Books
Explainable uncertain rule-based fuzzy systems
Author:Jerry M. Mendel (Author)
Summary:The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems.
Print Book, English, 2023
Edition:Third edition View all formats and editions
Publisher: Springer, Cham, 2023
Physical Description:582 pages : illustrations (black and white, and colour) ; 28 cm
ISBN:
9783031353772, 3031353773
OCLC Number / Unique Identifier:1400098739
Subjects:
Contents:
1. Introduction 2. Type-2 Fuzzy Sets and Fuzzy Logic 3. Type-1 Fuzzy Systems 4. Type-1 Fuzzy Systems: Design Methods and Case Studies 5. Sources of Uncertainty and Membership Functions
6. Type-2 Fuzzy Sets Including Word Models 7. Working With Type-2 Fuzzy Sets 8. Type-Reduction: Uncertainty Measures 9. Interval Type-2 Fuzzy Systems 10. Interval Type-2 Fuzzy Systems: Design Methods and Case Studies 11. General Type-2 Fuzzy Systems
Source: Worldcat
Explainable fuzzy systems : paving the way from interpretable fuzzy systems to explainable AI systems
Authors:Jose Maria Alonso Moral (Author), Ciro Castiello (Author), Luis Magdalena (Author), Corrado Mencar (Author)
Summary:Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation.
Print Book, English, 2022
Edition:View all formats and editions
Publisher: Springer, Cham, 2022
Series:
Studies in computational intelligence, 970
Physical Description:1 volume : illustrations (black and white, and colour) ; 24 cm.
ISBN:
9783030711009, 3030711005
OCLC Number / Unique Identifier:1308477791
Subjects:
Contents:
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.
Source: Worldcat
Interpretability issues in fuzzy modeling
Author:Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena
Summary:Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy.
Print Book, English, 2003
Edition:View all formats and editions
Publisher: Springer, Berlin, 2003
Series:
Studies in fuzziness and soft computing, 128
Physical Description:1 volume ; 24 cm.
ISBN:
9783642057021, 3642057020
OCLC Number / Unique Identifier:751524171
Subjects:
Contents:
Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview.- Regaining comprehensibility of approximative fuzzy models via the use of linguistic hedges.- Identifying flexible structured premises for mining concise fuzzy knowledge.
Source: Worldcat