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Book Categories |
| Series Foreword | ||
| Contributing Authors | ||
| Introduction | 1 | |
| Pt. I | Reasoning | |
| 1 | Fuzzy Sets and Possibility Theory in Approximate and Plausible Reasoning | 15 |
| 2 | Weighted Inference Systems | 191 |
| 3 | Closure Operators in Fuzzy set Theory | 243 |
| Pt. II | Learning and Fusion | |
| 4 | Learning Fuzzy Decision Rules | 279 |
| 5 | Neuro-Fuzzy Methods in Fuzzy Rule Generation | 305 |
| 6 | Merging Fuzzy Information | 335 |
| Pt. III | Fuzzy Information Systems | |
| 7 | Fuzzy Databases | 403 |
| 8 | Fuzzy Set Techniques in Information Retrieval | 469 |
| Summary | 501 | |
| References | 502 |
| Price | Condition | Delivery | Seller | Action |
| $340.80 | Digital |
| WonderClub |
Christina Mcdermott
reviewed Fuzzy Sets In Approximate Reasoning And Information Systems on February 16, 2015
Fuzzy Sets In Approximate Reasoning And Information Systems
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Add Fuzzy Sets In Approximate Reasoning And Information Systems, Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are, Fuzzy Sets In Approximate Reasoning And Information Systems to the inventory that you are selling on WonderClubX
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Add Fuzzy Sets In Approximate Reasoning And Information Systems, Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are, Fuzzy Sets In Approximate Reasoning And Information Systems to your collection on WonderClub |