An R package for handling fuzzy spatial data
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Updated
Jan 10, 2024 - R
An R package for handling fuzzy spatial data
linguistic fuzzy logic algorithms: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE)
Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization (A Research Paper Implementation along with Self-organization feature map (SOFM) implementation)
R-codes for feature selection method that is based on fuzzy entropy and similarity
Fuzzy inference system optimized by a genetic algorithm (Case study: Fuzzified hedging rules for a reservoir operation)
The RMCDA package is a comprehensive toolkit for Multi-Criteria Decision Analysis (MCDA), designed to facilitate the evaluation and ranking of alternatives based on multiple criteria. The package provides methods for implementing various MCDA techniques, including pairwise comparisons, partial-order analysis, and dominance-based decision rules.
Data Fusion (open-access research monograph, 2015)
FuzzyLP CRAN R package providing Fuzzy Linear Programming methods
Web app using fuzzy logic to evaluate how much compatibility a person has with the computer science career.
Automated identification of potential avalanche release areas using R. This extended model incorporates snowpack stability, aspect, and altitude to enhance avalanche hazard assessment, building upon the original work by Veitinger et al. Useful for avalanche forecasters and researchers.
Enhancing Boolean networks with continuous logical operators and edge tuning: smoothing simulations
This project aimed to develop an expert system using a Fuzzy Neural Network (FNN) to accurately predict insect pest populations in a large avocado farm in Kenya, providing valuable insights for decision-making and timely interventions in integrated pest management (IPM) practices
Improving breast cancer prediction through fuzzy rule-based reasoning.
Otimizando semáforo com Lógica Fuzzy / Optimizing traffic lights with Fuzzy Logic
R codes for K-Means Clustering and Fuzzy K-Means Clustering, along with improved versions
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