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Record Nr. |
UNINA9910148704103321 |
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Titolo |
DDT : properties, uses and toxicity / / editor, Kathleen Sanders |
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Pubbl/distr/stampa |
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New York : , : Novinka, , 2016 |
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©2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (127 pages) |
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Collana |
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Environmental Remediation Technologies, Regulations and Safety |
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Disciplina |
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Soggetti |
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DDT (Insecticide) - Toxicology |
DDT (Insecticide) - Physiological effect |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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2. |
Record Nr. |
UNINA9910299852403321 |
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Autore |
Servin Christian |
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Titolo |
Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion / / by Christian Servin, Vladik Kreinovich |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (117 p.) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 15 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Data mining |
Statistics |
Computational Intelligence |
Data Mining and Knowledge Discovery |
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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