Towards a Flexible Framework for Regionalization
Bibliographic Data
| ID | 4141473 |
|---|---|
| Authors | Yee Leung (0000-0002-4140-5448, Chinese University of Hong Kong, corresponding author) |
| Year | 1984 |
| Volume | 16 |
| Issue | 12 |
| Pages | 1613-1632 |
| Publication date | 1984-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a161613 |
| OpenAlex | W2018797665 |
| Language | EN |
| Citations received | 2 |
| References cited | 6 |
A theoretical framework is proposed to analyze regionalization problems consisting of quantitative and qualitative information with varying degrees of imprecision. Fuzzy set concepts of distance and similarity are formulated to construct regional grouping procedures. Depending on the data and the concepts employed, regions derived may be mutually exclusive or they may overlap to a certain degree. Hierarchical systems of regions are also analyzed on the basis of asymmetric spatial relations. Compared with conventional methods, this framework appears to be more natural and flexible in preserving information pertinent to regionalization
Data mining · Fuzzy logic · Fuzzy set · Geography · Machine learning · Qualitative comparative analysis · Computer Science · Constraint Satisfaction and Optimization · Mathematics · Multi-Criteria Decision Making · Rough Sets and Fuzzy Logic · Artificial Intelligence
| Citations per year | 0.05 |
|---|---|
| Citation span | 1985 - 1992 (8) |
| Highly cited | No |