11 results on '"Yanfeng GUO"'
Search Results
2. TODIM method based on the CRITIC method for multi-attribute group decision making with dual probabilistic linguistic information
- Author
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Zeyuan Wang, Guiwu Wei, and Yanfeng Guo
- Subjects
Statistics and Probability ,Artificial Intelligence ,General Engineering - Abstract
The main research of this paper is decision making under the dual probabilistic linguistic term sets (DPLTSs). This paper introduces a method, which combined TODIM method and CRITIC method. In this research, the CRITIC method is used to determine the weight, and the distance formula of TODIM method has been modified in order to adapt to DPLTS situation. Then, the TODIM method is used for multi-attribute group decision making (MAGDM) problem. Finally, a case study concerning investment project selection is given to demonstrate the merits of the developed methods. This combined method can be used for the automatic areal feature matching, medical quality assessment, and ranking of matching processes. There are very few papers about using TODIM method under DPLTS situation at present, so this is a new perspective on MAGDM. The DPLTS-TODIM-CRITIC method was compared with correlation coefficient method and closeness coefficient method, and it is easy to find the advantage of this new method over the other two existing methods.
- Published
- 2022
3. Picture fuzzy MABAC method based on prospect theory for multiple attribute group decision making and its application to suppliers selection
- Author
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Zhiwei Jiang, Guiwu Wei, and Yanfeng Guo
- Subjects
Statistics and Probability ,Artificial Intelligence ,General Engineering ,ComputerApplications_COMPUTERSINOTHERSYSTEMS - Abstract
In the garment manufacturing industry, purchasing management is an important link. The materials of making clothes often need high cost. In addition, customers put forward a request in the quality of clothes. Thus, choosing an optimal supplier is an essential part of job. Reaching cooperation with an optimal supplier not only can help garment manufacturer improve the quality of clothes but also is benefit to reduce the cost of producing. Most importantly, it can improve the competitiveness of manufacture enterprises. So, it is important for managers to find an optimal supplier and make a cooperation with it. In this paper, we analysis an issue about choosing an optimal supplier during four different suppliers. With analyzing this problem, we can introduce an extended method under picture fuzzy environment to evaluate and choose an optimal supplier. In this article, we describe some basic knowledges about picture fuzzy sets (PFSs) and picture fuzzy numbers (PFNs). Then, we introduce the extension of MABAC method which is on the basis of prospect theory (PT) with picture fuzzy numbers (PF-PT-MABAC) and utilize the PF-PT-MABAC model to evaluate different suppliers to choose an optimal supplier. Finally, we compare the result of PF-PT-MABAC with the result of traditional MABAC, PFWG operators and traditional TODIM method to test the efficiency of PF-PT-MABAC model.
- Published
- 2022
4. Taxonomy method for multiple attribute group decision making based on interval-valued intuitionistic fuzzy with entropy
- Author
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Xudong Chen, Guiwu Wei, Yanfeng Guo, and Lu Xiao
- Subjects
Statistics and Probability ,Theoretical computer science ,Artificial Intelligence ,Taxonomy (general) ,General Engineering ,Intuitionistic fuzzy ,Entropy (energy dispersal) ,Interval valued ,Group decision-making ,Multiple attribute ,Mathematics - Abstract
Interval-valued intuitionistic fuzzy set (IVIFS) is a flexible method to deal with uncertainty and fuzziness. For the past few years, extensive researches about the multi-attribute group decision making (MAGDM) problems based on IVIFSs has been extensively studied in many fields. In this study, the Taxonomy method based on IVIFSs (IVIF-Taxonomy) was proposed for MAGDM problems. For the sake of the objectivity of attribute weight, entropy is introduced into the proposed model. The IVIF-Taxonomy method fully considers the weight of the decision makers (DMs) and the homogeneity of the chosen alternatives, making it more realistic. In addition, we apply IVIF-Taxonomy method to fund selection to verify the validity of IVIF-Taxonomy method. Finally, the trustworthy of IVIF-Taxonomy method is proved by comparing with the aggregate operator, IVIF-TOPSIS method, IVIF-GRA method and modified IVIF-WASPAS method.
- Published
- 2021
5. Model for selection of hospital constructions with probabilistic linguistic GRP method
- Author
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Siqi Wang, Jiang Wu, Yanfeng Guo, Cun Wei, and Guiwu Wei
- Subjects
Statistics and Probability ,0209 industrial biotechnology ,Computer science ,business.industry ,General Engineering ,Probabilistic logic ,02 engineering and technology ,computer.software_genre ,020901 industrial engineering & automation ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,computer ,Selection (genetic algorithm) ,Natural language processing - Abstract
Probabilistic linguistic term sets are used to express uncertain decision information in multiple attribute group decision making problems. For probabilistic linguistic multiple attribute group decision making (MAGDM) with weight determined by CRITIC (Criteria Importance Through Intercriteria Correlation) method, the probabilistic linguistic grey relational projection method is proposed in this paper. Firstly, the correlation coefficient among attributes and standard deviation of each attribute are utilized to compute the attributes weights. Then the most ideal alternative is decided by means of counting the grey relational projection (GRP) from probabilistic linguistic positive ideal solution and probabilistic linguistic negative ideal solution. In the end, a numerical example for site selection of hospital constructions is applied to further account for the extended method. The result demonstrates the availability of the proposed method and it can be used in other fields which refers to problems of selection.
- Published
- 2021
6. Green supplier selection in steel industry with intuitionistic fuzzy Taxonomy method
- Author
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Jiang Wu, Lu Xiao, Yu Wei, Guiwu Wei, Siqi Zhang, Cun Wei, and Yanfeng Guo
- Subjects
Statistics and Probability ,0209 industrial biotechnology ,Computer science ,business.industry ,General Engineering ,Intuitionistic fuzzy ,02 engineering and technology ,020901 industrial engineering & automation ,Artificial Intelligence ,Taxonomy (general) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,Selection (genetic algorithm) - Abstract
Since people around the world have gradually attached importance to resource conservation, various countries are actively taking measures to promote environmental protection and sustainable development. Green supply chain management (GSCM) have emerged in this context. Thus, in this essay, a novel intuitionistic fuzzy multiple attribute group decision making (MAGDM) method is designed to tackle this issue. First of all, CRITIC (Criteria Importance Through Inter-criteria Correlation) method is utilized to determine the weights of criteria. Later, the conventional Taxonomy method is extended to the intuitionistic fuzzy environment to compute the value of development attribute of each supplier. Then, the optimal one can be determined. Eventually, an application about green supplier selection in steel industry is presented, and a comparative analysis is made to demonstrate the superiority of the proposed method. The main features of the proposed algorithm are that they provide a practical solution for selecting GSCM and presents an objective weighting method to enhance the effectiveness of the algorithm.
- Published
- 2020
7. QUALIFLEX method for MAGDM with probabilistic uncertain linguistic information and its application to green supplier selection
- Author
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Fan Lei, Guiwu Wei, Jiang Wu, Cun Wei, and Yanfeng Guo
- Subjects
Statistics and Probability ,0209 industrial biotechnology ,Computer science ,business.industry ,General Engineering ,Probabilistic logic ,02 engineering and technology ,Machine learning ,computer.software_genre ,020901 industrial engineering & automation ,Rule-based machine translation ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,computer ,Selection (genetic algorithm) - Abstract
Probabilistic uncertain linguistic sets (PULTSs) have extensively been employed in multiple attribute group decision making (MAGDM)problem. The QUALIFLEX method, which is relatively a novel MAGDM technique, aims to obtain the optimal alternative. This paper proposes the probabilistic uncertain linguistic QUALIFLEX (PUL-QUALIFLEX) method with CRITIC method. To show the effectiveness of the designed method, an application is given for green supplier selection and the derived results are compared with some existing methods. Thus, the advantage of this proposed method is that it is simple to understand and easy to compute. The proposed method can also contribute to the selection of suitable alternative successfully in other selection issues.
- Published
- 2020
8. Green supplier selection with an uncertain probabilistic linguistic MABAC method
- Author
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Yan He, Yanfeng Guo, Guiwu Wei, Jiang Wu, Fan Lei, and Cun Wei
- Subjects
Statistics and Probability ,0209 industrial biotechnology ,business.industry ,Computer science ,General Engineering ,Probabilistic logic ,02 engineering and technology ,Machine learning ,computer.software_genre ,020901 industrial engineering & automation ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,computer ,Selection (genetic algorithm) - Abstract
In recent years, with the increased voice for protecting the environment by the people all over the world, the governments also have actively adopted more and more measures to further promote environmental conservation and sustainable development. Traditional procurement approaches have not well updated to the current needs of the society, especially for the retail industry which is in relation to the national economy due to numerous products and different suppliers being involved. Therefore, the need for green procurement is more important. The qualified green supplier selection is the core of green procurement, which is the utmost importance in the business competition throughout the supply chain in today’s strong business competition. Thus, in order to obtain the optimal green supplier, integration of Entropy weights and multi-attributive border approximation area comparison (MABAC) under uncertain probabilistic linguistic sets (UPLTSs) has offered a novel integrated model, in which information Entropy is utilized for calculating objective weights with UPLTSs to acquire the final ranking result of green supplier. Besides, so as to indicate the applicability of devised method, it is confirmed by a numerical case for green supplier selection. Some comparative studies are made with some existing methods. The proposed method can also serve for selecting suitable alternative successfully in other selection problems.
- Published
- 2020
9. GRA method for waste incineration plants location problem with probabilistic linguistic multiple attribute group decision making
- Author
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Guiwu Wei, Yanfeng Guo, Jiang Wu, Fan Lei, Jianping Lu, and Cun Wei
- Subjects
Statistics and Probability ,0209 industrial biotechnology ,Operations research ,Computer science ,General Engineering ,Probabilistic logic ,02 engineering and technology ,Group decision-making ,Incineration ,020901 industrial engineering & automation ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Multiple attribute - Abstract
In this paper, we provide the probabilistic linguistic multiple attribute group decision making (PL-MAGDM) with incomplete weight information. In such method, the linguistic information firstly is shifted into probabilistic linguistic information. For obtaining the weight information of the attribute, two optimization models are built on the basis of the basic idea of grey relational analysis (GRA), by which the attribute weights can be obtained. Then, the optimal alternative is obtained through calculating largest relative relational degree from the probabilistic linguistic positive ideal solution (PLPIS) which considers both the largest grey relational coefficient (GRC) from the PLPIS and the smallest GRC form probabilistic linguistic negative ideal solution (PLNIS). Finally, a case study for waste incineration plants location problem is given to demonstrate the advantages of the developed methods.
- Published
- 2020
10. Improved CODAS Method Under Picture 2-Tuple Linguistic Environment and Its Application for a Green Supplier Selection.
- Author
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Siqi ZHANG, Guiwu WEI, RuiWANG, JiangWU, Cun WEI, Yanfeng GUO, and Yu WEI
- Subjects
GROUP decision making ,SUPPLIERS ,PICTURES ,GREEN business - Abstract
In this paper, the CODAS (CombinativeDistance-basedAssessment) is utilized to address someMAGDMissues by using picture 2-tuple linguistic numbers (P2TLNs). At first, some essential concepts of picture 2-tuple linguistic sets (P2TLSs) are briefly reviewed. Then, the CODAS method with P2TLNs is constructed and all calculating procedures are simply depicted. Eventually, an empirical application of green supplier selection has been offered to demonstrate this novel method and some comparative analysis between the CODAS method with P2TLNs and several methods are also made to confirm the merits of the developed method. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
11. Dynamic Shock Cushioning Characteristics and Vibration Transmissibility of X-PLY Corrugated Paperboard
- Author
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Yanfeng Guo, Wencai Xu, Yungang Fu, and Hongtao Wang
- Subjects
Mechanics of Materials ,Mechanical Engineering ,Geotechnical Engineering and Engineering Geology ,Condensed Matter Physics ,lcsh:Physics ,lcsh:QC1-999 ,Civil and Structural Engineering - Abstract
X-PLY corrugated paperboard is a new-type corrugated paperboard with three layers of orthotropic corrugated sandwiches structure, and may be employed to protect products from shock or vibration damage during distribution. This article deals with the characterization of properties of X-PLY corrugated paperboard relevant to its application for protective packaging in distribution, such as dynamic cushioning curves, vibration transmissibility and frequency curves. The main feature of article is the evaluation on the dynamic shock cushioning characteristics and vibration transmissibility of X-PLY corrugated paperboards by a series of experimental studies on the drop shock tester and vibration tester, the establishment of experimental formulas of dynamic cushioning curves, and the analysis of peak frequencies, vibration transmissibility and damping ratios. By using the fitting polynomial of curve and method of the least mean square, the experimental formulas and characteristic coefficients of dynamic cushioning curves have been obtained. From the vibration tests with slow sine sweep, the peak frequencies and vibration transmissibility are measured and used to estimate the damping ratios. These works provide basic data and curves relevant to its application for protective packaging in distribution.
- Published
- 2011
- Full Text
- View/download PDF
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