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Fuzzy Inference Systems
This chapter mainly describes the fundamental concepts of the fuzzy inference systems. It starts with fuzzy sets, fuzzifier, fuzzy inference engine...
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Towards an Efficient Approach for Mamdani Interval Type-3 Fuzzy Inference Systems
This paper is part of the increasing interest regarding the application of interval type-3 fuzzy logic in real-world problems, where a better...
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An effective approach for predicting daily stock trading decisions using fuzzy inference systems
To achieve success in stock trading, the ability to forecast future market behavior is crucial. Many professional traders favor traditional technical...
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Fuzzy Inference Systems
The general structure of fuzzy inference systems is introduced in this chapter. The Mamdani and Takagi-Sugeno-Kang systems are discussed.
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Scikit-ANFIS: A Scikit-Learn Compatible Python Implementation for Adaptive Neuro-Fuzzy Inference System
The Adaptative neuro-fuzzy inference system (ANFIS) has shown great potential in processing practical data from control, prediction, and inference...
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Adaptive Neuro-Fuzzy Inference System Application of Flashover Voltage of High-Voltage Polluted Insulator
The paper proposes an adaptive neuro-fuzzy inference system called ANFIS for predicting the flashover voltage of external insulators. High voltage...
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Interval Type-2 Mutual Subsethood Cauchy Fuzzy Neural Inference System (IT2MSCFuNIS)
An interval type-2 (IT2) mutual subsethood Cauchy fuzzy neural inference system has been proposed in this paper. The network architecture consists of...
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Fuzzy Inference Algorithm Using Databases
An algorithm for fuzzy logical inference is proposed for systems consisting of a large number of inference rules occupying a significant amount of...
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Driving Style Recognition Using Interval Type-2 Fuzzy Inference System and Multiple Experts Decision-Making
Driving styles summarize different driving behaviors that reflect in the movements of the vehicles. These behaviors may indicate a tendency to...
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Prioritizing God Class Code Smells in Object-Oriented Software Using Fuzzy Inference System
Code Smell is a term that indicates flaws in design and coding practice. God Class is a type of code smell that shows an irregular distribution of...
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Signal-based parameter and fault identification in roller bearings using adaptive neuro-fuzzy inference systems
The rolling element bearings are used in high load-bearing, high stiffness, and high-speed applications. They have wide applications in aero-engine...
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Sequential Adaptive Fuzzy Inference System
In this chapter, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis...
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Adaptation of Fuzzy Inference System Using Neural Learning
The integration of neural networks and fuzzy inference systems could be formulated into three main categories: cooperative, concurrent and integrated...
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A Novel Intuitionistic Fuzzy Inference System for Feature Subset Selection in Weather Prediction
This work presents a novel approach for optimal feature subset (OFS) selection in weather prediction (WP), addressing the challenge of handling a...
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Customizable Fuzzy-Neuro Inference System Attack Detection Based on Trust for Mobile Wireless Sensor Networks
Wireless Sensor Networks (WSN) when simulated for implementations use Mobile Sinks (MS) which are vulnerable to unauthorized attacks. Existing works...
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A Survey on Genetic Fuzzy Systems
Fuzzy Systems have shown their ability for solving a wide range of problems in different application domains. Genetic Algorithms are applied to...
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Fuzzy Inference with Sequential Fuzzy Indexed Search Trees
In this paper, a new method is presented for fuzzy inference-based classification. Its base idea lies in the dimensional decomposition of the problem...
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Prediction of Yield Sooting Index Utilizing Artificial Neural Networks and Adaptive-Network-Based Fuzzy Inference Systems
The emission of soot particles from fossil fuel combustion has a major negative effect on the environment, human health, and the global climate. The...
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A Four-Valued Ambiguous Logic: Application in Designing Ambiguous Inference System for Control Systems
Ambiguous set has recently been introduced as a new branch of mathematics and computer science dealing with the nature of ambiguity of uncertain...
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Monotonic Fuzzy Systems With Goniometric Membership Functions
Fuzzy logic-based systems are nowadays commonly used in nonlinear function approximation when incoming data are available. Their main advantage is...
