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Wan SP, Huang Cheng WB, Dong JY. Interactive multi-criteria group decision-making with probabilistic linguistic information for emergency assistance of COVID-19. Appl Soft Comput 2021; 107:107383. [PMID: 35721366 PMCID: PMC9187977 DOI: 10.1016/j.asoc.2021.107383] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 03/06/2021] [Accepted: 03/30/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Shu-Ping Wan
- School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China
| | - Wen-Bo Huang Cheng
- School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China
| | - Jiu-Ying Dong
- School of Statistics, Jiangxi University of Finance and Economics, Nanchang 330013, China
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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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3
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A novel multiple attribute decision-making approach for evaluation of emergency management schemes under picture fuzzy environment. INT J MACH LEARN CYB 2021. [DOI: 10.1007/s13042-021-01280-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Liu J, Lin L, Liang X. Intelligent system of English composition scoring model based on improved machine learning algorithm. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-189235] [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
The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.
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Affiliation(s)
- Jie Liu
- Cangzhou Normal University, Cangzhou, Hebei, China
| | - Lin Lin
- Cangzhou Normal University, Cangzhou, Hebei, China
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Liu Y, Wei G, Liu H, Xu L. Group decision making for internet public opinion emergency based upon linguistic intuitionistic fuzzy information. INT J MACH LEARN CYB 2021. [DOI: 10.1007/s13042-020-01262-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Xu L, Liu Y, Liu H. Linguistic interval-valued intuitionistic fuzzy copula power aggregation operators for multiattribute group decision making. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-200387] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
For the sake of better handle the imprecise and uncertain information in decision making problems(DMPs), linguistic interval-valued intuitionistic fuzzy numbers(LIVIFNs) based aggregation operators (AOS) are proposed by combining extended Copulas (ECs), extended Co-copulas (ECCs), power average operator and linguistic interval-valued intuitionistic fuzzy information (LIVIFI). First of all, ECs and ECCs, some specifics of ECs and ECCs, score and accuracy functions of LIVIFNs are gained. Then, based on ECs and ECCs, several aggregation operators are proposed to aggregate LIVIFI, which can offer decision makers (DMs) desirable generality and flexibility. In addition, the desired properties of proposed AOS are discussed. Last but not least, a MAGDM approach is constructed based on proposed AOs; Consequently, the effectiveness of the proposed approach is verified by a numerical example, and then the advantages are showed by comparing with other approaches.
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Affiliation(s)
- Lei Xu
- Data Recovery Key Lab of Sichuan Province, Neijiang Normal University, Neijiang, Sichuan, P.R. China
| | - Yi Liu
- Data Recovery Key Lab of Sichuan Province, Neijiang Normal University, Neijiang, Sichuan, P.R. China
| | - Haobin Liu
- Data Recovery Key Lab of Sichuan Province, Neijiang Normal University, Neijiang, Sichuan, P.R. China
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Liu HB, Liu Y, Xu L, Abdullah S. Multi-attribute group decision-making for online education live platform selection based on linguistic intuitionistic cubic fuzzy aggregation operators. COMPUTATIONAL AND APPLIED MATHEMATICS 2021; 40:16. [PMCID: PMC7791542 DOI: 10.1007/s40314-020-01406-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
The purpose of this study is to propose a multi-attribute group decision-making (MAGDM) method for online education live platform selection based on proposed novel aggregation operators (AOs) under linguistic intuitionistic cubic fuzzy set (LICFS). First, the Archimedean copula and co-copula are extended to handle linguistic intuitionistic cubic fuzzy information (LICFI) and the operational law of linguistic intuitionistic cubic fuzzy variables (LICFVs) based on extended copula (EC) and extended co-copula (ECC) are given. In addition, linguistic intuitionistic cubic fuzzy copula weighted average (LICFCWA) operator and linguistic intuitionistic cubic fuzzy copula weighted geometric (LICFCWG) operator are proposed based on EC and ECC under LICFI; meanwhile, some special forms of LICFCWA and LICFCWG have been obtained by different types generators of ECs and ECCs. Third, a novel MAGDM approach based on proposed LICFCWA (LICFCWG) is constructed to solve the selection problem of the online education live platform in the period of the COVID-19, and a detailed parameter analysis was carried out. Fourthly, LICFS will degenerate into linguistic intuitionistic fuzzy set and intuitionistic cubic fuzzy set, respectively, in different cases. Finally, some comparisons are carried out with other existing proposed MAGDM approaches. By comparing different types of experiments, the effectiveness and flexibility of the proposed approach are also showed.
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Affiliation(s)
- Hao bin Liu
- Data Recovery Key Lab of Sichuan Province, Neijiang Normal University, Neijiang, 641000 Sichuan People’s Republic of China
- School of Mathematics and Information Science, Neijiang Normal University, Neijiang, 641000 Sichuan People’s Republic of China
- Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang, 641110 Sichuan People’s Republic of China
| | - Yi Liu
- Data Recovery Key Lab of Sichuan Province, Neijiang Normal University, Neijiang, 641000 Sichuan People’s Republic of China
- School of Mathematics and Information Science, Neijiang Normal University, Neijiang, 641000 Sichuan People’s Republic of China
- Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang, 641110 Sichuan People’s Republic of China
| | - Lei Xu
- Data Recovery Key Lab of Sichuan Province, Neijiang Normal University, Neijiang, 641000 Sichuan People’s Republic of China
- School of Mathematics and Information Science, Neijiang Normal University, Neijiang, 641000 Sichuan People’s Republic of China
- Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang, 641110 Sichuan People’s Republic of China
| | - Saleem Abdullah
- Department of Mathematics, Abdul Wali Khan University, Garden Campus, Mardan, Pakistan
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Suresh M, Arun Prakash K, Vengataasalam S. Multi-criteria decision making based on ranking of neutrosophic trapezoidal fuzzy numbers. GRANULAR COMPUTING 2020. [DOI: 10.1007/s41066-020-00240-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Supplier Selection in the Nuclear Power Industry with an Integrated ANP-TODIM Method under Z-Number Circumstances. Symmetry (Basel) 2020. [DOI: 10.3390/sym12081357] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Under the double pressure of global energy consumption and climate change, nuclear power has become a low-carbon alternative energy source that could transform the energy structure of the globe. In the nuclear power industry, selecting suitable suppliers plays a significant role in improving the overall performance of nuclear power projects. Along with this symmetrical impact, this paper aims to develop a multistage decision-support framework to determine the optimal nuclear power equipment supplier, which is constructed in the context of Z-number information. Concretely, the Analytic Network Process (ANP) and Tomada de Decisão Iterativa Multicritério (TODIM) are extended by Z-numbers symmetrically—namely, Z-ANP and Z-TODIM. Z-ANP is first applied to analyze the symmetrical interdependence of criteria, so as to accurately determine the criterion weights. Further, the ranking of alternatives is obtained by Z-TODIM, which sufficiently considers the risk preference and psychological states of decision-makers. Finally, a practical case of nuclear-grade cable procurement in the Karachi 2-3 international nuclear power project is performed to illustrate the practicality of the proposed method, and its robustness and superiority are proven by comparing it with current representative approaches.
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Single-Valued Neutrosophic Power Shapley Choquet Average Operators and Their Applications to Multi-Criteria Decision-Making. MATHEMATICS 2019. [DOI: 10.3390/math7111081] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Single-valued neutrosophic sets (SVNSs), which involve in truth-membership, indeterminacy-membership and falsity-membership, play a significant role in describing the decision-makers’ preference information. In this study, a single-valued neutrosophic multi-criteria decision-making (MCDM) approach is developed based on Shapley fuzzy measures and power aggregation operator that takes a correlative relationship among criteria into account and also simultaneously reduces the effects of abnormal preference information. Firstly, two aggregation operators, namely, generalized weighted single-valued neutrosophic power Shapley Choquet average (GWSVNPSCA) operator and generalized weighted single-valued neutrosophic power Shapley Choquet geometric (GWSVNPSCG) operator, are accordingly defined, and the corresponding properties are discussed as well. Secondly, based on the proposed aggregation operators, an integrated MCDM approach is proposed to effectively solve single-valued neutrosophic problems where the weight information is incompletely known. A programming model is constructed to obtain the optimal Shapley fuzzy measure. Next, the proposed operators are utilized to aggregate the decision-makers’ preference information. Finally, a theoretical example with tourism attraction selection is provided to examine the efficacy of the developed approach, in which the results is found reasonable and credible.
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