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A combination weighting model based on iMOEA/D-DE

Frontiers of Information Technology & Electronic Engineering 2022年第4期23卷 604-616页

作者： Mingtao DONG Jianhua CHENG Lin ZHAO College of Intelligent Systems Science and Engineering Harbin Engineering UniversityHarbin150001China

This paper proposes a combination weighting(CW)model based on iMOEA/D-DE(i.e.,improved multiobjective evolutionary algorithm based on decomposition with differential evolution)with the aim to accurately compute the weight of evaluation ***-expert weight considers only subjective weights,leading to poor *** overcome this shortcoming,a multiobjective optimization model of CW based on improved game theory is proposed while considering the uncertainty of combination *** improved mutation operator is introduced to improve the convergence speed,and thus better optimization results are ***,an adaptive mutation constant and crossover probability constant with self-learning ability are proposed to improve the robustness of MOEA/*** the existing weight evaluation approaches cannot evaluate weights separately,a new weight evaluation approach based on relative entropy is *** the evaluation method of integrated navigation systems as an example,certain experiments are carried *** is proved that the proposed algorithm is effective and has excellent performance.

关键词： combination weighting MOEA/D-DE Game theory Self-learning ability Relative entropy

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Synthetic Evaluation of Steady-state Power Quality Based on combination weighting and Principal Component Projection Method

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CSEE Journal of Power and Energy Systems 2017年第2期3卷 160-166页

作者： Jidong Wang Wenjie Pang Lipeng Wang Xipin Pang Ryuichi Yokoyama Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China Graduate School of Environment and Energy Engineering Waseda UniversityTokyo 169-8555Japan

With integration of renewable energy and use of non-linear loads in power systems,the power quality problem is increasingly attracting attention of *** China,standards for individual power quality indexes are ***,when evaluating power quality in practice,individual indexes cannot directly reflect a comprehensive level of power *** this paper,a comprehensive analysis of various indexes is conducted to obtain a unified parameter for describing the characteristics of power quality from an overall ***,weight values of power quality indexes are calculated by combining the subjective and objective ***,based on the principal components of the projection method,projection values of boundary data and data to be evaluated are ***,using these projection values,a grade range for power quality data is located.A practical case study is presented to show the validity of the proposed method for evaluating power quality.

关键词： combination weighting entropy weight method G1 method power quality principal component projection

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Approach of Linguistic Group Decision Making Based on combination weighting 2-Tuple Linguistic VIKOR

Approach of Linguistic Group Decision Making Based on Combin...

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第30届中国控制与决策会议

作者： Haolun Wang Ranjun Deng East China Jiaotong University

This paper presented an approach of linguistic group decision-making based on combination weighting 2-tuple linguistic VIKOR. Firstly, the 2-tuple linguistic is used to cope with assessment information of attribute values and weights that represented with linguistic variable. Subjective weights of attribute are calculated by using the weighted averaging operator for 2-tuple linguistic and the objective weights of attribute are determined based on the statistical variance. And subjective weight and objective weight are integrated into combination weight. Then, through the 2-tuple linguistic VIKOR method, the compromise ranking result of alternatives can be determined. Finally, an example analysis is given to illustrate the validity and applicability of the proposed method.

关键词： Group Decision Making 2-Tuple Linguistic VIKOR combination weighting

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Study on Overseas Electricity Regulatory Environment Assessment Model Based on combination weighting

Study on Overseas Electricity Regulatory Environment Assessm...

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第37届中国控制会议

作者： Qi Qu Xin Guo Chunzhang Zhao Yan Li State Grid International Development Company North China Electric Power University State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Rese arch Institute)

This paper establishes the evaluation index system of regulatory environment for overseas electricity market and puts forward the method of combination weighting-improved portfolio weighting method based on gray relational analysis. Based on this, a model for assessing the regulatory environment of overseas electricity market has been established. Regulatory environment of four electricity market including Greece, Italy, Sweden and Portugal was assessed. The results show that the combination weighting method proposed in this paper can effectively reduce the heterogeneity of experts’ weight judgment and can better highlight the differences between the evaluation results of different countries.

关键词： Overseas Electricity Regulatory Environment Assessment combination weighting

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Evaluating the Derivative Value of Smart Grid Investment under Dual Carbon Target: A Hybrid Multi-Criteria Decision-Making Analysis

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Energy Engineering 2023年第12期120卷 2879-2901页

作者： Na Yu Changzheng Gao Xiuna Wang Dongwei Li Weiyang You Guangdong Power Grid Co. Ltd.Guangzhou510410China Electric Power Development Research Institute China Electricity CouncilBeijing100053China

With the goal of“carbon peaking and carbon neutralization”,it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable *** grid investment has a significant driving effect(derivative value),and evaluating this value can help to more accurately grasp the external effects of smart grid investment and support the realization of industrial linkage value with power grid investment as the ***,by analyzing the characterization of the derivative value of smart grid driven by investment,this paper constructs the evaluation index system of the derivative value of smart grid investment including 11 ***,the hybrid evaluation model of the derivative value of smart grid investment is developed based on anti-entropy weight(AEW),level based weight assessment(LBWA),and measurement alternatives and ranking according to the compromise solution(MARCOS)*** results of case analysis show that for SG investment,the value of sustainable development can better reflect its derivative value,and when smart grid performs poorly in promoting renewable energy consumption,improving primary energy efficiency,and improving its own fault resistance,the driving force of its investment for future sustainable development will decline significantly,making the grid investment lack derivative *** addition,smart grid investment needs to pay attention to the economy of investment,which is an important guarantee to ensure that the power grid has sufficient and stable sources of investment ***,compared with three comparison models,the proposed hybrid multi-criteria decision-making(MCDM)model can better improve the decision-making efficiency on the premise of ensuring robustness.

关键词： Carbon peaking and carbon neutralization smart grid investment derivative value combination weighting MARCOS sustainable development performance

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基于最大指标区分度与最优相对隶属度的上市公司信用风险研究

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统计与精算 2021年第4期

作者：李哲迟国泰

信用风险又称违约风险，是评价一笔债务由于某些因素遭受损失的可能性，因此信用评价体系既要有违约鉴别能力，又能给出违约产生的原因。本文涉及的问题一是如何在众多指标中筛选出对违约状态鉴别最大的指标组合，二是如何对指标赋予权... 详细信息

信用风险又称违约风险，是评价一笔债务由于某些因素遭受损失的可能性，因此信用评价体系既要有违约鉴别能力，又能给出违约产生的原因。本文涉及的问题一是如何在众多指标中筛选出对违约状态鉴别最大的指标组合，二是如何对指标赋予权重，使得权重体现指标真实的重要程度，三是如何选取兼顾分类性能和可解释性的模型。本文的方法一是通过指标区分度最大的广义F-Score、指标子集间冗余度最小的平均相关系数遴选出对违约状态鉴别能力最大的指标体系；二是通过构建组合赋权模型，以指标信息含量最大、赋权结果一致性最大为目标函数，得到一组最优的指标权重；三是以客户与类别的广义加权距离最小为目标函数，求解非线性目标规划得到客户在不同类别中的相对隶属度，以此得到客户所属类别。上市公司样本实证分析表明：(1)从610个指标中筛选出的31个指标既具有违约状态的区分能力，又符合“信用5C”原则，是一个科学、合理的指标体系；(2)通过组合赋权得到31个指标的权重，企业内部财务因素对信用评价影响最大，“营运资本周转率”的权重值最大，是影响企业信用评价的关键指标，“监事会会议次数”“派息比”“审计意见类型”等指标都是影响信用评价的重要指标；(3)与逻辑回归、支持向量机等8种模型对比发现，本文提出的相对隶属度模型不仅具有良好的分类性能，而且是一个平衡分类性能、可解释性的模型。

关键词：信用评价指标组合筛选组合赋权最优相对隶属度 credit risk feature combination selection combination weighting optimal relative membership degree

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