Complementarity Evaluation Index System and Method of Multiple Power Sources

Zhao, Yi; Wan, Jiahao; Feng, Donghan; Gou, Xiaokan; Yu, Bing

doi:10.1109/scems48876.2020.9352432

Cited by 4 publications

(6 citation statements)

References 8 publications

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“…This characteristic enables the creation of numerous matrices distributed between local federated hospital clients and central servers. However, the classical version of the TOP-SIS method has some weaknesses: (1) insensitive to small values [118], (2) distorts the original information [119], (3) ranks reversal flaws [120], and (4) relatively small distance between the positive and negative ideal solutions [121][122][123]. Therefore, an improvement in TOPSIS is considerably warranted.…”

Section: Mcdm Methodsmentioning

confidence: 99%

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Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

Alamoodi

Zaidan

Albahri

et al. 2023

Complex Intell. Syst.

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When COVID-19 spread in China in December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemic’s main scientific disciplines. For example, social scientists are concerned with reducing the psychological impact on the human mental state especially during lockdown periods. Computer scientists focus on establishing fast and accurate computerized tools to assist in diagnosing, preventing, and recovering from the disease. Medical scientists and doctors, or the frontliners, are the main heroes who received, treated, and worked with the millions of cases at the expense of their own health. Some of them have continued to work even at the expense of their lives. All these studies enforce the multidisciplinary work where scientists from different academic disciplines (social, environmental, technological, etc.) join forces to produce research for beneficial outcomes during the crisis. One of the many branches is computer science along with its various technologies, including artificial intelligence, Internet of Things, big data, decision support systems (DSS), and many more. Among the most notable DSS utilization is those related to multicriterion decision making (MCDM), which is applied in various applications and across many contexts, including business, social, technological and medical. Owing to its importance in developing proper decision regimens and prevention strategies with precise judgment, it is deemed a noteworthy topic of extensive exploration, especially in the context of COVID-19-related medical applications. The present study is a comprehensive review of COVID-19-related medical case studies with MCDM using a systematic review protocol. PRISMA methodology is utilized to obtain a final set of (n = 35) articles from four major scientific databases (ScienceDirect, IEEE Xplore, Scopus, and Web of Science). The final set of articles is categorized into taxonomy comprising five groups: (1) diagnosis (n = 6), (2) safety (n = 11), (3) hospital (n = 8), (4) treatment (n = 4), and (5) review (n = 3). A bibliographic analysis is also presented on the basis of annual scientific production, country scientific production, co-occurrence, and co-authorship. A comprehensive discussion is also presented to discuss the main challenges, motivations, and recommendations in using MCDM research in COVID‐19-related medial case studies. Lastly, we identify critical research gaps with their corresponding solutions and detailed methodologies to serve as a guide for future directions. In conclusion, MCDM can be utilized in the medical field effectively to optimize the resources and make the best choices particularly during pandemics and natural disasters.

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Section: Mcdm Methodsmentioning

confidence: 99%

“…Step 1: TOPSIS as FDMD. Literature has indicated many improved versions of TOPSIS to overcome the classical TOPSIS flaws [119,[122][123][124][125][126][127][128][129]. For to avoid a potential rank reversal when absolute ideal solutions used is adopted in this study for prioritization.…”

Section: Mcdm Methodsmentioning

confidence: 99%

Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

Alamoodi

Zaidan

Albahri

et al. 2023

Complex Intell. Syst.

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show abstract

“…However, the classical TOPSIS method's use of Euclidean distance is associated with certain limitations, including the insensitivity to small values, the distortion of original information, The distance between the positive-ideal-solution and negative-ideal-solution relatively small [40], and the rank reversal flaws [41]. Several enhanced forms of TOPSIS have been introduced in scholarly works to address these limitations [38][39][40][41][42][43][44][45][46]. For instance, [42] used the Canberra distance as an alternative to the Euclidean distance.…”

Section: Related Workmentioning

confidence: 99%

“…Similarly, [43] and [51] used contact-vector-distance, generalised-hybrid-distance, and hamming distance for the same purpose. In pursuit of the same objective, additional groups of scholars have incorporated grey relational analysis with TOPSIS, as demonstrated in sources [42][43][44][45][46]. The primary advantages of the Grey relational analysis method include its simplicity in calculations, reliance on original data, and effectiveness in making business decisions [52].…”

Section: Related Workmentioning

confidence: 99%

A Decision Cloud Ranking Approach Based on Privacy and Security in Blockchain E-Health Industry 4.0 Systems

Qahtan,

Yatim,

Osman

et al. 2023

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E-health Industry 4.0 systems ranking based on Blockchain is a multi-criteria decision-making (MCDM) problem, considering the multiple evaluation properties, their significance, and data variety. The final closeness between the evaluation sample and ideal solutions also constitutes an optimisation problem. To the authors’ knowledge, no study has provided a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems based on Blockchain. Consequently, this study proposes and discusses a multi-privacy and security ranking approach solution for E-health Industry 4.0 systems, utilising the SFS-FWZIC method to address the significance of properties issue and the Grey-TOPSIS method to tackle data variation, multiple evaluation properties, and the ideal solutions optimisation problem. The methodology of the proposed approach consists of three sections. First, three decision matrices are constructed based on the intersection of E-health systems with the mentioned properties, intersecting Electronic Health Records (EHRs), Electronic Medical Records (EMRs), and Personal Health Records (PHRs) with seven properties. Second, the weights of each privacy and security property are calculated using the SFS-FWZIC method. Finally, the weights determined by the SFS-FWZIC method and the three decision matrices are input into the Grey-TOPSIS method to rank E-health systems across the three categories. The findings reveal the following: (1) The SFS-FWZIC method effectively assigned weights to privacy and security properties, with access control achieving the highest significance weight (0.1934) and Secure-search receiving the lowest weight (0.0603). (2) The Grey-TOPSIS method efficiently ranked E-health systems across the three categories based on various parameters, including α=0.1,α=0.3,α=0.5,α=0.7, and α=0.9. Sensitivity and correlation analysis were conducted to evaluate the results, revealing high correlation results based on each α value across all discussed scenarios of changing property weights. The implications of this study can lead to better decision-making, improved security and privacy, increased competition, and widespread adoption, ultimately contributing to more efficient and effective healthcare delivery.

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“…In addition, as an important guarantee for the stable operation of the power system, their evaluation methods are also worthy of reference. Zhao et al [13], based on the improved AHP and TOPSIS methods, proposed a complementary evaluation index system of multiple power sources. Hu et al [14] comprehensively studied the thermal economics of capacity-based and power-based energy storage, considered the political, environmental, and social impacts, and frst proposed the thermal-economic-beneft ratio.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of New Power System Based on Entropy Weight-TOPSIS Method

Liu¹,

Wang²,

Li³

et al. 2022

Mathematical Problems in Engineering

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Under the background of achieving the carbon peaking and carbon neutrality goals on time in China, this study constructs a new power system evaluation index system with new energy as the main body from four aspects of “source, network, load, and storage.” This study attempts to use appropriate subjective and objective weighting methods to reasonably distribute index weights and construct an effective, reasonable, scientific, systematic, and comprehensively covered key new power system characteristic index model. From 2017 to 2020, the relevant data for the four dimensions of “source, network, load, and storage” of the power system of three provinces are selected for empirical analysis. The results show that, in the past five years, the performance of the power supply side and network side of the power system in the three provinces was the best and the performance of the load side and energy storage side was slightly insufficient. Specifically, the system outage duration, the number of intelligent sensing terminals, etc., still need to be further optimized and improved.

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Complementarity Evaluation Index System and Method of Multiple Power Sources

Cited by 4 publications

References 8 publications

Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

A Decision Cloud Ranking Approach Based on Privacy and Security in Blockchain E-Health Industry 4.0 Systems

Evaluation of New Power System Based on Entropy Weight-TOPSIS Method

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