Tourism Potential Zone Mapping Using MCDM and Machine Learning Models in The State of Madhya Pradesh India
The rich and diverse tourism attractions of Madhya Pradesh have long been recognized, but the Tourism Potential Zones (TPZs) have yet to be clearly identified. This research aimed to uncover these hidden potentials using a combination of Multi-Criteria Decision Making (MCDM) and machine learning tec...
Saved in:
| Main Authors: | Shrinwantu Raha, Sayan Deb |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Diponegoro University
2025-05-01
|
| Series: | Geoplanning: Journal of Geomatics and Planning |
| Subjects: | |
| Online Access: | https://ejournal.undip.ac.id/index.php/geoplanning/article/view/62567 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A new locally adaptive K-nearest centroid neighbor classification based on the average distance
by: Benqiang Wang, et al.
Published: (2022-12-01) -
A novel region based neighbors searching classification algorithm for big data
by: Rajib Kumar Halder, et al.
Published: (2025-12-01) -
ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR
by: Putri Sri Astuti, et al.
Published: (2021-12-01) -
Improving classifier decision boundaries and interpretability using nearest neighbors
by: Johannes Schneider, et al.
Published: (2025-07-01) -
Evaluation of Multi-Class Classification Performance Lung Cancer Through K-NN and SVM Approach
by: Muh. Indra Endriartono Saputra Troy, et al.
Published: (2025-04-01)