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Can Flexible Machine Learning Examine the Housing Features in Urban Housing Market Systems? A Study from the Indian Consumer Perspective in a Multi-city Context

Rohan Mukherjee et al.

Global Journal of Flexible Systems Management2026https://doi.org/10.1007/s40171-025-00475-7article
AJG 2ABDC A
Weight
0.50

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https://doi.org/https://doi.org/10.1007/s40171-025-00475-7

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@article{rohan2026,
  title        = {{Can Flexible Machine Learning Examine the Housing Features in Urban Housing Market Systems? A Study from the Indian Consumer Perspective in a Multi-city Context}},
  author       = {Rohan Mukherjee et al.},
  journal      = {Global Journal of Flexible Systems Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s40171-025-00475-7},
}

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Can Flexible Machine Learning Examine the Housing Features in Urban Housing Market Systems? A Study from the Indian Consumer Perspective in a Multi-city Context

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.