Propagation of interval and probabilistic uncertainty in cyberinfrastructure-related data processing and data fusion [electronic resource]
| 000 | 00000nam u2200205 a 4500 | |
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| 005 | 20200714155010 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 200702s2015 sz a ob 001 0 eng d | |
| 020 | ▼a 9783319126289 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 4 | ▼a Q342 |
| 082 | 0 4 | ▼a 003.54 ▼2 23 |
| 084 | ▼a 003.54 ▼2 DDCK | |
| 090 | ▼a 003.54 | |
| 100 | 1 | ▼a Servin, Christian. |
| 245 | 1 0 | ▼a Propagation of interval and probabilistic uncertainty in cyberinfrastructure-related data processing and data fusion ▼h [electronic resource] / ▼c Christian Servin, Vladik Kreinovich. |
| 260 | ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2015. | |
| 300 | ▼a 1 online resource (viii, 112 p.) : ▼b ill. | |
| 490 | 1 | ▼a Studies in systems, decision and control, ▼x 2198-4182 ; ▼v 15 |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 505 | 0 | ▼a Introduction -- Towards a More Adequate Description of Uncertainty -- Towards Justification of Heuristic Techniques for Processing Uncertainty -- Towards More Computationally Efficient Techniques for Processing Uncertainty -- Towards Better Ways of Extracting Information About Uncertainty from Data. |
| 520 | ▼a On various examples ranging from geosciences to environmental sciences, this book explains how to generate an adequate description of uncertainty, how to justify semiheuristic algorithms for processing uncertainty, and how to make these algorithms more computationally efficient. It explains in what sense the existing approach to uncertainty as a combination of random and systematic components is only an approximation, presents a more adequate three-component model with an additional periodic error component, and explains how uncertainty propagation techniques can be extended to this model. The book provides a justification for a practically efficient heuristic technique (based on fuzzy decision-making). It explains how the computational complexity of uncertainty processing can be reduced. The book also shows how to take into account that in real life, the information about uncertainty is often only partially known, and, on several practical examples, explains how to extract the missing information about uncertainty from the available data. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Cyberinfrastructure. |
| 650 | 0 | ▼a Uncertainty (Information theory). |
| 700 | 1 | ▼a Kreinovich, Vladik. |
| 830 | 0 | ▼a Studies in systems, decision and control; ▼v 15. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-12628-9 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 003.54 | 등록번호 E14026374 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |