A Fuzzy-Social Network Multi-criteria Group Decision-Making Framework for Selection of Renewable Energy Project: A Case of China

Su, Weihua; Zhang, Le; Zeng, Shouzhen; Jin, Huanhuan

doi:10.1007/s40815-021-01193-9

Cited by 9 publications

(5 citation statements)

References 41 publications

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“…Fuzzy-social network uses fuzzy numbers to express the degree of the trust relationship. Hesitant probabilistic fuzzy trust-social network (HPFT-SN) proposed by [18] is mainly used in this paper. Some basic concepts are shown below.…”

Section: Fuzzy-social Networkmentioning

confidence: 99%

“…In the fuzzy-social network, due to the different degrees of direct and indirect connection between DMs, the centrality of each DM is usually used to determine the weights. The method proposed in [18] is difficult to achieve the differential allocation of DMs' weights; that is, it is difficult to reflect the status difference of DMs in the social network. In order to better solve the problem, this paper further proposes a method to determine the DMs' weights based on the degree of centrality.…”

Section: Fuzzy-social Network For Determining Dms' Weightsmentioning

confidence: 99%

“…Step 5: Determine the MADM results. According to the aggregated data of Step 4, the MADM results are determined by Equations ( 16)- (18). According to the evaluation results, the effects, advantages, and disadvantages of different teaching models are further analyzed.…”

Section: Madm Framework For Statistical Teaching Model Evaluationmentioning

confidence: 99%

“…When there are multiple types or properties of attributes in the evaluation attribute system, heterogeneous information can be more targeted to select the appropriate collection form, which has been widely used in multi-attribute problems and group decision-making to solve practical problems such as supplier selection and personnel assessment [14], and then, the fuzzy-social network is used to determine the weights of DMs in this paper [15,16]. As a method to measure the trust relationship between DMs, the fuzzy-social network can indirectly reflect the importance of members [17], so it is widely used in multi-attribute evaluation, MADM problems, and other issues [18]. Finally, in the aspect of determining attribute weights, the entropy weight method and the AHP weight method are combined to construct subjective and objective combined weight methods.…”

Section: Introductionmentioning

confidence: 99%

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A Heterogeneous Information-Based Multi-Attribute Decision Making Framework for Teaching Model Evaluation in Economic Statistics

Zhang

et al. 2022

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A teaching model is a stable teaching procedure established under the guidance of certain teaching ideas or theories. As a methodological major in higher education, economic statistics cross various fields of natural science and social science, showing the characteristics of intersection, integration, and marginality. Therefore, this paper proposes a multi-attribute decision-making (MADM) framework for teaching model evaluation based on heterogeneous information. First, the attribute system of competition–academic research–master of knowledge–practical operation (CAMP) is constructed. Second, heterogeneous information is introduced in the process of teaching model evaluation; Third, a weight determination method based on a trust relationship of the fuzzy–social network is proposed, which provides a better solution to the problem of decision makers’ (DMs’) weight allocation in teaching model evaluation. Furthermore, a combined attribute weights determination method under an intuitionistic fuzzy number is constructed, which improves the shortcomings of the weight method in teaching model evaluation. Finally, through empirical research and stability analysis, the proposed evaluation framework has good effectiveness and feasibility, and policy suggestions for improvements to the economic statistical teaching model are then proposed.

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Section: Fuzzy-social Networkmentioning

confidence: 99%

Section: Fuzzy-social Network For Determining Dms' Weightsmentioning

confidence: 99%

Section: Madm Framework For Statistical Teaching Model Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Heterogeneous Information-Based Multi-Attribute Decision Making Framework for Teaching Model Evaluation in Economic Statistics

Zhang

et al. 2022

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“…How is the alternative with the best performance determined? There exist lots of different sorts of effective tools to denote decision makers' preference information, where fuzzy set is one of the most concerned [8][9][10][11][12][13][14][15][16][17]. The Fermatean fuzzy set (FFS) proposed by Senapati and Yager [18] is one of the most well-known and practical tools among them, which mainly restricts the summation of the cubes of the membership degree and the nonmembership degree shall not exceed one.…”

Section: Introductionmentioning

confidence: 99%

Online Teaching Quality Evaluation of Business Statistics Course Utilizing Fermatean Fuzzy Analytical Hierarchy Process with Aggregation Operator

Zeng

Pan

Jin

2022

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Due to the full-scale outbreak of COVID-19, many universities have adopted the way of online teaching to ensure the orderly development of teaching plans and teaching contents. However, whether online and offline teaching can develop homogeneously and how to ensure the teaching effect is a major challenge for colleges and universities. Therefore, it is urgent to construct a reasonable index system and evaluation approach for the quality of network teaching. Combined with the influencing factors and characteristics of online teaching, this study first puts forward a multi-index evaluation index system and then proposes a novel evaluation method for online teaching based on the analytical hierarchy process (AHP) and Dombi weighted partitioned Muirhead Mean (PMM) operator under Fermatean fuzzy (FF) environment. This presented method not only adapts to changeable evaluation information but also handles the elusive interrelationships among indexes, realizing the flexibility and comprehensiveness both in form and in the polyaddition process. The applicability and feasibility of this presented method are then discussed through the practical online teaching quality evaluation of a business statistics course case, and a group of tentative about the sensitivity analysis and comparative analysis further demonstrates the effectiveness and flexibility of the proposed method.

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Regional Water Resource Security in China Based on a New Fuzzy Method with Combination Weighting

Zhou

Wei

Song

2022

Int. J. Fuzzy Syst.

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A Fuzzy-Social Network Multi-criteria Group Decision-Making Framework for Selection of Renewable Energy Project: A Case of China

Cited by 9 publications

References 41 publications

A Heterogeneous Information-Based Multi-Attribute Decision Making Framework for Teaching Model Evaluation in Economic Statistics

A Heterogeneous Information-Based Multi-Attribute Decision Making Framework for Teaching Model Evaluation in Economic Statistics

Online Teaching Quality Evaluation of Business Statistics Course Utilizing Fermatean Fuzzy Analytical Hierarchy Process with Aggregation Operator

Regional Water Resource Security in China Based on a New Fuzzy Method with Combination Weighting

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