Curvature-Based Sparse Rule Base Generation for Fuzzy Interpolation Using Menger Curvature

Zheming Zuo; Jie Li; Longzhi Yang

doi:10.1007/978-3-030-29933-0_5

ScienceGate Book Chapters

BOOK-CHAPTER

Curvature-Based Sparse Rule Base Generation for Fuzzy Interpolation Using Menger Curvature

Zheming Zuo Jie Li Longzhi Yang

Year: 2019 Advances in intelligent systems and computing Pages: 53-65 Publisher: Springer Nature

DOI: 10.1007/978-3-030-29933-0_5

Get Full-Text PDF Get Analytical Report

Keywords:

Curvature Interpolation (computer graphics) Fuzzy rule Fuzzy inference Base (topology) Curse of dimensionality Inference Fuzzy logic Mathematics Algorithm Computer science Mathematical optimization Artificial intelligence Fuzzy set Fuzzy control system Adaptive neuro fuzzy inference system Geometry Mathematical analysis Image (mathematics)

Metrics

Cited By

0.96

FWCI (Field Weighted Citation Impact)

Refs

0.75

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Curvature-Based Sparse Rule Base Generation for Fuzzy Interpolation Using Menger Curvature

Metrics

Citation History

Topics

Related Documents

Curvature-based sparse rule base generation for fuzzy rule interpolation

Towards sparse rule base generation for fuzzy rule interpolation

3. Menger curvature

Experience-based rule base generation and adaptation for fuzzy interpolation

Fuzzy Rule Interpolation Methods Based on Sparse Rule Bases