New methodologies in the design of a general purpose fuzzy expert system: Applications with AI based precipitation retrieval designed for satellite microwave measurements
In the design of expert systems, management of uncertainty is related to a computational analysis of uncertainty from the premises to the conclusion. In this work we propose a new reasoning method with the equivalence operator instead of the implication operator in modus ponens. It demonstrates a fu...
Other Authors: | Oh, Kyung Whan. |
---|---|
Format: | Others |
Language: | English |
Subjects: | |
Online Access: |
http://purl.flvc.org/fsu/lib/digcoll/etd/3161721 |
Similar Items
-
Iterative nonlinear statistical retrievals of precipitation from simulated spaceborne multispectral passive microwave observations
by: Skofronick, Gail Mari
Published: (2007) -
The Learning Machine and the Spaceship in the Garden. AI and the design of planetary 'nature'
by: Andrew Toland
Published: (2018-09-01) -
Big Data System to Support Natural Disaster Analysis
by: Zhu, Shuxiang
Published: (2020) -
MIIDAPS-AI: An Explainable Machine-Learning Algorithm for Infrared and Microwave Remote Sensing and Data Assimilation Preprocessing - Application to LEO and GEO Sensors
by: Eric S. Maddy, et al.
Published: (2021-01-01) -
Artificial intelligence for reliable object recognition from remotely sensed data: overall framework design, review and prospect
by: SHI Wenzhong, et al.
Published: (2021-08-01)