Modelling with words : learning, fusion, and reasoning within a formal linguistic representation framework
Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analy...
Gorde:
| Egile nagusia: | |
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| Beste egile batzuk: | , |
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Saila: | Lecture notes in computer science. Lecture notes in artificial intelligence
2873 |
| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modelling with words, learning, fusion, and reasoning within a formal linguistic representation framework, Jonathan Lawry, Jimi Shanahan, Anca Ralescu (eds.), Berlin, Springer, 2003, 1 vol. (XI-228 p.), Lecture notes in computer science, 3-540-20487-3 • Modelling with Words, Texte imprimé, 9783662197721 |
Aurkibidea:
- Random Set-Based Approaches for Modelling Fuzzy Operators
- A General Framework for Induction of Decision Trees under Uncertainty
- Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models
- Semantics-Preserving Dimensionality Reduction in Intelligent Modelling
- Conceptual Graphs for Modelling and Computing with Generally Quantified Statements
- Improvement of the Interpretability of Fuzzy Rule Based Systems: Quantifiers, Similarities and Aggregators
- Humanist Computing: Modelling with Words, Concepts, and Behaviours
- A Hybrid Framework Using SOM and Fuzzy Theory for Textual Classification in Data Mining
- Combining Collaborative and Content-Based Filtering Using Conceptual Graphs
- Random Sets and Appropriateness Degrees for Modelling with Labels
- Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling.