Expanding Grey Relational Analysis With the Comparable Degree for Dual Probabilistic Multiplicative Linguistic Term Sets and its Application on the Cloud Enterprise

Xie, Wanying; Zhang, Xu; Herrera‐Viedma, Enrique

doi:10.1109/access.2019.2919505

Cited by 13 publications

(5 citation statements)

References 57 publications

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“…Kung and Wen [54] used GRA algorithm to solve the given grey MADM. Xie et al [55] extended the grey relational analysis with the comparable degree for dual probabilistic multiplicative linguistic term set.…”

Section: Introductionmentioning

confidence: 99%

Research on the English Classroom Teaching Effect Evaluation with Interval-Valued Intuitionistic Fuzzy Grey Relational Analysis Method

Zhang

2022

Mathematical Problems in Engineering

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The English classroom teaching effect evaluation is looked as the multiattribute group decision-making (MAGDM). Thus, a useful MAGDM algorithm is needed to cope with it. Depending on the classical GRA process and interval-valued IFSs (IVIFSs), this study builds the IVIF-GRA process to assess the English classroom teaching effect. First of all, the concepts of IVIFSs are reviewed. In addition, the weights of criteria are derived through the CRITIC method. Afterwards, the GRA model is extended to IVIFSs to get the final result of the alternative. Therefore, all alternatives could be ranked and the optimal one with English classroom teaching effect can be identified. At last, a given numerical example and some given comparative studies are obtained. The analysis results show that the defined algorithms are effective for solving the English classroom teaching effect evaluation.

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Section: Introductionmentioning

confidence: 99%

Research on the English Classroom Teaching Effect Evaluation with Interval-Valued Intuitionistic Fuzzy Grey Relational Analysis Method

Zhang

2022

Mathematical Problems in Engineering

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“…Gray Relational Analysis (GRA) is also called Deng's Gray Analysis Model [22,29]. It is one of the most widely used models.…”

Section: Gray Relational Analysismentioning

confidence: 99%

Secured MCDM Model for Crowdsource Business Intelligence

et al. 2023

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In the current era, there are a plethora of mobile phone companies rendering different features. It is challenging to distinguish the best and create correlations among them. However, this can be accomplished through crowdsourcing. Crowdsourcing is the process of gathering information from multiple sources, and we use the AHP (Analytic Hierarchy Process) process to determine which company’s model is the best among many. The weight value of each model is compared to the assigned values, and if one of the company product weights is greater than the assigned weight, that product is the best. Eventually, we can use this process to select the most preferred and best mobile phone model from among all other models. Gray Relational Analysis (GRA) is one of the most popular models, employing a grey co-efficient that estimates the data items by ranking. This model defines a process’s situation or state as black with no information and white with perfect information. In this work, AHP initially assumes criteria weights and assigns rank with the CR (Consistency Ratio) of 1.5%. The criteria weights are re-assigned based on the outcomes, and the CR remains constant as 1.5%. This work also provides an environmental-based attribute access control system, which adds the strength to the system by providing security and the integrity. So, this proposed work performs as a decision support system combined with the security enhancements, and hence it becomes a complete framework to provide a solution to a target application. The novelty of the proposed work is the combination of the crowdsourcing with the recommender system on a secured framework.

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“…., m), an analysis method can be used to calculate the grey relational degree (GRD) between X and C k to express the influence of C k on X . This method is known as GRA [27], [28].…”

Section: ) Data Communicationmentioning

confidence: 99%

A Novel Power Transformer Condition Monitoring System Based on Wide-Band Measurement of Core Earth Signals and Correlation Analysis With Multi-Source Data

Pang²,

Dong

et al. 2019

IEEE Access

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On-line condition monitoring and real-time fault detection are essential to protect power transformers from unscheduled outage of services. The core earth signals (CES) are valuable for fault detection and diagnosis of power transformers, as they are related to multiple transformer defects and faults, such as core multi-point earthing fault and core deep saturation. Moreover, the CES also contain valuable information of transient impulses intruded into power transformers such as very fast transient overvoltage (VFTO) impulses. This paper develops a novel power transformer condition monitoring system (NCMS), which makes full use of CES to detect and diagnose the external impulses and internal defects and faults. Firstly, the NCMS carries out the wide-band measurement of CES. Secondly, the NCMS obtains data from supervisory control and data acquisition system (SCADAS), dissolved gases analysis (DGA) system, and other monitoring systems, and correlates these data using grey relational analysis (GRA). Finally, the NCMS detects the impulses and diagnoses defects and faults based on the correlation relationships, then presents the monitoring results to the users. This novel system has been applied to the field and successfully diagnosed many defects and faults. It has high accuracy (< 3%) at the power and harmonic frequencies and possesses the capability to capture VFTO-pulses. INDEX TERMS Correlation analysis, core earth signal (CES), condition monitoring, industry applications, power transformer, wide-band measurement.

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Expanding Grey Relational Analysis With the Comparable Degree for Dual Probabilistic Multiplicative Linguistic Term Sets and its Application on the Cloud Enterprise

Cited by 13 publications

References 57 publications

Research on the English Classroom Teaching Effect Evaluation with Interval-Valued Intuitionistic Fuzzy Grey Relational Analysis Method

Research on the English Classroom Teaching Effect Evaluation with Interval-Valued Intuitionistic Fuzzy Grey Relational Analysis Method

Secured MCDM Model for Crowdsource Business Intelligence

A Novel Power Transformer Condition Monitoring System Based on Wide-Band Measurement of Core Earth Signals and Correlation Analysis With Multi-Source Data

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