東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Explainable fuzzy systems = paving t...

Alonso Moral, Jose Maria.

FindBook

Google Book

Amazon

博客來

Explainable fuzzy systems = paving the way from interpretable fuzzy systems to explainable AI systems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Explainable fuzzy systems/ by Jose Maria Alonso Moral ... [et al.].
其他題名:	paving the way from interpretable fuzzy systems to explainable AI systems /
其他作者:	Alonso Moral, Jose Maria.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xxxi, 232 p. :ill., digital ;24 cm.
內容註:	Toward Explainable Artiﬁcial Intelligence through Fuzzy Systems -- An Overview of Fuzzy Systems -- Interpretability Constraints and Criteria for Fuzzy Systems -- Revisiting Indexes for Assessing Interpretability of Fuzzy Systems -- Designing Interpretable Fuzzy Systems.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-71098-9
ISBN:	9783030710989

Explainable fuzzy systems = paving the way from interpretable fuzzy systems to explainable AI systems /
Explainable fuzzy systemspaving the way from interpretable fuzzy systems to explainable AI systems /[electronic resource] :by Jose Maria Alonso Moral ... [et al.]. - Cham :Springer International Publishing :2021. - xxxi, 232 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9701860-949X ;. - Studies in computational intelligence ;v.970..

Toward Explainable Artiﬁcial Intelligence through Fuzzy Systems -- An Overview of Fuzzy Systems -- Interpretability Constraints and Criteria for Fuzzy Systems -- Revisiting Indexes for Assessing Interpretability of Fuzzy Systems -- Designing Interpretable Fuzzy Systems.

The importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software. The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth of coverage will inspire novel applications and scientific advancements.

ISBN: 9783030710989

Standard No.: 10.1007/978-3-030-71098-9doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.33

Explainable fuzzy systems = paving the way from interpretable fuzzy systems to explainable AI systems /
LDR:02385nmm a2200337 a 4500 001 2239982
003 DE-He213
005 20210729132540.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030710989 $q (electronic bk.)
020 $a 9783030710972 $q (paper)
024 7 $a 10.1007/978-3-030-71098-9 $2 doi
035 $a 978-3-030-71098-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.33 $2 23
090 $a Q335 $b .E96 2021
245 0 0 $a Explainable fuzzy systems $h [electronic resource] : $b paving the way from interpretable fuzzy systems to explainable AI systems / $c by Jose Maria Alonso Moral ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xxxi, 232 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.970
505 0 $a Toward Explainable Artiﬁcial Intelligence through Fuzzy Systems -- An Overview of Fuzzy Systems -- Interpretability Constraints and Criteria for Fuzzy Systems -- Revisiting Indexes for Assessing Interpretability of Fuzzy Systems -- Designing Interpretable Fuzzy Systems.
520 $a The importance of Trustworthy and Explainable Artificial Intelligence (XAI) is recognized in academia, industry and society. This book introduces tools for dealing with imprecision and uncertainty in XAI applications where explanations are demanded, mainly in natural language. Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. The idea of interpretability in fuzzy systems, which is grounded on mathematical constraints and assessment functions, is firstly introduced. Then, design methodologies are described. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation. This approach is supported by open source software. The book is intended for researchers, students and practitioners who wish to explore EXFS from theoretical and practical viewpoints. The breadth of coverage will inspire novel applications and scientific advancements.
650 0 $a Artificial intelligence. $3 516317
650 0 $a Fuzzy systems. $3 535881
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Alonso Moral, Jose Maria. $3 3494526
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v.970. $3 3494527
856 4 0 $u https://doi.org/10.1007/978-3-030-71098-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)