Evaluation of metaverse integration alternatives of sharing economy in transportation using fuzzy Schweizer-Sklar based ordinal priority approach

Sustainable E-scooter Parking Operation in Urban Areas Using Fuzzy Dombi Based RAFSI Model

Performance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodology

This research work proposes a new hybrid framework to assess suitable sites and technical potentials for large-scale solar photovoltaic (PV) systems by integrating two multi-criteria decision-making (MCDM) techniques. The evaluation of sites for PV plants was performed using the MCDM method, taking into account a wide range of variables, including climate, technical, geographical, and economic variables, with factor weights determined using the CRITIC technique. Five Saudi Arabian cities with abundant solar radiation served as illustrations of this study’s framework. For classification, the TOPSIS method was employed to rank the five alternatives. The results show that Riyadh is ranked first with a performance score of 72%, followed by Jeddah with a performance score of 65%, and the remaining three cities, namely, Al Ahsa, Dammam, and Abha scored less than 50%. Lastly, the reliability and robustness of the results obtained were examined using sensitivity analysis. The findings of this study can be used to pinpoint possible places that could be used to build solar power plants and to promote the expansion of generating facilities and electrical grids.

/pdf/a-critic-topsis-multi-criteria-decision-making-approach-for-35hzexor.pdf

A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm

Solar PV power plant site selection using a GIS-based non-linear multi-criteria optimization technique

The power transformer is one of the most critical facilities in the power system, and its running status directly impacts the power system's security. It is essential to research the risk priority evaluation of the power transformer parts. Failure mode and effects analysis (FMEA) is a methodology for analyzing the potential failure modes (FMs) within a system in various industrial devices. This study puts forward a hybrid FMEA framework integrating novel hesitant fuzzy aggregation tools and CRITIC (Criteria Importance Through Inter-criteria Correlation) method. In this framework, the hesitant fuzzy sets (HFSs) are used to depict the uncertainty in risk evaluation. Then, an improved HFWA (hesitant fuzzy weighted averaging) operator is adopted to fuse risk evaluation for FMEA experts. This aggregation manner can consider different lengths of HFSs and the support degrees among the FMEA experts. Next, the novel HFWGA (hesitant fuzzy weighted geometric averaging) operator with CRITIC weights is developed to determine the risk priority of each FM. This method can satisfy the multiplicative characteristic of the RPN (risk priority number) method of the conventional FMEA model and reflect the correlations between risk indicators. Finally, a real example of the risk priority evaluation of power transformer parts is given to show the applicability and feasibility of the proposed hybrid FMEA framework. Comparison and sensitivity studies are also offered to verify the effectiveness of the improved risk assessment approach.

/pdf/risk-priority-evaluation-of-power-transformer-parts-based-on-1280whwm.pdf

Risk priority evaluation of power transformer parts based on hybrid fmea framework under hesitant fuzzy environment

Undeniably, adjustable power supply has many applications in ion chromatography. One example would be that a safe and stable adjustable power supply is indispensable for the driving part of the suppressor in ion chromatography. However, the traditional design of adjustable power supply suffers from high complexity, leading to its incompetence for practical engineering under the background of the continuous shortage of chips. Therefore, a method for an adjustable power supply module for ion chromatography is proposed and studied. Firstly, the microprocessor is used to output the MCPWM wave to control the output voltage of the flyback transformer. Secondly, the OCADC is used to collect the feedback voltage. Thirdly, the duty cycle of the MCPWM is adjusted using the PID algorithm to achieve constant voltage output. Further, hardware overcurrent protection is realized through MCPWM fast interrupt function. By this method, an adjustable power supply with a wide voltage output range, high current, and low voltage ripple can be output with less chip resources. Both the theoretical design scheme and the specific hardware circuit of this design is presented. Moreover, a simulation verification analysis is made. Finally comes the verification of the feasibility of this method.

Design and Implementation of Adjustable Voltage Source Module for Ion Chromatography

The fuzzy synthetic evaluation method and the example that the fuzzy synthetic evaluation is applied in ecology environment impact assessment along the Xi'ning-Golmud section among the Qinghai-Tibet railway are introduced in detail so as to reveal the important significance and value of the fuzzy synthetic evaluation.

Application on Fuzzy Synthetic Evaluation in Ecology Environment Impact Assessment along Xi'Ning-Golmud Section among Qinghai-Tibet Railway

. The power transformer is one of the most critical facilities in the power system, and its running status directly impacts the power system's security. It is essential to research the risk priority evaluation of the power transformer parts. Failure mode and effects analysis (FMEA) is a methodology for analyzing the potential failure modes (FMs) within a system in various industrial devices. This study puts forward a hybrid FMEA framework integrating novel hesitant fuzzy aggregation tools and CRITIC (Criteria Importance Through Inter-criteria Correlation) method. In this framework, the hesitant fuzzy sets (HFSs) are used to depict the uncertainty in risk evaluation. Then, an improved HFWA (hesitant fuzzy weighted averaging) operator is adopted to fuse risk evaluation for FMEA experts. This aggregation manner can consider different lengths of HFSs and the support degrees among the FMEA experts. Next, the novel HFWGA (hesitant fuzzy weighted geometric averaging) operator with CRITIC weights is developed to determine the risk priority of each FM. This method can satisfy the multiplicative characteristic of the RPN (risk priority number) method of the conventional FMEA model and reflect the correlations between risk indicators. Finally, a real example of the risk priority evaluation of power transformer parts is given to show the applicability and feasibility of the proposed hybrid FMEA framework. Comparison and sensitivity studies are also offered to verify the effectiveness of the improved risk assessment approach.

Risk priority of power transformer parts based on hybrid fmea framework under hesitant fuzzy environment

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Risk priority evaluation of power transformer parts based on hybrid fmea framework under hesitant fuzzy environment

Design and Implementation of Adjustable Voltage Source Module for Ion Chromatography

Application on Fuzzy Synthetic Evaluation in Ecology Environment Impact Assessment along Xi'Ning-Golmud Section among Qinghai-Tibet Railway

Risk priority of power transformer parts based on hybrid fmea framework under hesitant fuzzy environment