Performance evaluation of port supply chain based on fuzzy-matter-element analysis

Wan-qing, Shao; Du, Yunchao; Su-mei, LU

doi:10.3233/jifs-169055

Cited by 10 publications

(2 citation statements)

References 5 publications

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“…(2) The group order relation method improved by matter element analysis [26][27][28][29] Suppose that the evaluated object has n evaluation criteria and there are m experts participating in the evaluation. The weight of the i expert to the j criterion can be obtained by order relation method as θ ij and the compound matter element R can be constructed as Equation (5):…”

Section: The Group Order Relation Methods Improved By Matter Element Amentioning

confidence: 99%

Comprehensive Evaluation of the Sustainable Development of Power Grid Enterprises Based on the Model of Fuzzy Group Ideal Point Method and Combination Weighting Method with Improved Group Order Relation Method and Entropy Weight Method

Dai

Niu

2017

Sustainability

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Abstract:As an important implementing body of the national energy strategy, grid enterprises bear the important responsibility of optimizing the allocation of energy resources and serving the economic and social development, and their levels of sustainable development have a direct impact on the national economy and social life. In this paper, the model of fuzzy group ideal point method and combination weighting method with improved group order relation method and entropy weight method is proposed to evaluate the sustainable development of power grid enterprises. Firstly, on the basis of consulting a large amount of literature, the important criteria of the comprehensive evaluation of the sustainable development of power grid enterprises are preliminarily selected. The opinions of the industry experts are consulted and fed back for many rounds through the Delphi method and the evaluation criteria system for sustainable development of power grid enterprises is determined, then doing the consistent and non dimensional processing of the evaluation criteria. After that, based on the basic order relation method, the weights of each expert judgment matrix are synthesized to construct the compound matter elements. By using matter element analysis, the subjective weights of the criteria are obtained. And entropy weight method is used to determine the objective weights of the preprocessed criteria. Then, combining the subjective and objective information with the combination weighting method based on the subjective and objective weighted attribute value consistency, a more comprehensive, reasonable and accurate combination weight is calculated. Finally, based on the traditional TOPSIS method, the triangular fuzzy numbers are introduced to better realize the scientific processing of the data information which is difficult to quantify, and the queuing indication value of each object and the ranking result are obtained. A numerical example is taken to prove that the model of fuzzy group ideal point method and combination weighting method with improved group order relation method and entropy weight method is feasible and effective for evaluating the sustainable development of power grid enterprises.Keywords: the sustainable development of power grid enterprises; comprehensive evaluation; group order relation method improved by matter element analysis; entropy weight method; combination weighting method; group ideal point method improved by triangular fuzzy numbers

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Section: The Group Order Relation Methods Improved By Matter Element Amentioning

confidence: 99%

Comprehensive Evaluation of the Sustainable Development of Power Grid Enterprises Based on the Model of Fuzzy Group Ideal Point Method and Combination Weighting Method with Improved Group Order Relation Method and Entropy Weight Method

Dai

Niu

2017

Sustainability

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“…For instance, Deng et al [43] adopted the fuzzy matter-element model and the improved entropy weight method to evaluate the health of river in the Taihu Plain. Then, Shao et al [44] also conducted a performance evaluation to analyze the port supply chain, in which they used the fuzzy matter-element analysis method. Similarly, based on the matter-element extension method, Li et al [45] studied the risks of the Qinghai-Tibet power grid interconnection project under the fuzzy theory environment.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment for Engagement in Sharing Economy of Manufacturing Enterprises: A Matter–Element Extension Based Approach

Xiao

Wan

et al. 2019

Sustainability

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At present, manufacturing enterprises in China and across the world are undergoing a critical period of transformation and upgrading for sustainable development, with various obstacles such as financing difficulties and imperfect production facilities. The emergence of the sharing economy may provide a feasible solution for manufacturing enterprises, but meanwhile, unpredictable risks are bound to arise in the process of Engagement in the Sharing Economy of Manufacturing Enterprises (ESEME), and the assessment for the risk of ESEME is an important issue that requires special attention. Based on the characteristics of ESEME, a risk assessment indicator system is constructed, and a matter-element extension based approach is proposed to assess the risk of ESEME. The comprehensive risk value of ESEME can be calculated, and by means of sensitivity analysis and combinatory analysis, sensitive risk indicators and the risk type of indicators are identified. The innovation is embodied in three aspects: the sharing economy is studied by the matter-element extension method, the minimum deviation weight is adopted, and the risk is identified by sensitivity analysis and combinatory analysis. This assessment method is applied to enterprise E, and good results are obtained. This work is conducive to promoting manufacturing enterprises to engage in the sharing economy, which provides an effective vision for enterprises to implement risk management strategies, and also offers references for the government to formulate relevant policies for ESEME.

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Review of Fuzzy Techniques in Maritime Shipping Operations

Ries¹,

González-Ramírez

Voß

2017

Lecture Notes in Computer Science

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Logistics is central to world trade. It encompasses a wide range of activities, including the production, handling, storage, and distribution of goods, as well as the use of communication technologies needed for the flow of information to meet consumer demand. In order for these activities to be run in an efficient manner, good, or optimal, decisions are to be taken in relation to various aspects of a logistics system, including the design of the physical and the digital infrastructure on which the logistics network will operate, the interaction between various entities in the network, and the flow of products and information. The breadth and the range of tasks involved in logistics make the management and coordination of the activities complex and challenging, and require advanced methods for the design, planning, and control of the system. This is where computational tools are of competitive advantage, offering ways to capture, store, visualize, and share information to solve complex problems employing optimization techniques, to evaluate systems and policies using simulation, and to enable collaborative schemes through the use of algorithmic mechanisms. The use of computational technology facilitates addressing these challenges within reasonable amounts of computational time and supports decision-making. The International Conference on Computational Logistics (ICCL) is a forum where recent advances on the topic are presented and discussed. This volume offers a selection of 38 peer-reviewed papers submitted to the 8th International Conference on Computational Logistics (ICCL 2017), held in Southampton during October 18-20, 2017. The papers are indicative of the recent work that is being undertaken in computational logistics, categorized in what emerged as four sufficiently distinct but

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Performance evaluation of port supply chain based on fuzzy-matter-element analysis

Cited by 10 publications

References 5 publications

Comprehensive Evaluation of the Sustainable Development of Power Grid Enterprises Based on the Model of Fuzzy Group Ideal Point Method and Combination Weighting Method with Improved Group Order Relation Method and Entropy Weight Method

Comprehensive Evaluation of the Sustainable Development of Power Grid Enterprises Based on the Model of Fuzzy Group Ideal Point Method and Combination Weighting Method with Improved Group Order Relation Method and Entropy Weight Method

Risk Assessment for Engagement in Sharing Economy of Manufacturing Enterprises: A Matter–Element Extension Based Approach

Review of Fuzzy Techniques in Maritime Shipping Operations

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