A rough Dombi Bonferroni based approach for public charging station type selection

Deveci, Muhammet; Erdoğan, Nuh; Pamučar, Dragan; Kucuksari, Sadik; Cali, Ümit

doi:10.1016/j.apenergy.2023.121258

Cited by 10 publications

(2 citation statements)

References 42 publications

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“…In a similar vein, Bonferroni mean operators have played a pivotal role in addressing this challenge within the realm of research. Numerous scholars have explored and employed these operators within their research contexts [41][42][43][44]. One of the most influential and current aggregation operators are Aczel-Alsina operators [45].…”

Section: Fuzzy Sets and Aggregation Operatorsmentioning

confidence: 99%

A Novel Generalization of Q-Rung Orthopair Fuzzy Aczel Alsina Aggregation Operators and Their Application in Wireless Sensor Networks

Ali,

Shaheen,

Haq

et al. 2023

Sensors

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Q-rung orthopair fuzzy sets have been proven to be highly effective at handling uncertain data and have gained importance in decision-making processes. Torra’s hesitant fuzzy model, on the other hand, offers a more generalized approach to fuzzy sets. Both of these frameworks have demonstrated their efficiency in decision algorithms, with numerous scholars contributing established theories to this research domain. In this paper, recognizing the significance of these frameworks, we amalgamated their principles to create a novel model known as Q-rung orthopair hesitant fuzzy sets. Additionally, we undertook an exploration of Aczel–Alsina aggregation operators within this innovative context. This exploration resulted in the development of a series of aggregation operators, including Q-rung orthopair hesitant fuzzy Aczel–Alsina weighted average, Q-rung orthopair hesitant fuzzy Aczel–Alsina ordered weighted average, and Q-rung orthopair hesitant fuzzy Aczel–Alsina hybrid weighted average operators. Our research also involved a detailed analysis of the effects of two crucial parameters: λ, associated with Aczel–Alsina aggregation operators, and N, related to Q-rung orthopair hesitant fuzzy sets. These parameter variations were shown to have a profound impact on the ranking of alternatives, as visually depicted in the paper. Furthermore, we delved into the realm of Wireless Sensor Networks (WSN), a prominent and emerging network technology. Our paper comprehensively explored how our proposed model could be applied in the context of WSNs, particularly in the context of selecting the optimal gateway node, which holds significant importance for companies operating in this domain. In conclusion, we wrapped up the paper with the authors’ suggestions and a comprehensive summary of our findings.

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Section: Fuzzy Sets and Aggregation Operatorsmentioning

confidence: 99%

A Novel Generalization of Q-Rung Orthopair Fuzzy Aczel Alsina Aggregation Operators and Their Application in Wireless Sensor Networks

Ali,

Shaheen,

Haq

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…However, due to the wide variety of available options, lack of user experience and knowledge, and constant development of information technology, the process of selecting the most suitable OSS-LMS has become increasingly complex (Jadav and Sonar, 2011;Zaidan et al, 2015). Since multi-criteria decision-making (MCDM) methods have wide range of applications (Ulutas et al, 2021;Semenas et al, 2021;Filip, 2021;Krishankumar et al, 2021;Ivanović et al, 2022;Deveci et al, 2022;Hezam et al, 2023a;Deveci et al, 2023;Gökmener et al, 2023;Gokasar et al, 2023aGokasar et al, , 2023bPetrovas et al, 2023), MCDM methods can be used to assess and select the best OSS-LMS package by taking into account multiple conflicting criteria. MCDM methods consider multiple criteria and weigh their relative importance to arrive at a decision that best aligns with the organization's goals and objectives.…”

Section: Introductionmentioning

confidence: 99%

An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems

Deb,

Bhattacharya,

Chatterjee

et al. 2023

Informatica

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Ineffective evaluation of open-source software learning management system (OSS-LMS) packages can negatively impact organizational effectiveness. Clients may struggle to select the best OSS-LMS package from a wide range of options, leading to a complex multi-criteria group decision-making (MCGDM) problem. This evaluates OSS-LMS packages based on several criteria like usability, functionality, e-learning standards, reliability, activity tracking, course development, assessment, backup and recovery, error reporting, efficiency, operating system compatibility, computer-managed instruction, authentication, authorization, troubleshooting, maintenance, upgrading, and scalability. Handling uncertain data is a vital aspect of OSS-LMS package evaluation. To tackle MCGDM issues, this study presents a consensus weighted sum product (c-WASPAS) method which is applied to an educational OSS-LMS package selection problem to evaluate four OSS-LMS packages, namely ATutor, eFront, Moodle, and Sakai. The findings indicate that the priority order of alternatives is Moodle > Sakai > eFront > ATutor and, therefore, MOODLE is the best OSS-LMS package for the case study. A sensitivity analysis of criteria weights is also conducted, as well as a comparative study, to demonstrate the effectiveness of the proposed method. It is essential to note that proper OSS-LMS package evaluation is crucial to avoid negative impacts on organizational performance. By addressing MCGDM issues and dealing with uncertain information, the c-WASPAS method presented in this study can assist clients in selecting the most appropriate OSS-LMS package from multiple alternatives. The findings of this study can benefit educational institutions and other organizations that rely on OSS-LMS packages to run their operations.

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The URGET VADEMECUM 2030–2050 Project: Applying Threshold Theory to Sustainable Urban Mobility

Acampa,

Pino,

Alberti

et al. 2024

Lecture Notes in Networks and Systems

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A rough Dombi Bonferroni based approach for public charging station type selection

Cited by 10 publications

References 42 publications

A Novel Generalization of Q-Rung Orthopair Fuzzy Aczel Alsina Aggregation Operators and Their Application in Wireless Sensor Networks

A Novel Generalization of Q-Rung Orthopair Fuzzy Aczel Alsina Aggregation Operators and Their Application in Wireless Sensor Networks

An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems

The URGET VADEMECUM 2030–2050 Project: Applying Threshold Theory to Sustainable Urban Mobility

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