عنوان

Backward fuzzy rule interpolation /

(Number (ISBN

9789811316531

(Number (ISBN

9789811316548

(Number (ISBN

9789811316555

(Number (ISBN

9789811346613

(Number (ISBN

9811316538

(Number (ISBN

9811316546

(Number (ISBN

9811316554

(Number (ISBN

9811346615

Erroneous ISBN

9789811316531

Title Proper

Backward fuzzy rule interpolation /

General Material Designation

[Book]

First Statement of Responsibility

Shangzhu Jin, Qiang Shen, Jun Peng.

Place of Publication, Distribution, etc.

Singapore :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource

Text of Note

Includes bibliographical references.

Text of Note

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.

0

Text of Note

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 #x1B;(Sa#x1B;(B-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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9789811316548

International Standard Book Number

9789811316531

International Standard Book Number

9789811316555

Fuzzy mathematics.

Fuzzy sets.

Fuzzy mathematics.

Fuzzy sets.

MATHEMATICS-- General.

MAT-- 000000

UYQ

UYQ

Number

Edition

Class number

Jin, Shangzhu

Peng, Jun

Shen, Qiang

Date of Transaction

20200823225115.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y