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Technology affects almost every aspect of life and is constantly changing. Digital communication technology has made it easier and faster to connect people all over the world. Digital technology is used in varies fields, including business, industries, companies, and educational institutions. There are various benefits of technology; it is also ass...
Citations
... Yolcu [45] defined bipolar spherical fuzzy soft sets. Alothaim [46] defined Hasse diagram of the interval-valued complex T-spherical partial order set. Yang et al. [47] proposed interval-valued T-spherical fuzzy Muirhead mean operator. ...
In this paper, some T-spherical hesitant fuzzy Bonferroni mean aggregation operators have been developed by extending the Bonferroni mean to the T-spherical hesitant fuzzy environment. The attribute weights are calculated by using the Shapley function to model interaction by considering the contribution of single attribute to the group attributes. The T-spherical hesitant fuzzy Shapley Bonferroni mean operator and the T-spherical hesitant fuzzy Shapley Dombi Bonferroni mean operator have been developed. Some properties of the new developed T-spherical hesitant fuzzy aggregation operators have been studied and some special cases of the new operators have been proposed. The new multiple attribute decision making method based on the new T-spherical hesitant fuzzy aggregation operators has been presented. The selection of the shared project investment is given to illustrate the new method.
... Technology is used in various fields, such as economics, health, information, business, and education (Alothaim, Hussain, & Al-Hadhrami, 2022). Rapid developments in the field of technology aside from facilitating human life, can become a serious loophole for cybercrime which is worrying (Horowitz, 2020). ...
The expanding information and communication technology landscape has led to complex security challenges, marked by dynamic and evolving cyber threats including hacking, malware, phishing, data theft, fraud, and Distributed Denial of Service (DDoS). Notably, the United States has faced the highest incidence of cybercrime cases from 2017 to 2021, affecting 2.9 billion victims and resulting in a cumulative material loss of US$18.7 billion during this period. This research centers on the United States, acknowledged as the primary target for global cybercriminals, comprising 38% of cybercrime targets. This research aims to find out the strategic efforts of the United States in overcoming cybercrime that befell its country so that it becomes the best country in cases of alleviating and controlling cases of cyberattacks even though it is also the country with the highest cases of cyberattacks in the world. Utilizing a qualitative research method, the study demonstrates that the United States collaborates systematically and synergistically with state governments, employing a centralized approach to delegate specific tasks and authorities. The study concludes that the United States has implemented the National Cybersecurity Strategy (NCS) 2023 program, aiming to establish a strategic environment and ecosystem by maintaining vital infrastructure and centralized integration.
... T-SF sets have drawn a lot of interest from academics because they boost the modeling capabilities for interpreting equivocal and imprecise information in sophisticated subjective judgment scenarios Özlü and Karaaslan 2022;Yang and Pang 2022). To assist decision-makers or analysts in multiple criteria assessment and decision analysis in challenging T-SF scenarios, numerous studies have created efficient and appealing methodologies Alothaim et al. 2022;Hussain et al. 2022;Zedam et al. 2022). ...
... Chen and multiple criteria evaluations. Interval-valued complex T-SF relations were examined by Alothaim et al. (2022) who used them as a starting point to investigate the connections between various forms of network security and the origins of network attacks. To determine relative attractiveness and fittingness across T-SF aspects, Chen (2022a) created significant metrics of the superiority identifiers and the guide indices to set up the T-SF regime prioritization processes enabling order for decision assistance. ...
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 the fixed ideal/anti-ideal benchmarking mechanism, as its measurements and indices are easy to operate and suitably sensitive. Next, in practical implementations of the T-SF decision analytic procedure, it is advised to utilize the T-SF Manhattan distance index for calculating convenience. Finally, the T-SF decision analytic techniques offer fundamental ideas and measurements appropriate for manipulating T-SF information in complex decision situations, thereby increasing the application potential in the area of decision-making with information uncertainty.
... analysed and addressed threats on social media platforms by employing an uncertain set of the complex cubic T-SF model and put forward a risk-assessing method for cyber-security and social media. By way of the interval-valued complex T-SF relation, Alothaim et al. (2022) identified Hasse diagrams in conformity with T-spherical partial orders to assess cybersecurity. Alsalem et al. (2021) expanded an opinion score-based technique and a fuzzy zero-inconsistency approach to T-SF contexts for implementing distribution decisions of the COVID-19 vaccine. ...
T-spherical fuzzy (T-SF) sets furnish a constructive and flexible manner to manifest higher-order fuzzy information in realistic decision-making contexts. The objective of this research article is to deliver an original multiple-criteria choice method that utilizes a correlation-focused approach toward computational intelligence in uncertain decision-making activities with T-spherical fuzziness. This study introduces the notion of T-SF data-driven correlation measures that are predicated on two types of the square root function and the maximum function. The purpose of these measures is to exhibit the overall desirability of choice options across all performance criteria using T-SF comprehensive correlation indices within T-SF decision environments. This study executes an application for location selection and demonstrates the effectiveness and suitability of the developed techniques in T-SF uncertain conditions. The comparative analysis and outcomes substantiate the justifiability and the strengths of the propounded methodology in pragmatic situations under T-SF uncertainties.
The development of T-spherical fuzzy (T-SF) sets in qualitative multiple-criteria choice analysis has been well investigated, but little is explored about how the VIKOR (i.e., VIšekriterijumsko KOmpromisno Rangiranje in Serbian) mechanism is generalized into intricate T-SF environments. This paper has the objective of propounding a creative T-SF VIKOR methodology for compromise ranking modeling in multiple criteria analysis. The exploitation of the T-SF configuration brings about superior information space representation in response to intricate realistic environments. However, because of the increased complexity of decision situations involving T-spherical fuzziness, treatment with the T-SF information arises a pragmatic difficulty in developing methodological approaches to T-SF VIKOR. In light of this concern, this paper unfolds an analytical framework for the T-SF VIKOR method predicated on new notions of an evolved T-SF score function and the Minkowski-type T-SF distance measure along with its special cases of the Manhattan-, Euclidean-, and Chebyshev-type distances. The aspired and despised T-SF characteristics can be identified supported by the evolved T-SF score function of T-SF performance ratings. This paper gives a new delineation of the group utility, individual regret, and joint generalized measures with the aid of the Minkowski-type T-SF distance measure relative to the aspired/despised T-SF characteristics. A synthetic mechanism is built to validate the standards of acceptable advantage and stability and yield the ultimate compromise choices for multiple criteria decision aiding. The practicality of the T-SF VIKOR methodology in down-to-earth decision situations has been well demonstrated through the selection issues of warehouse locations and advertisement strategies. Moreover, the developed approach has shown better application outcomes than the past methods did. The comparative study with parametric analysis has revealed the steadiness and effectiveness of the compromise choice results in T-SF circumstances.
T-spherical fuzzy (T-SF) sets are generalized versions of renowned high-order fuzzy models that provide powerful tools for managing ambiguous and equivocal information in complex decision-making environments. This study concentrates on a novel point operator-driven approach to decision-analytic modeling for multiple criteria decision analyses (MCDAs) that pose substantial computational difficulty in T-SF uncertain information. This study explores two easily operated T-SF point operators to ascertain upper and lower estimations of T-SF uncertain information. Also, this study takes advantage of the notions of score functions and continuous ordered weighted average operators to launch an efficacious T-SF point operator-driven decision model for multiple criteria analysis and evaluation tasks. In particular, the mechanism of the assignation parameters and the basic unit-interval monotonic parameter can help decision-makers treat T-SF information with great proficiency and flexibility, which makes intricate MCDA processes more intelligent. In addition to five real-world applications, a comprehensive comparative analysis of the tests for effectiveness, robustness, and parameter settings are conducted to carefully validate the developed point operator-driven techniques, and the analytical results corroborate the effectuality and favorable features of the proposed methodology.
