Assessment of Smart Grid Systems for Electricity Using Power Maclaurin Symmetric Mean Operators Based on T-Spherical Fuzzy Information

Naseem, Areeba; Ullah, Kifayat; Akram, Maria; Božanić, Darko; Ćirović, Goran

doi:10.3390/en15217826

Cited by 10 publications

(12 citation statements)

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“…Higher ratings were given to the sub-criteria of society and environment than to the other. Naseem et al (2022) proposed a MCDM model to analyze performance of the smart grids in Pakistan based on T-Spherical Fuzzy Power Maclaurin Symmetric Mean (TSFPMSM) operator. Narayanamoorthy et al (2023) introduced a Linear Diophantine Hesitant Fuzzy Sets (LDHFS) to evaluate five alternatives of energy storage technology in India.…”

Section: Literature Reviewmentioning

confidence: 99%

The determinants of reliable smart grid from experts’ perspective

et al. 2023

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A smart grid integrates communication networks with the conventional electrical grid. Due to their potential, smart grids are anticipated to achieve widespread deployment. A key component of the success and adoption of smart grids is reliability. Without knowing users’ impressions of the reliability of the smart grid, users will not easily accept and participate in it or its services. However, very few studies address smart grid reliability from the perspective of users. Thus, there is a urgent need to identify key factors that affect smart grid reliability from the user’s viewpoint. The goal of this paper is to examine user perceptions of smart grid reliability and assess their success factors in an effort to close the gap in the literature. This paper propose a model to investigate and determine the most crucial factors that affect the smart grid's reliability based on the Multiple-criteria decision-making (MCDM) method. Firstly, a comprehensive literature analysis was conducted to determine the criteria and sub-criteria used to construct the model; then, the model is constructed using fifteen sub-criteria covering big data, network systems, and grid efficiency criteria; finally, the Fuzzy Analytic Hierarchy Approach (FAHP) and fuzzy triangular numbers are used to evaluate and prioritize the criteria. Twenty smart grid experts were consulted to collect data. The results indicate the significance of the ‘Big Data’ criterion, closely followed by ‘Grid Efficiency’ criterion. Additionally, it is discovered that the sub-criteria of ‘Privacy’ and ‘Interoperability’ had a significant impact on the reliability of the smart grid. The sensitivity analysis shows the variation of factors ranking and the stability and robustness of the model and the results. The research presented in this study has practical applications for academics, engineers, decision-makers, and stakeholders.

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Section: Literature Reviewmentioning

confidence: 99%

The determinants of reliable smart grid from experts’ perspective

et al. 2023

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“…In many real-world disciplines, fuzzy set theory offers an approach to representing uncertainties that are frequently utilized to address issues with uncertainty modeling including ambiguous and unclear information (Naseem et al 2022 ; Wang 2021 ). Zadeh ( 1965 ) created the idea of a standard fuzzy set, where a membership function can reflect hazy and equivocal information in human opinion and judgments, for the purpose of conveying the ambiguity and uncertainties inherent in physical decision-making circumstances.…”

Section: Literature Review and Research Vacanciesmentioning

confidence: 99%

“…As an alternative to conventional fuzzy sets, Atanassov ( 1986 ) formulated the conception of an intuitionistic fuzzy set that protrudes the conventional fuzzy set by consolidating a membership grade of negativity along with a membership grade of positivity within the interval [0, 1], which represents the appropriate strategy to recognize a way of human thinking (Naseem et al 2022 ; Dai et al 2023 ). The intuitionistic fuzzy theory becomes more resilient and prevalent in real-world issues like clustering analysis, decision analysis, location (site) selection, pattern identification, risk assessment, situation assessment, and supplier selection (Dai et al 2023 ; Jia et al 2023 ; Qiao and Wang 2023 ; Varshney et al 2022 ).…”

Section: Literature Review and Research Vacanciesmentioning

confidence: 99%

“…The stringent requirement that the sum is at most 1 must be met by the membership grades of positivity, neutrality, and negativity in the picture fuzzy structure (Garg et al 2021 ; Singh and Ganie 2022 ). To ensure that the total of the membership grades for positivity, neutrality, and negativity did not exceed 1, the membership grade of neutrality, or degree of abstinence, in contrast to the intuitionistic fuzzy model, was established (Jan et al 2021 ; Naseem et al 2022 ). It can be revealed that by converting the two-dimensional plane consisting of positivity- and negativity-membership to the three-dimensional space comprising of positivity-, neutrality-, and negativity-membership, the picture fuzzy model can discern the assessment information more explicitly (Jin et al 2021 ; Wang 2022 ).…”

Section: Literature Review and Research Vacanciesmentioning

confidence: 99%

“…T-SF sets can be deployed to cope with exceedingly uncertain information, enabling decision-makers (or analysts) to evaluate in a broader variety, with more flexibility, and to manage complex data (Ali et al 2022 ; Naseem et al 2022 ; Wang and Ullah 2022 ). T-SF sets are a beneficial tool for dealing with ambiguity and uncertainty when extra answers of the four forms, i.e., positivity, neutrality, negativity, and refusal, are sought in multiple-criteria assessment and selection issues (Chen 2022a ; 2022c ; Naz et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

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Multiple criteria decision analytic methods in management with T-spherical fuzzy information

Chen

2023

Artif Intell Rev

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With a focus on T-spherical fuzzy (T-SF) sets, the aim of this paper is to create a split-new appraisal mechanism and an innovative decision analytic method for use with multiple-criteria assessment and selection in uncertain situations. The T-SF frame is the latest recent advancement in fuzzy settings and uses four facets (consisting of membership grades of positivity, neutrality, negativity, and refusal) to elucidate complex uncertainties, thereby evidently reducing information loss, in anticipation of fully manifesting indistinct and equivocal information. This paper adds to the body of knowledge regarding multiple criteria choice modeling by raising T-SF correlation-oriented measurements connected to the fixed and displaced ideal/anti-ideal benchmarks and by creating an approachable appraisal mechanism for advancing a T-SF decision analytic methodology. Consider, in particular, the performance ratings of available options in terms of judging criteria under the T-SF type of uncertainties. This research gives correlation-oriented measurements focusing on two varieties of maximum and square root functions in T-SF situations, which serve as a solid foundation for an efficacious appraisal mechanism from two views of anchored judgments corresponding to the fixed and displaced benchmarks. The T-SF Minkowski distance index is generated to integrate the outranking and outranked identifiers relying on correlation-oriented measurements for figuring out the local outranking and outranked indices. The T-SF decision analytic procedures are constructed using a new appraisal significance index that is founded on certain valuable insights of correlation-oriented maximizing and minimizing indices as well as global outranking and outranked indices. Additionally, a concrete location selection dilemma is dealt with in this research to showcase the applicability and efficiency of the suggested T-SF decision analytic methodology. Sensitivity analyses and comparative studies are carried out to investigate substantial modifications in pertinent parameters and to confirm the robustness of the predominance relationships among the available options. The suggested approaches are adaptable, flexible, and reliable, according to the application outcomes and comparison findings. This research provides four scientific contributions: (1) the utilization of T-SF correlation coefficients as the basis for prioritization analysis involving multiple criteria assessments, (2) the evolution of the T-SF Minkowski distance index to model outranking decision-making processes, (3) the creation of a reliable appraisal mechanism based on T-SF correlation-oriented measurements for intelligent decision support, and (4) the advancement of computational tools and procedures (e.g., correlation-oriented maximizing and minimizing indices, global outranking and outranked indices, and appraisal significance indices) to perform the decision analytic procedure in T-SF settings. In terms of managerial implications, the solution findings support the employment of...

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