國立虎尾科技大學 |

Uncertain rule-based fuzzy systems = introduction and new birections /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Uncertain rule-based fuzzy systems/ by Jerry M. Mendel.
其他題名:	introduction and new birections /
作者:	Mendel, Jerry M.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xxii, 684 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Fuzzy systems. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-51370-6
ISBN:	9783319513706

Uncertain rule-based fuzzy systems = introduction and new birections /
Mendel, Jerry M.

Uncertain rule-based fuzzy systemsintroduction and new birections /[electronic resource] :by Jerry M. Mendel. - 2nd ed. - Cham :Springer International Publishing :2017. - xxii, 684 p. :ill. (some col.), digital ;24 cm.

Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty -- i.e., "type-2" fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems - from type-1 to interval type-2 to general type-2 - in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material. Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties; Allows those already familiar with type-1 fuzzy sets and systems to rapidly come up to speed to type-2 fuzzy sets and systems; Features complete classroom material including end-of-chapter exercises, a solutions manual, and three case studies -- forecasting of time series to knowledge mining from surveys and PID control.

ISBN: 9783319513706

Standard No.: 10.1007/978-3-319-51370-6doiSubjects--Topical Terms:

528426
Fuzzy systems.

LC Class. No.: QA402

Dewey Class. No.: 511.313

Uncertain rule-based fuzzy systems = introduction and new birections /
LDR:02813nam a2200325 a 4500 001 885392
003 DE-He213
005 20171225150308.0
006 m d
007 cr nn 008maaau
008 180530s2017 gw s 0 eng d
020 $a 9783319513706 $q (electronic bk.)
020 $a 9783319513690 $q (paper)
024 7 $a 10.1007/978-3-319-51370-6 $2 doi
035 $a 978-3-319-51370-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
082 0 4 $a 511.313 $2 23
090 $a QA402 $b .M537 2017
100 1 $a Mendel, Jerry M. $3 1054133
245 1 0 $a Uncertain rule-based fuzzy systems $h [electronic resource] : $b introduction and new birections / $c by Jerry M. Mendel.
250 $a 2nd ed.
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a xxii, 684 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- Part 1: Type-1 Fuzzy Sets and Systems -- Short Primers on Type-1 Fuzzy Sets and Fuzzy Logic -- Type-1 Fuzzy Logic Systems -- Part 2: Type-2 Fuzzy Sets -- Sources of Uncertainty -- Type-2 Fuzzy Sets -- Operations on and Properties OF Type-2 Fuzzy Sets -- Type-2 Relations and Compositions -- Centroid of a Type-2 Fuzzy Set: Type-Reduction -- Part 3: Type-2 Fuzzy Logic Systems -- Mamdani Interval Type-2 Fuzzy Logic Systems (IT2 FLSS) -- TSK Interval Type-2 Fuzzy Logic Systems -- General Type-2 Fuzzy Logic Systems (GT2 FLSS) -- Conclusion.
520 $a The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty -- i.e., "type-2" fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems - from type-1 to interval type-2 to general type-2 - in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material. Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties; Allows those already familiar with type-1 fuzzy sets and systems to rapidly come up to speed to type-2 fuzzy sets and systems; Features complete classroom material including end-of-chapter exercises, a solutions manual, and three case studies -- forecasting of time series to knowledge mining from surveys and PID control.
650 0 $a Fuzzy systems. $3 528426
650 0 $a Uncertainty (Information theory) $3 644010
650 1 4 $a Engineering. $3 561152
650 2 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 884110
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-51370-6
950 $a Engineering (Springer-11647)