Complex spherical fuzzy TOPSIS based on entropy

Aydoğdu, Ebru; Güner, Elif; Aldemir, Başak; Aygün, Halis

doi:10.1016/j.eswa.2022.119331

Cited by 38 publications

(16 citation statements)

References 63 publications

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“…This study introduces a novel technique for creating an indicator system to measure HQD from the standpoint of key expansion paradigms. Drawing on data from the National Bureau of Statistics of the People's Republic of China, as cited in multiple studies [ [22] , [23] , [24] , [25] , [26] ], our empirical analysis employs a stochastic TOPSIS approach coupled with spatial autocorrelation analysis. We preprocess the data and integrate HQD dimensions into our indicator system, which comprises five key areas: innovation-driven growth, coordinated development, economic advancement, environmental sustainability, and social well-being.…”

Section: Methodsmentioning

confidence: 99%

Measurement and spatial correlation analysis of high-quality development Level: A case study of the Yangtze River Delta urban agglomeration in China

Guo,

Jiang,

Zhu

et al. 2024

Heliyon

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Section: Methodsmentioning

confidence: 99%

Measurement and spatial correlation analysis of high-quality development Level: A case study of the Yangtze River Delta urban agglomeration in China

Guo,

Jiang,

Zhu

et al. 2024

Heliyon

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“…It is possible to investigate the recent fuzzy approach through PyIFDM [99], Fuzzy TO-PSIS [100], F-SWARA'B, and F-CoCoSo'B, [101] Ct-SFS [102], and SFAHP [103] for similar applications. Other recent methods or frameworks such as SVN-COPRAS, SVN-TOPSIS [104], IVIF MULTIMOORACOPRAS [105], AHP-COPRAS [106], SAPEVO-H 2 [107], ECOPRAS [108], SPC [109], TOPANSIS [110], MPSI-MARA [111], MEREC-MARCOS [112], or PROMETHEE-SAPEVO-M1 [113] are examples of models that could be evaluated for adherence to this application, seeking comparative results and different analyses.…”

Section: Future Scopementioning

confidence: 99%

Evaluation of Smart Sensors for Subway Electric Motor Escalators through AHP-Gaussian Method

Pereira

Junior

Bandeira

et al. 2023

Sensors

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This paper proposes the use of the AHP-Gaussian method to support the selection of a smart sensor installation for an electric motor used in an escalator in a subway station. The AHP-Gaussian methodology utilizes the Analytic Hierarchy Process (AHP) framework and is highlighted for its ability to save the decision maker’s cognitive effort in assigning weights to criteria. Seven criteria were defined for the sensor selection: temperature range, vibration range, weight, communication distance, maximum electric power, data traffic speed, and acquisition cost. Four smart sensors were considered as alternatives. The results of the analysis showed that the most appropriate sensor was the ABB Ability smart sensor, which scored the highest in the AHP-Gaussian analysis. In addition, this sensor could detect any abnormalities in the equipment’s operation, enabling timely maintenance and preventing potential failures. The proposed AHP-Gaussian method proved to be an effective approach for selecting a smart sensor for an electric motor used in an escalator in a subway station. The selected sensor was reliable, accurate, and cost-effective, contributing to the safe and efficient operation of the equipment.

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“…The amalgamated Fermatean fuzzy set and entropy approach was developed by Chang et al ( 2023 ) to prioritize the risk of product failure items. By using a brand-new entropy measure function created specifically for this method, Aydogdu et al ( 2023 ) produced a revolutionary TOPSIS method in a complicated spherical fuzzy context by objectively determining the weights of the criterion and DMs. Zhang Y. et al ( 2023 ) established a stability evaluation framework for the region's rocky slopes using the entropy weighting-fuzzy theory.…”

Section: Introductionmentioning

confidence: 99%

A MAGDM approach for evaluating the impact of artificial intelligence on education using 2-tuple linguistic q-rung orthopair fuzzy sets and Schweizer-Sklar weighted power average operator

Mahboob,

Ullah,

Ovais

et al. 2024

Front. Artif. Intell.

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The impact of artificial intelligence (AI) in education can be viewed as a multi-attribute group decision-making (MAGDM) problem, in which several stakeholders evaluate the advantages and disadvantages of AI applications in educational settings according to distinct preferences and criteria. A MAGDM framework can assist in providing transparent and logical recommendations for implementing AI in education by methodically analyzing the trade-offs and conflicts among many components, including ethical, social, pedagogical, and technical concerns. A novel development in fuzzy set theory is the 2-tuple linguistic q-rung orthopair fuzzy set (2TLq-ROFS), which is not only a generalized form but also can integrate decision-makers quantitative evaluation ideas and qualitative evaluation information. The 2TLq-ROF Schweizer-Sklar weighted power average operator (2TLq-ROFSSWPA) and the 2TLq-ROF Schweizer-Sklar weighted power geometric (2TLq-ROFSSWPG) operator are two of the aggregation operators we create in this article. We also investigate some of the unique instances and features of the proposed operators. Next, a new Entropy model is built based on 2TLq-ROFS, which may exploit the preferences of the decision-makers to obtain the ideal objective weights for attributes. Next, we extend the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique to the 2TLq-ROF version, which provides decision-makers with a greater space to represent their decisions, while also accounting for the uncertainty inherent in human cognition. Finally, a case study of how artificial intelligence has impacted education is given to show the applicability and value of the established methodology. A comparative study is carried out to examine the benefits and improvements of the developed approach.

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Complex spherical fuzzy TOPSIS based on entropy

Cited by 38 publications

References 63 publications

Measurement and spatial correlation analysis of high-quality development Level: A case study of the Yangtze River Delta urban agglomeration in China

Measurement and spatial correlation analysis of high-quality development Level: A case study of the Yangtze River Delta urban agglomeration in China

Evaluation of Smart Sensors for Subway Electric Motor Escalators through AHP-Gaussian Method

A MAGDM approach for evaluating the impact of artificial intelligence on education using 2-tuple linguistic q-rung orthopair fuzzy sets and Schweizer-Sklar weighted power average operator

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