Investment monitoring key points identification model of big science research infrastructures -- Fuzzy BWM-entropy-PROMETHEE Ⅱ method

Wu, Yunna; Yong, Xingkai; Tao, Yao; Zhou, Jianli; He, Jiaming; Yang, Yingying

doi:10.1016/j.seps.2022.101461

Cited by 8 publications

(6 citation statements)

References 41 publications

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“…Therefore, this paper adopts the entropy method to determine the objective weights of the indicators. The main steps of the entropy method are as follows (Wu et al, 2023a):…”

Section: Entropy Weights Method-objective Weightsmentioning

confidence: 99%

“…The determination of indicator weights is an important step in solving MCDM and can be approached through subjective weight methods, objective weight methods, and integrated weight methods (Wu et al, 2016;Wu et al, 2018;Qian et al, 2021;Zhang et al, 2021;Yong et al, 2022). Subjective weight methods reflect the subjective preferences of decision-makers (Wu et al, 2023a), while objective weight methods focus on the intrinsic relationships among data. Integrated weight methods combine the two through certain mathematical methods to achieve a balance between subjectivity and objectivity (Zhang et al, 2022b).…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

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Comprehensive evaluation research of hybrid energy systems driven by renewable energy based on fuzzy multi-criteria decision-making

Chen,

Tian

et al. 2023

Front. Energy Res.

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The worsening of climate conditions is closely related to the large amount of carbon dioxide produced by human use of fossil fuels. Under the guidance of the goal of “carbon peaking and carbon neutrality goals”, with the deepening of the structural reform of the energy supply side, the hybrid energy system coupled with renewable energy has become an important means to solve the energy problem. This paper focuses on the comprehensive evaluation of hybrid energy systems. A complete decision support system is constructed in this study. The system primarily consists of four components: 1) Twelve evaluation criteria from economic, environmental, technological, and socio-political perspectives; 2) A decision information collecting and processing method in uncertain environment combining triangular fuzzy numbers and hesitation fuzzy language term sets; 3) A comprehensive weighting method based on Lagrange optimization theory; 4) Solution ranking based on the fuzzy VIKOR method that considers the risk preferences of decision-makers. Through a case study, it was found that the four most important criteria are investment cost, comprehensive energy efficiency, dynamic payback period and energy supply reliability with weights of 7.21%, 7.17%, 7.17%, and 7.15% respectively. A1 is the scheme with the best comprehensive benefit. The selection of solutions may vary depending on the decision-maker’s risk preference. Through the aforementioned research, the decision framework enables the evaluation of the overall performance of the system and provides decision-making references for decision-makers in selecting solutions.

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“…Therefore, this paper adopts the entropy method to determine the objective weights of the indicators. The main steps of the entropy method are as follows (Wu et al, 2023a):…”

Section: Entropy Weights Method-objective Weightsmentioning

confidence: 99%

Section: Introduction 1background and Motivationmentioning

confidence: 99%

Comprehensive evaluation research of hybrid energy systems driven by renewable energy based on fuzzy multi-criteria decision-making

Chen,

Tian

et al. 2023

Front. Energy Res.

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“…The objective weighting method determines weights by automatically solving mathematical models without considering the preferences of decision makers. There are several representative subjective weighting methods: the vlse kriterijumski optimizacioni racun (VIKOR) method, the technique for order preference by similarity to an ideal solution (TOPSIS) method, the deviation maximization method, and the entropy weight method [ 62 , 63 , 64 , 65 , 66 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Liu

Zhu

Yang

et al. 2023

Entropy

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How to ensure the normal production of industries in an uncertain emergency environment has aroused a lot of concern in society. Selecting the best emergency material suppliers using the multicriteria group decision making (MCGDM) method will ensure the normal production of industries in this environment. However, there are few studies in emergency environments that consider the impact of the decision order of decision makers (DMs) on the decision results. Therefore, in order to fill the research gap, we propose an extended MCGDM method, whose main steps include the following: Firstly, the DMs give their assessment of all alternatives. Secondly, we take the AHP method and entropy weight method to weight the criteria and the DMs. Thirdly, we take the intuitionistic fuzzy hybrid priority weight average (IFHPWA) operator we proposed to aggregate evaluation information and take the TOPSIS method to rank all the alternatives. Finally, the proposed method is applied in a case to prove its practicability and effectiveness. The proposed method considers the influence of the decision order of the DMs on the decision results, which improves the accuracy and efficiency of decision-making results.

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“…According to Guo et al, 18 to improve power quality and increase the absorption capacity of renewable energy generation, by introducing probabilistic hesitation‐fuzzy elements to describe quantitative indicators, decision‐makers can use hesitation‐fuzzy language term sets to evaluate qualitative indicators and evaluate offshore wind storage investment projects. Wu et al 19 designed an investment decision index system for engineering projects by monitoring the investment cost of large‐scale basic scientific research projects, adopting the entropy method and the optimal difference method to calculate the objective weight and subjective weight of investment project indicators, and adopting the ROMETHEE method to prioritize investment projects. To improve the investment accuracy of power grid investment projects and effectively prevent investment risks, Yuan et al 20 designed a multidimensional and multiangle risk evaluation index system for power grid investment projects, determined the index weights by means of the combination weighting method and proposed an investment optimization decision‐making method for multiple power grid construction projects under a certain investment scale.…”

Section: Introductionmentioning

confidence: 99%

Research on the optimal model for the evaluation of new power system investment projects based on the cloud model–DS evidence theory–TOPSIS method

Ma,

Chen,

Mei

2023

Energy Science & Engineering

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Considering that the traditional investment project evaluation system can no longer fully adapt to the characteristics of the new power system under the investment environment of the new power system, this study constructed a new power system investment project evaluation and optimization method based on the combination of the cloud model, evidence theory and the TOPSIS method. First, 16 evaluation indexes were considered based on four dimensions, namely green and low‐carbon, safe and reliable, flexible and intelligent, and economical and efficient, and the optimal evaluation index system of new power system investment projects was designed. Second, the normal cloud model was used to obtain the evaluation membership distribution of each index and turn it into evidence. Considering the conflicts between indicators and the combinational contradictions of traditional evidence theories, an improved DS evidence theory based on a game weight coefficient discount to reduce conflicting evidence was used to fuse the membership information of multiple indicators. On the basis of the evaluation results of each scheme, this study used the TOPSIS method to sort the advantages and disadvantages of each scheme. Finally, the project of planning and putting this model into operation in the 14th Five‐Year project database of a power grid enterprise was selected as an example to carry out empirical analysis, and the effectiveness and superiority of the proposed model were verified.

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Investment monitoring key points identification model of big science research infrastructures -- Fuzzy BWM-entropy-PROMETHEE Ⅱ method

Cited by 8 publications

References 41 publications

Comprehensive evaluation research of hybrid energy systems driven by renewable energy based on fuzzy multi-criteria decision-making

Comprehensive evaluation research of hybrid energy systems driven by renewable energy based on fuzzy multi-criteria decision-making

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Research on the optimal model for the evaluation of new power system investment projects based on the cloud model–DS evidence theory–TOPSIS method

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