Abstract
Purpose - Fuzzy theory provides a rigorous, flexible approach to the problem of defining and computing. Therefore, to facilitate decision making in a geographic information system (GIS), the graph layer indicator and the Takagi-Sugeno (T-S) fuzzy model must be integrated. This study aims to explain several versions of the T-S fuzzy model based on fuzzy theory and fuzzy operation. Design/methodology/approach - An inference model is constructed for GIS using the T-S fuzzy model to formulate an integrated T-S decision-making (TSDMK) system. Findings - The TSDMK system accommodates inexact, linguistic, vague and uncertain GIS data. The operator assigns most graph layer indicators by intuition. Practical implications - Simulation results for the Hualien main station show that the proposed TSDMK system is an effective approach for GIS decision making. Originality/value - This investigation assesses applications of fuzzy logic for decision making in a GIS based on TSDMK graphs focusing on model-based systems.
| Original language | English |
|---|---|
| Pages (from-to) | 86-100 |
| Number of pages | 15 |
| Journal | Engineering Computations (Swansea, Wales) |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2008 |
Keywords
- Decision making
- Fuzzy control
- Geographic information systems