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Fuzzy Rule-Based Inference Advances and Applications in Reasoning with Approximate Knowledge Interpolation
This book covers a comprehensive approach to the development and application of a suite of novel algorithms for practical approximate knowledge-based...
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A genetic algorithm for rule extraction in fuzzy adaptive learning control networks
This paper presents a novel approach, dubbed Falcon-GA, for rule extraction in a Fuzzy Adaptive Learning Control Network (FALCON) using a Genetic...
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Attribute-Weighted Fuzzy Rule-Based Inference
Many computational techniques have been established to perform approximate reasoning, including the popular compositional rule of inference (CRI)...
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Fuzzy Association Rule Mining Techniques and Applications
Fuzzy Association Rule Mining (FARM) is considered as a significant part of data mining approach that uses fuzzy logic to extract meaningful patterns...
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Attribute Weighting and Weighted Fuzzy Rule Bases
In conventional fuzzy inference systems, the if-then rules available are typically represented in a flat form without differing the importance levels...
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A rule-based fuzzy ant colony improvement (ACI) approach for automated disease diagnoses
India has approximately seven qualified doctors for every 10,000 people, highlighting the several issues confronting the medical industry, including...
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Multi-objective optimisation based fuzzy association rule mining method
Fuzzy association rule mining (FARM) is a mainstream method to discover hidden patterns and association rules in quantitative data. It is essential...
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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction
Harmony search (HS) is a form of stochastic meta-heuristic inspired by the improvisation process of musicians. In this study, a modified HS with a...
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View materialization using fuzzy MAX–MIN composition with association rule mining (VMFCA)
Materialized view creation is an intrinsic requirement for the relational model to speed up the query processing majorly for large data centric...
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A novel method to rank fuzzy numbers using the developed golden rule representative value
Ranking fuzzy numbers is an important subject of fuzzy set theory, which has been widely studied and applied to many practical problems. However, the...
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FRHO: Fuzzy rule-based hybrid optimization for optimal cluster head selection and enhancing quality of service in wireless sensor network
The applications based on Wireless Sensor Network-enabled Internet of Things (IoT) are gaining more interest in civic and research communities. In...
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Fuzzy rule-based neural network for high-speed train manufacturing system scheduling problem
Our country has a vast territory, and rail transit is very important to the development of our country's national economy. In this paper, key...
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Fuzzy rule-based models via space partition and information granulation
Fuzzy rule-based model (FRBM) has attracted significant attention in various fields due to its accuracy and high level of interpretability. In this...
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Incremental fuzzy temporal association rule mining using fuzzy grid table
Traditional temporal association rules mining algorithms cannot dynamically update the temporal association rules within the valid time interval with...
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Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process
Advanced Machine Learning and Artificial Intelligence techniques are very powerful in predictive tasks and they are getting more popular as decision...
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Residual deep fuzzy system with randomized fuzzy modules for accurate time series forecasting
The data-driven modular deep fuzzy model has demonstrated excellent forecasting performance due to its clear architecture and powerful fuzzy...
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Fuzzy rule-based hyperspectral band selection algorithm with ant colony optimization
The issue of band selection is extremely important in dealing with the plague of dimensionality in hyperspectral images. This study offers a hybrid...
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Knowledge Base Generation Based on Fuzzy Clustering
AbstractAn approach for generating an optimal rule base of a fuzzy system is proposed, that relies on ellipsoidal clustering of observable data....
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Approximate reasoning with fuzzy rule interpolation: background and recent advances
Approximate reasoning systems facilitate fuzzy inference through activating fuzzy if–then rules in which attribute values are imprecisely described....
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Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules
In this current work, Weighted Bayesian Association rules using the Fuzzy set theory are proposed with the new concept of Fuzzy Weighted Bayesian...
