An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision

Liu, Xinglei; Liu, Juhua; Ren, Kezheng; Liu, Xiaoming; Liu, Jiacheng

doi:10.1016/j.energy.2022.125327

Cited by 14 publications

(3 citation statements)

References 50 publications

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“…Furthermore, as discussed in Section 1.2 , the fuzzy evolution of the DEMATEL technique can effectively deal with linguistic evaluations provided by a panel of decision-makers. These evaluations can be indeed represented by fuzzy numbers instead of crisp values, something that guarantees to achieve more precise results [ 61 ]. For these reasons, the fuzzy DEMATEL is herein proposed to support the problem of sensors placement in in the food industry, specifically in an Italian winery, given its proven capability of: involving a panel of decision-makers with proven experience in the field and integrating elements of the fuzzy set theory to effectively treat human evaluations of preference and produce meaningful results; analyzing dependence relations existing within a set of decision-making elements, in our case components and subsystems of manufacturing plants as candidates for locating monitoring sensors; establishing that restricted set of elements characterized by the higher degree of interdependence, then likely impacting all the other elements (in other words, this means that locating a sensor in proximity of a component with an associated higher degree of interdependence increases the probability of detecting failures potentially involving other related components).…”

Section: Methodsmentioning

confidence: 99%

Where to Place Monitoring Sensors for Improving Complex Manufacturing Systems? Discussing a Real Case in the Food Industry

Pellicer

Tungekar

Carpitella

2023

Sensors

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Industry 4.0 technologies offer manufacturing companies numerous tools to enhance their core processes, including monitoring and control. To optimize efficiency, it is crucial to effectively install monitoring sensors. This paper proposes a Multi-Criteria Decision-Making (MCDM) approach as a practical solution to the sensor placement problem in the food industry, having been applied to wine bottling line equipment at a real Italian winery. The approach helps decision-makers when discriminating within a set of alternatives based on multiple criteria. By evaluating the interconnections within the different equipment, the ideal locations of sensors are suggested, with the goal of improving the process’s performance. The results indicated that the system of electric pumps, corker, conveyor, and capper had the most influence on the other equipment which are then recommended for sensor control. Monitoring this equipment will result in the early discovery of failures, potentially also involving other dependant equipment, contributing to enhance the level of performance for the whole bottling line.

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Section: Methodsmentioning

confidence: 99%

Where to Place Monitoring Sensors for Improving Complex Manufacturing Systems? Discussing a Real Case in the Food Industry

Pellicer

Tungekar

Carpitella

2023

Sensors

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“…Meanwhile, Giri et al [21] proposed a Pythagorean fuzzy DEMATEL method to analyze relationships between criteria in supplier selection. To analyze relationships between indicators in multi-energy transaction evaluation, Liu et al [22] used an interval type-2 fuzzy DEMATEL method. In addition, Vardopoulos [23] employed a triangular fuzzy DEMATEL method to identify the critical sustainable development factors.…”

Section: Decision-making Methodsmentioning

confidence: 99%

A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment

Lü

Li²

2023

Sustainability

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Developing hydrogen-based multi-microgrid systems (HBMMSs) is vital to the low-carbon energy transition, which can promote the utilization of renewable energy and reduce carbon emissions. However, there have been no studies presenting a sustainability evaluation of HBMSSs. Multi-attribute decision-making (MADM) methods are widely used to perform a sustainability evaluation. This paper develops a triangular intuitionistic fuzzy framework to make a comprehensive evaluation of HBMMSs from the perspective of sustainability. Firstly, a sustainability evaluation criteria system including economic, social, environmental, technical, and coordination criteria is established. Secondly, the paper proposes a hybrid fuzzy decision-making method. A triangular intuitionistic fuzzy decision-making trial and evaluation laboratory technique is used to analyze the correlation between criteria and sub-criteria and provides a basis for determining their fuzzy densities. A ranking method combining the triangular intuitionistic fuzzy number, fuzzy measure, and Choquet integral is used to rank the alternatives and choose an optimal one. Moreover, a case study is performed to validate the practicability of the developed framework. Finally, sensitivity analysis, scenario analysis, and comparative analysis are conducted to verify the robustness and effectiveness of the framework. As such, this study provides a guide for evaluating the sustainability of HBMMSs.

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“…References 34 build the power system economic operation evaluation model based on the extension cloud model, solve the membership of the extension cloud model and the matter element to be evaluated [35][36] , and references 37 build the equipment risk evaluation cloud model based on the normal distribution theory and calculate the graded membership of quantitative indicators. References 38 proposed a method to combine the rough cloud model with DEMATEL. The rough cloud model can deal with the interval fuzziness of expert evaluation.…”

Section: Introductionmentioning

confidence: 99%

New energy power system security and stability assessment based on Apirori and DEMATEL-AEW- dynamic weighted cloud model

Maihemuti

Wang

et al. 2023

Preprint

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With the rapid development of new energy in China, the large-scale grid connection of new energy continues to rise, and the operation safety of new energy power systems is facing a severe test. Therefore, correct identification and assessment of security risks become an important prerequisite to effectively improve the operation safety level of the new energy power systems. In order to accurately and effectively complete the security and stability assessment of the new energy power system operation, a new energy power system operation security assessment model based on the fuzzy DEMATEL-AEW cloud model was built. Firstly, the paper collects the index set that affects the safe and stable operation of the new energy power system, and selects 15 indexes that have a great impact on the safe and stable operation of the system through the association rules mining algorithm (Apriori), and establishes the evaluation index system for the safe and stable operation of the new energy power system. Then, the fuzzy decision-making laboratory analysis method (DEMATEL) is used to determine the interaction between the evaluation indicators, draw the network structure diagram between the evaluation indicators, and determine the subjective weight of each evaluation indicator. The objective weight of each evaluation index is determined by using the anti-entropy weight (AEW) method, and the comprehensive weight of the evaluation index is calculated by using the dynamic weighting of cooperative game theory; Finally, the weight results are combined with the evaluation layer of cloud model to evaluate the safety of all levels of safety assessment indicators, and the simulation analysis of the example is completed through MATLAB. The results show that the operation security status level of the power system is between average and good, not only taken some effective measures to control some risk factors, but also normal inspection and monitoring are arranged; At the same time, carried out the comparative analysis of the simulation results in the security assessment of power system operation to verify the feasibility and accuracy of evaluation methods, and has guiding significance for the security assessment of power system.

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An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision

Cited by 14 publications

References 50 publications

Where to Place Monitoring Sensors for Improving Complex Manufacturing Systems? Discussing a Real Case in the Food Industry

Where to Place Monitoring Sensors for Improving Complex Manufacturing Systems? Discussing a Real Case in the Food Industry

A Multi-Criteria Framework for Sustainability Evaluation of Hydrogen-Based Multi-Microgrid Systems under Triangular Intuitionistic Fuzzy Environment

New energy power system security and stability assessment based on Apirori and DEMATEL-AEW- dynamic weighted cloud model

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