Fuzzy Rule-Based Inference
Advances and Applications in Reasoning with Approximate Knowledge Interpolation
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23 Result(s)
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Chapter and Conference Paper
Exploring the Linguistic Model to Operate on Architectural Façade Illumination Design
Designers utilize the compositions to express their feelings and thoughts. However, it is difficult to have corresponding command of design theory for people in different fields. For architects, it is not comm...
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Chapter
Practical Integrated Weighted Approximate Reasoning
Pattern-matching-based approximate reasoning methods (e.g. CRI) can be effective and efficient when applicable, while FRI methods work well when facing incomplete knowledge bases. To maximise the benefits of b...
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Chapter
Prospectives of Further Developments and Applications of Approximate Knowledge Interpolation
This final chapter concludes the book. Firstly, it provides a summary of the topics presented in the preceding chapters, including an emphasis on the recent advances in approximate knowledge interpolative reas...
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Chapter
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 amongst the antecedent attributes, and therefore, all attribut...
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Chapter
Attribute-Weighted Fuzzy Interpolative Reasoning
As exhibited previously, the weights of individual rule antecedent attributes can be computed through a reverse engineering procedure applied to the given fuzzy rule base. As such, the unrealistic assumption t...
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Chapter
Practical Application to Interpretable Medical Risk Analysis
Attributes of weighted fuzzy rule interpolation (FRI) techniques have seen successful applications over a wide range of applications, as demonstrated in the preceding chapters, covering tasks such as pattern r...
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Chapter
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Inference Systems
Fuzzy set theory (Zadeh (Inf Control 8(3):338–353, 1965)) and fuzzy logic have gained rapid developments in a variety of scientific disciplines, including mathematics, engineering, and computer science. They a...
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Chapter
Weighted Fuzzy Interpolative Reasoning
Unlike classical rule-based inference that performs direct pattern matching between observations and the given rules, fuzzy rule interpolation (FRI) supports approximate reasoning with sparse rule bases where ...
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Book
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Chapter
Attribute-Weighted Fuzzy Rule-Based Inference
Many computational techniques have been established to perform approximate reasoning, including the popular compositional rule of inference (CRI) [15], approximate analogical reasoning schema (AARS) [11, 12], and...
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Chapter
Framework of Approximate Knowledge Interpolation
Fuzzy interpolative reasoning plays an important role in fuzzy rule-based inference systems, facilitating the extension of the capability of approximate reasoning when dealing with incomplete knowledge. This i...
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Article
Open AccessApproximate 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. Fuzzy rule interpolation (FRI) supports such reasoning with ...
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Chapter and Conference Paper
Nodes Deployment Optimization Algorithm Based on Fuzzy Data Fusion Model in Wireless Sensor Networks
As an integrated network, wireless sensor networks can connect the logic information world with the real physical world by performing information sensing, gathering, processing and delivering. There are divers...
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Chapter and Conference Paper
Generating ANFISs Through Rule Interpolation: An Initial Investigation
The success of ANFIS (Adaptive-Network-based Fuzzy Inference System) mainly owes to the ability of producing nonlinear approximation via extracting effective fuzzy rules from massive training data. In certain ...
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Chapter and Conference Paper
A Sustainable Model of Flow Shop Scheduling for High-Efficiency, Energy-Saving and Low-Cost
With the aggravation of economic and environmental pressure, the shop scheduling method cannot deal with the problem that high-efficiency, energy-saving and low-cost demands of current manufacturing industry....
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Chapter and Conference Paper
Fault Diagnosis of Planetary Gearboxes Based on Improved EEMD and Frequency Demodulation Analysis
Ensemble empirical mode decomposition (EEMD) has been widely used in fault diagnosis of planetary gearboxes. However, artificially selecting the amplitude of white Gaussian noise (WGN) which is the crucial pa...
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Article
Open AccessImproving fuzzy rule interpolation performance with information gain-guided antecedent weighting
Fuzzy rule interpolation (FRI) makes inference possible when dealing with a sparse and imprecise rule base. However, the rule antecedents are commonly assumed to be of equal significance in most FRI approaches...
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Chapter and Conference Paper
Nodes Deployment Optimization Algorithm Based on Energy Consumption of Underwater Wireless Sensor Networks
Underwater wireless sensor networks nodes deployment optimization problem is studied and underwater wireless sensor nodes deployment determines its capability and lifetime. If no underwater wireless sensor nod...
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Chapter and Conference Paper
Nodes Deployment Optimization Algorithm of Underwater Wireless Sensor Networks
Underwater wireless sensor networks nodes deployment optimization problem is studied and underwater wireless sensor nodes deployment determines its capability and lifetime. If no underwater wireless sensor nod...
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Chapter and Conference Paper
Nodes Deployment Optimization Algorithm Based on Improved Evidence Theory
Underwater wireless sensor networks (UWSNs) applications for ocean monitoring, deep sea surveillance, and locating natural resources are gaining popularity. To monitor the underwater environment or any object ...
