عنوان

Backward fuzzy rule interpolation /

شابک

9789811316531

شابک

9789811316548

شابک

9789811316555

شابک

9789811346613

شابک

9811316538

شابک

9811316546

شابک

9811316554

شابک

9811346615

شابک اشتباه

9789811316531

عنوان اصلي

Backward fuzzy rule interpolation /

نام عام مواد

[Book]

نام نخستين پديدآور

Shangzhu Jin, Qiang Shen, Jun Peng.

محل نشرو پخش و غیره

Singapore :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references.

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9789811316548

شماره استاندارد بين المللي کتاب و موسيقي

9789811316531

شماره استاندارد بين المللي کتاب و موسيقي

9789811316555

موضوع مستند نشده

Fuzzy mathematics.

موضوع مستند نشده

Fuzzy sets.

موضوع مستند نشده

Fuzzy mathematics.

موضوع مستند نشده

Fuzzy sets.

موضوع مستند نشده

MATHEMATICS-- General.

موضوع مستند نشده

MAT-- 000000

موضوع مستند نشده

UYQ

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Jin, Shangzhu

مستند نام اشخاص تاييد نشده

Peng, Jun

مستند نام اشخاص تاييد نشده

Shen, Qiang

تاريخ عمليات

20200823225115.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y