Granular Computing in Decision Approximation
This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. Relations in this case are implicative decision rules and the paradigm in which they are induced is that of computing with granules defined by rough inclusion...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57850 |
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oai:scholar.dlu.edu.vn:DLU123456789-578502023-11-11T05:55:01Z Granular Computing in Decision Approximation Polkowski, Lech Artiemjew, Piotr Rough sets Whole and parts Approximation theory This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. Relations in this case are implicative decision rules and the paradigm in which they are induced is that of computing with granules defined by rough inclusions, the latter introduced and studied within rough mereology, the fuzzified version of mereology. In this book basic classes of rough inclusions are defined and based on them methods for inducing granular structures from data are highlighted. The resulting granular structures are subjected to classifying algorithms, notably k—nearest neighbors and bayesian classifiers. 2015-08-31T03:57:23Z 2015-08-31T03:57:23Z 2015 Book 978-3-319-12880-1 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57850 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Rough sets Whole and parts Approximation theory |
| spellingShingle |
Rough sets Whole and parts Approximation theory Polkowski, Lech Artiemjew, Piotr Granular Computing in Decision Approximation |
| description |
This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. Relations in this case are implicative decision rules and the paradigm in which they are induced is that of computing with granules defined by rough inclusions, the latter introduced and studied within rough mereology, the fuzzified version of mereology. In this book basic classes of rough inclusions are defined and based on them methods for inducing granular structures from data are highlighted. The resulting granular structures are subjected to classifying algorithms, notably k—nearest neighbors and bayesian classifiers. |
| format |
Book |
| author |
Polkowski, Lech Artiemjew, Piotr |
| author_facet |
Polkowski, Lech Artiemjew, Piotr |
| author_sort |
Polkowski, Lech |
| title |
Granular Computing in Decision Approximation |
| title_short |
Granular Computing in Decision Approximation |
| title_full |
Granular Computing in Decision Approximation |
| title_fullStr |
Granular Computing in Decision Approximation |
| title_full_unstemmed |
Granular Computing in Decision Approximation |
| title_sort |
granular computing in decision approximation |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57850 |
| _version_ |
1819780715288461312 |