Backward Fuzzy Rule Interpolation

• Main Authors: Jin, Shangzhu (Author, http://id.loc.gov/vocabulary/relators/aut), Shen, Qiang (http://id.loc.gov/vocabulary/relators/aut), Peng, Jun (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Computational intelligence.; Artificial intelligence.; Computer simulation.; Computer-aided engineering.; Computational Intelligence.; Artificial Intelligence.; Simulation and Modeling.; Computer-Aided Engineering (CAD, CAE) and Design.

This book chiefly presents a novel approach referred to as backward fuzzy rule interpolation and extrapolation (BFRI). BFRI allows observations that directly relate to the conclusion to be inferred or interpolated from other antecedents and conclusions. Based on the scale and move transformation int...

Table of Contents:

• Introduction
• Background: Fuzzy Rule Interpolation (FRI)
• BFRI with a Single Missing Antecedent Value (S-BFRI)
• BFRI with Multiple Missing Antecedent Values (M-BFRI)
• An Alternative BFRI Method
• Backward rough-fuzzy rule interpolation
• Application: Terrorism Risk Assessment using BFRI
• Conclusion
• Appendix A Publications Arising from the Thesis
• Appendix B List of Acronyms
• Appendix C Glossary of terms
• Bibliography.