Name: Backward Fuzzy Rule Interpolation (en Inglés)
Price: 107470.00 CLP
Availability: InStock
Author: Shangzhu Jin; Qiang Shen; Jun Peng
ISBN: 9789811346613

portada Backward Fuzzy Rule Interpolation (en Inglés)

Backward Fuzzy Rule Interpolation (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Shangzhu Jin; Qiang Shen; Jun Peng

Año

2019

Idioma

Inglés

N° páginas

180

Encuadernación

Tapa Blanda

ISBN13

9789811346613

Categorías

Inteligencia artificial

Backward Fuzzy Rule Interpolation (en Inglés)

Shangzhu Jin; Qiang Shen; Jun Peng (Autor) · Springer · Tapa Blanda

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Reseña del libro "Backward Fuzzy Rule Interpolation (en Inglés)"

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 interpolation, this approach supports both interpolation and extrapolation, which involve multiple hierarchical intertwined fuzzy rules, each with multiple antecedents. As such, it offers a means of broadening the applications of fuzzy rule interpolation and fuzzy inference. The book deals with the general situation, in which there may be more than one antecedent value missing for a given problem. Two techniques, termed the parametric approach and feedback approach, are proposed in an attempt to perform backward interpolation with multiple missing antecedent values. In addition, to further enhance the versatility and potential of BFRI, the backward fuzzy interpolation method is extended to support α-cut based interpolation by employing a fuzzy interpolation mechanism for multi-dimensional input spaces (IMUL). Finally, from an integrated application analysis perspective, experimental studies based upon a real-world scenario of terrorism risk assessment are provided in order to demonstrate the potential and efficacy of the hierarchical fuzzy rule interpolation methodology.