Search Results - subject:"Fuzzy C–means"

Evolving demographics: a dynamic clustering approach to analyze residential segregation in Berlin

Masías H., Víctor H.; Stier, Julia; Navarro R., Pilar; … - In: EPJ Data Science 13 (2024) 1, pp. 1-41

This paper examines the phenomenon of residential segregation in Berlin over time using a dynamic clustering analysis approach. Previous research has examined the phenomenon of residential segregation in Berlin at a high spatial and temporal aggregation and statically, i.e. not over time. We...

Persistent link: https://www.econbiz.de/10015326038

A novel technique for dental radiographic image segmentation based on neutrosophic logic

Datta, Soma; Chaki, Nabendu; Modak, Biswajit - In: Decision analytics journal 7 (2023), pp. 1-13

neutrosophic logic helps to localize the initial region of interest. Subsequently, a fuzzy c-means algorithm is applied to segment …

Persistent link: https://www.econbiz.de/10014436463

A three-stage fuzzy neutrosophic decision support system for human resources decisions in organizations

Yiğit, Fatih - In: Decision analytics journal 7 (2023), pp. 1-11

Analytic Hierarchy Process (IVN-AHP), and Fuzzy C-Means (FCM). The model's input is expert opinions on various criteria, the …

Persistent link: https://www.econbiz.de/10014505298

Estimating territory risk relativity using generalized linear mixed models and fuzzy C-Means clustering

Xie, Shengkun; Gan, Chong - In: Risks : open access journal 11 (2023) 6, pp. 1-20

, fuzzy C-Means clustering is proposed to derive the risk relativity of FSA, and the obtained results are compared to the ones …

Persistent link: https://www.econbiz.de/10014334432

Macroeconomic shocks, market uncertainty and speculative bubbles : a decomposition-based predictive model of Indian stock markets

Ghosh, Indranil; Chaudhuri, Tama Datta; Sakar, Sunita; … - In: China finance review international 15 (2025) 1, pp. 166-201

Persistent link: https://www.econbiz.de/10015323973

Dynamic fuzzy clustering algorithm using cumulative cost curve with application to dynamic customer segmentation

Sivaguru, M.; Punniyamoorthy, M. - In: International journal of business information systems : … 46 (2024) 1, pp. 73-106

Persistent link: https://www.econbiz.de/10015061825

Ranking the benefits of drone-based last-mile delivery due to adoption of its enablers

Kumbhani, Chandresh; Kant, Ravi - In: Journal of Advances in Management Research 21 (2024) 5, pp. 805-836

, unsupervised fuzzy C-means clustering (FCM) for clustering benefits and a spherical combined compromised solution (SF-CoCoSo) for …

Persistent link: https://www.econbiz.de/10015348853

Improved fuzzy C means with deep learning-based MANET routing model for multimedia communication

Biradar, Manjula A.; Mallapur, Sujata - In: International journal of networking and virtual … 31 (2024) 4, pp. 306-338

Persistent link: https://www.econbiz.de/10015333943

Intelligent e-vendor relationship management for enhancing global B2C e-commerce ecosystems

Lam, H. Y.; Tsang, Y. P.; Wu, C. H.; Chan, Ching Yuen - In: Journal of global information management 29 (2021) 3, pp. 1-25

Persistent link: https://www.econbiz.de/10012508163

Improving the classification accuracy using hybrid techniques

Mowafy, Mamdouh Abdel Alim Saad; Shallan, Walaa Mohamed … - In: Review of economics and political science : REPS 6 (2021) 3, pp. 223-234

correspondence analysis (MCA) and principal component analysis (PCA) with fuzzy c means (FCM) then with both of multilayer perceptron …

Persistent link: https://www.econbiz.de/10012615352

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