Corpus ID: 16301358

A fuzzy case-based system for weather prediction

@article{Riordan2002AFC,
  title={A fuzzy case-based system for weather prediction},
  author={D. Riordan and Bjarne K. Hansen},
  journal={International journal of engineering intelligent systems for electrical engineering and communications},
  year={2002},
  volume={10},
  pages={139-146}
}
  • D. Riordan, Bjarne K. Hansen
  • Published 2002
  • Computer Science
  • International journal of engineering intelligent systems for electrical engineering and communications
Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. We describe an investigation into the application of case-based reasoning in airport weather forecasting. Knowledge about temporal features that human forecasters use to construct analogous climatological scenarios is encoded in a fuzzy similarity measure. The fuzzy similarity measure is used to locate the k-nearest neighbours from the historical database. These nearest neighbours are in… Expand
Developing a Neuro-Fuzzy Model for Weather Prediction
TLDR
A comparison applied among different cases obtained from Neuro-fuzzy model and observed meteorological data for year 2017 shows that the performance of the NeurofuzzY model at TCWB is better than TLWB and the model at GCWB and GCWN are better than GCCB and GCCN. Expand
Predicting weather events using fuzzy rule based system
TLDR
This paper attempts to solve weather event prediction for Lahore by implementing a fuzzy rule based system that is sensitive to bootstrapping sampling technique that has been used for generating training and test samples for developing the fuzzy, DT and PLSR models. Expand
Weather Prediction by Integrating Recurrent Neural Network Dynamics into Case Based Reasoning
Most of the weather forecasting approaches attempt to forecast only single weather attribute at a time (e.g., temperature, rainfall etc.). If weather attribute(s) is forecasted by Case BasedExpand
A Fuzzy Logic-Based Analog Forecasting System for Ceiling and Visibility
TLDR
WIND-3 is an application for aviation weather forecasting that uses the analog method to produce deterministic predictions of cloud ceiling height and horizontal visibility at airports and uses the retrieved analog ensemble, the set of most similar analogs, to make predictions of ceiling and visibility. Expand
An efficient approach for Weather forecasting using Support Vector Machines
Weather forecasting vital role in the area of investigating the weather parameters like time series data of daily maxima and minima temperatures, relative humidity, highest rain fall, sudden weatherExpand
WEATHER PREDICTION EXPERT SYSTEM APPROACHES (Ceng-568 Literature Survey)
Weather prediction approaches are challenged by complex weather phenomena with limited observations and past data. Weather phenomena have many parameters that are impossible to enumerate and measure.Expand
FORECASTING MAXIMUM TEMPERATURES VIA FUZZY NEAREST NEIGHBOUR MODEL OVER DELHI
This paper introduces nearest neighbour based fuzzy model (NNFM) based on membership values for forecasting the daily maximum temperature at Delhi . Fuzzy membership values has been used to makeExpand
Weather prediction by recurrent neural network dynamics
TLDR
A multiple weather attributes forecasting method for one-day-ahead prediction using NARX NN in local scale using collected historical records of weather station from 1980 to 2009 is presented. Expand
Fuzzy logic-based analogue forecasting and hybrid modelling of horizontal visibility
Forecasting visibility is one of the greatest challenges in aviation meteorology. At the same time, high accuracy visibility forecasts can significantly reduce or make avoidable weather-related riskExpand
Intelligent Assistance, Retrieval, Reminder and Advice for Fuzzy Multicriteria Decision-Making
TLDR
A model for intelligent decision support model that draws upon the integration of case-based reasoning and fuzzy multicriteria decision-making to provide intelligent assistance, retrieval, reminder, and advice to a decision-maker is proposed. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 31 REFERENCES
Weather Prediction Using Case-Based Reasoning and Fuzzy Set Theory
A fuzzy logic based methodology for knowledge acquisition is developed and used for retrieval of temporal cases in a case-based reasoning (CBR) system. The methodology is used to acquire knowledgeExpand
A Classical-REEP Short-Range Forecast Procedure
Abstract A statistical technique has been designed to assist in the forecasting of weather elements in the 0–12-h time period. The method uses only the last two surface hourly observations for aExpand
Similarity Measures for Retrieval in Case-Based Reasoning Systems
TLDR
This article focuses on the similarity measuring methods for CBR and reviews the existing methods for measuring similarity in the literature based on more than 100 CBR project studies and some general similarity measures seen in other applications. Expand
Case-Based Reasoning: A Fuzzy Approach
TLDR
This paper is an attempt at providing a fuzzy set-based formalization of case-based reasoning by assuming a principle stating that “the more similar are the problem description attributes, the moreSimilar are the outcome attributes”. Expand
Precipitation Forecasting Using a Neural Network
A neural network, using input from the Eta Model and upper air soundings, has been developed for the probability of precipitation (PoP) and quantitative precipitation forecast (QPF) for theExpand
Integration Rules and Cases for the Classification Task
TLDR
A very rudimentary kind of integration for the classification task, based on simple heuristics, is sketched: “To solve a problem, first try to use the conventional rule-based approach, if it does not work, try to remember a similar problem you have solved in the past and adapt the old solution to the new situation”. Expand
An Automated, Observations-Based System for Short-Term Prediction of Ceiling and Visibility
Abstract Several methods of generating very short term (0–6 h) probabilistic forecasts of ceiling and visibility are investigated: 1) an observations-based (OBS-based) system in which potentialExpand
A Bayesian Neural Network for Severe-Hail Size Prediction
TLDR
The National Severe Storms Laboratory has developed algorithms that compute a number of Doppler radar and environmental attributes known to be relevant for the detection/prediction of severe hail that are shown to outperforms the existing method for predicting severe-hail size. Expand
A Neural Network for Tornado Prediction Based on Doppler Radar-Derived Attributes
TLDR
A neural network has been designed to diagnose which circulations detected by the NSSL MDA yield tornados, and it is shown that the network outperforms the rule-based algorithm existing in the MDA, as well as statistical techniques such as discriminant analysis and logistic regression. Expand
Case-Based Reasoning Technology: From Foundations to Applications
TLDR
Extending some Concepts of CBR - Foundations of Case Retrieval Nets and Methodology for Building CBR Applications are extended. Expand
...
1
2
3
4
...