed model.
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Affiliation(s)
- Muhammad Akram
- Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
| | - Gulfam Shahzadi
- Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
| | - Sundas Shahzadi
- Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan
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15
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16
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Shahzadi G, Akram M. Group decision-making for the selection of an antivirus mask under fermatean fuzzy soft information. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-201760] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
With the rapid increase of COVID-19, mostly people are facing antivirus mask shortages. It is necessary to select a good antivirus mask and make it useful for everyone. For maximize the efficacy of the antivirus masks, we propose a decision support algorithm based on the concept of Fermatean fuzzy soft set (FFSfS). The basic purpose of this article is to introduce the notion of FFSfS to deal with problems involving uncertainty and complexity corresponding to various parameters. Here, the valuable properties of FFSfS are merged with the Yager operator to propose four new operators, namely, Fermatean fuzzy soft Yager weighted average (FFSfYWA), Fermatean fuzzy soft Yager ordered weighted average (FFSfYOWA), Fermatean fuzzy soft Yager weighted geometric (FFSfYWG) and Fermatean fuzzy soft Yager ordered weighted geometric (FFSfYOWG) operators. The fundamental properties of proposed operators are discussed. For the importance of proposed operators, a multi-attribute group decision-making (MAGDM) strategy is presented along with an application for the selection of an antivirus mask over the COVID-19 pandemic. The comparison with existing operators shows that existing operators cannot deal with data involving parametric study but developed operators have the ability to deal decision-making problems using parameterized information.
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Affiliation(s)
- Gulfam Shahzadi
- Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
| | - Muhammad Akram
- Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan
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17
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Gong J, Li Q, Yin L, Liu H. Undergraduate teaching audit and evaluation using an extended MABAC method under
q
‐rung orthopair fuzzy environment. INT J INTELL SYST 2020. [DOI: 10.1002/int.22278] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Jia‐Wei Gong
- School of Management Shanghai University Shanghai China
| | - Qiang Li
- School of Management Shanghai University Shanghai China
| | - Linsen Yin
- School of Financial Technology Shanghai Lixin University of Accounting and Finance Shanghai China
| | - Hu‐Chen Liu
- School of Economics and Management Tongji University Shanghai China
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18
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Extension of Einstein geometric operators to multi-attribute decision making under q-rung orthopair fuzzy information. GRANULAR COMPUTING 2020. [DOI: 10.1007/s41066-020-00233-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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19
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Akram M, Shahzadi G. A hybrid decision-making model under q-rung orthopair fuzzy Yager aggregation operators. GRANULAR COMPUTING 2020. [DOI: 10.1007/s41066-020-00229-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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20
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Yang Z, Ouyang T, Fu X, Peng X. A decision‐making algorithm for online shopping using deep‐learning–based opinion pairs mining and
q
‐rung orthopair fuzzy interaction Heronian mean operators. INT J INTELL SYST 2020. [DOI: 10.1002/int.22225] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Zaoli Yang
- College of Economics and ManagementBeijing University of TechnologyBeijing China
| | - Tianxiong Ouyang
- School of Software EngineeringBeijing University of Posts and TelecommunicationsBeijing China
- Key Laboratory of Trustworthy Distributed Computing and ServiceMinistry of Education, Beijing University of Posts and TelecommunicationsBeijing China
| | - Xiangling Fu
- School of Software EngineeringBeijing University of Posts and TelecommunicationsBeijing China
- Key Laboratory of Trustworthy Distributed Computing and ServiceMinistry of Education, Beijing University of Posts and TelecommunicationsBeijing China
| | - Xindong Peng
- Department of Software Engineering, School of Information Sciences and EngineeringShaoguan UniversityShaoguan China
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