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Logical Handling Of Inconsistent And Default Information
, 11
"... INTRODUCTION The subjects of this chapter are two important and related kinds of uncertainty in information systems: inconsistent information and default (defeasible) information. In many information system applications, there is a need to represent and reason with inconsistent data. For example, i ..."
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Cited by 1 (0 self)
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INTRODUCTION The subjects of this chapter are two important and related kinds of uncertainty in information systems: inconsistent information and default (defeasible) information. In many information system applications, there is a need to represent and reason with inconsistent data. For example
Acceptability of Arguments as "logical Uncertainty"
- 2nd European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
, 1993
"... This paper clarifies our understanding of the construction and use of arguments as a paradigm for practical reasoning. We understand practical reasoning as being contrasted to formal (mathematical) reasoning. The latter involves reasoning within a well defined and consistent theory using a specific, ..."
Abstract
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Cited by 38 (0 self)
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, well-understood consequence relation. The former involves, as we see it, reasoning from databases, that are collections of facts. These facts need not necessarily comprise a coherent and consistent `picture' and they do not necessarily stand in relationship to any specific model or theory. As a
A Query Construct for Paraconsistent Databases
- In Proceedings of the 7th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
, 1998
"... A data model has recently been developed for representing and manipulating two kinds of uncertain information in databases: incomplete and inconsistent. The model is based on 4-valued relations, called paraconsistent relations, and has already been employed for developing elegant methods for model c ..."
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Cited by 6 (0 self)
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A data model has recently been developed for representing and manipulating two kinds of uncertain information in databases: incomplete and inconsistent. The model is based on 4-valued relations, called paraconsistent relations, and has already been employed for developing elegant methods for model
Abstract Querying Uncertain Data in Heterogeneous Databases
"... In heterogeneous databases, the user may issue a query to join two relations in di erent databases on the keys. However, the keys may be incompatible. In this paper, we extend our results on probabilistic query processing to consider joining two relations on incompatible keys. A new approach toident ..."
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In heterogeneous databases, the user may issue a query to join two relations in di erent databases on the keys. However, the keys may be incompatible. In this paper, we extend our results on probabilistic query processing to consider joining two relations on incompatible keys. A new approach
Quantifying global uncertainties in a simple microwave rainfall algorithm
- J. Atmos. Oceanic Technol
, 2006
"... While a large number of methods exist in the literature for retrieving rainfall from passive microwave brightness temperatures, little has been written about the quantitative assessment of the expected uncer-tainties in these rainfall products at various time and space scales. The latter is the resu ..."
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Cited by 4 (0 self)
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) rain by a factor of 4 relative to an algorithm that is tuned to the PR rainfall. Database completeness does not introduce any additional uncertainty at the global scale, while climatologically distinct space/time domains add approximately 25 % uncertainty that cannot be detected by a radiometer alone
The problem of missing data in geoscience databases
"... SQL is the (more or less) standardised language that is used by the majority of commercial database management systems. However, it is seriously flawed, as has been documented in detail by Date, Darwen, Pascal, and others. One of the most serious problems with SQL is the way it handles missing data. ..."
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. The resulting incomplete three-valued logic leads to inconsistencies in data handling within relational database management systems. Relational database theorists advocate that a strict two-valued logic (true/false) be used instead, with prohibition of the use of NULL, and justify this stance by assertion
Fuzzy Integrity Constraints for Native XML Database
"... XML is gradually accepted as a standard for representing, accessing, and exchanging data in internet applications. It poses many new challenges to XML storages or XML repositories. The data centric approach of XML has necessitated the definition of integrity constraints for XML. Integrity constraint ..."
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. Our approach is able to handle uncertainty in schema matching and data inconsistency in Native XML Database systems by exploiting fuzzy constraints. Our approach will restrict invalid XML data into XML Database by using fuzzy domain integrity constraints.
Amalgamating Knowledge Bases, II: Distributed Mediators
- Journal of Intelligent and Cooperative Information Systems
, 1994
"... Integrating knowledge from multiple sources is an important aspect of automated reasoning systems. In [23], we presented a uniform declarative and operational framework, based on annotated logics, for amalgamating multiple knowledge bases and data structures (e.g. relational, object-oriented, spatia ..."
Abstract
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Cited by 6 (2 self)
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-oriented, spatial, and temporal structures) when these knowledge bases (possibly) contain inconsistencies, uncertainties, and non-monotonic modes of negation. We showed that annotated logics may be used, with some modifications, to mediate between different knowledge bases. The multiple knowledge bases
Evaluation of two different models of semiautomatic knowledge acquisition for the medical consultant system CADIAG-II/RHEUMA
- Artificial Intelligence in Medicine 25(3):215–225
, 2002
"... Abstract As part of a plan to promote semi-automatic knowledge acquisition for the medical consultant system CADIAG-II/RHEUMA, this study sought to explore and cope with the variability of results that may be anticipated when performing knowledge acquisition with patient data from different patient ..."
Abstract
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Cited by 4 (0 self)
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and uncertainties about the contribution and relative importance of the factors were formalized using fuzzy intervals. #
Recommended Citation
, 2007
"... Operational risk assessment of chemical industries by exploiting accident databases ..."
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Operational risk assessment of chemical industries by exploiting accident databases
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