Ebook: Information, Uncertainty and Fusion

As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. In order to increase the value of this vast supply of information we must develop means for effectively processing it. Newly emerging disciplines such as Information Engineering and Soft Computing are being developed in order to provide the tools required. Conferences such as the International Conference on Information Processing and ManagementofUncertainty in Knowledge-based Systems (IPMU) are being held to provide forums in which researchers can discuss the latest developments. The recent IPMU conference held at La Sorbonne in Paris brought together some of the world's leading experts in uncertainty and information fusion. In this volume we have included a selection ofpapers from this conference. What should be clear from looking at this volume is the number of different ways that are available for representing uncertain information. This variety in representational frameworks is a manifestation of the different types of uncertainty that appear in the information available to the users. Perhaps, the representation with the longest history is probability theory. This representation is best at addressing the uncertainty associated with the occurrence of different values for similar variables. This uncertainty is often described as randomness. Rough sets can be seen as a type of uncertainty that can deal effectively with lack of specificity, it is a powerful tool for manipulating granular information.

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The recent IPMU Conference held in La Sorbonne in Paris brought together some of the world's leading experts in uncertainty and information fusion. In this volume, the editors have included a selection of papers from this conference.
Underlying much of the processing of information is the need to fusion information; this is especially so in attempts to implement `intelligent' operations. The development of efficient tools for retrieval of documents, a concern whose importance has increased in proportion to the rapid development of the internet, requires the use of fusion techniques. Attempts to construct intelligent agents require the use of sophisticated operations, many of which are of a fusion type, to help model the complex ways human beings interact with information and each other.
In this volume, the editors have attempted to bring the reader some of the most recent advances in information, uncertainty and fusion.

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The recent IPMU Conference held in La Sorbonne in Paris brought together some of the world's leading experts in uncertainty and information fusion. In this volume, the editors have included a selection of papers from this conference.
Underlying much of the processing of information is the need to fusion information; this is especially so in attempts to implement `intelligent' operations. The development of efficient tools for retrieval of documents, a concern whose importance has increased in proportion to the rapid development of the internet, requires the use of fusion techniques. Attempts to construct intelligent agents require the use of sophisticated operations, many of which are of a fusion type, to help model the complex ways human beings interact with information and each other.
In this volume, the editors have attempted to bring the reader some of the most recent advances in information, uncertainty and fusion.
Content:
Front Matter....Pages i-x
Front Matter....Pages 1-1
Revision by Translation....Pages 3-31
Ambiguous Implications in Knowledge-Based Systems Described by Entity-Characteristic Tables....Pages 33-44
Functional Dependencies and the Design of Relational Databases Involving Imprecise Data....Pages 45-56
A Query Construct for Paraconsistent Databases....Pages 57-67
Fuzzy classificatory object recognition for crisis detection....Pages 69-80
An approach to using degrees of belief in BDI agents....Pages 81-92
Representation of Comonotonically Additive Functional by Choquet Integral....Pages 93-104
On Lower and Upper Approximation of Fuzzy Measures by k-Order Additive Measures....Pages 105-118
Generated Fuzzy Quantities and Their Orderings....Pages 119-129
On neurofuzzy and fuzzy decision tree approaches....Pages 131-145
A Fuzzy Extension to a Temporal Parsimonious Covering Theory....Pages 147-158
Front Matter....Pages 159-159
Probabilities of Future Decisions....Pages 161-171
Representational Issues for Risk Scenarios....Pages 173-184
Zero probabilities in stochastic independence....Pages 185-196
Computing the Probability of Formulas Representing Events in Product Spaces....Pages 197-208
Uncertainty Handling for Distributed Database Integration and Knowledge Discovery....Pages 209-220
A Rule-based Language for Probabilistic Reasoning....Pages 221-232
Deriving Possibility Distributions from Data Sets using Confidence Intervals of Probabilities....Pages 233-244
Fuzzy random variables-based modeling with GA-P algorithms....Pages 245-256
A Seasonal Streamflow Forecasting Model Using Neurofuzzy Network....Pages 257-267
Front Matter....Pages 159-159
Allowing Imprecision in Belief Representation using Fuzzy-Valued Belief Structures....Pages 269-281
A Transformational Approach to Fuzzy Propositions....Pages 283-292
Four-Valued Logics for Reasoning with Uncertainty in Prioritized Data....Pages 293-304
Front Matter....Pages 305-305
A mathematical model for fuzzy connectives and its application to operators behavioural study....Pages 307-318
Invariance Properties of OWA Operators....Pages 319-330
Aggregation operators as similarity relations....Pages 331-341
Semantic Meaning of Fuzzy Control Models and Heterogeneous Aggregation Operators....Pages 343-353
Maxitive Fuzzy Preference Structures....Pages 355-363
Directed possibilistic graphs and possibilistic logic....Pages 365-379
A logic of supporters....Pages 381-392
Building Argumentation Systems on Set Constraint Logic....Pages 393-406
Genetic Fuzzy C-Means Algorithm for Automatic Generation of Fuzzy Partitions....Pages 407-418
Fast Dempster-Shafer Clustering Using a Neural Network Structure....Pages 419-430
Distribution of Contradictive Belief Masses in Combination of Belief Functions....Pages 431-446
Relationships Among Ordinal Relations on a Finite Set of Events....Pages 447-458
Back Matter....Pages 459-460

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The recent IPMU Conference held in La Sorbonne in Paris brought together some of the world's leading experts in uncertainty and information fusion. In this volume, the editors have included a selection of papers from this conference.
Underlying much of the processing of information is the need to fusion information; this is especially so in attempts to implement `intelligent' operations. The development of efficient tools for retrieval of documents, a concern whose importance has increased in proportion to the rapid development of the internet, requires the use of fusion techniques. Attempts to construct intelligent agents require the use of sophisticated operations, many of which are of a fusion type, to help model the complex ways human beings interact with information and each other.
In this volume, the editors have attempted to bring the reader some of the most recent advances in information, uncertainty and fusion.
Content:
Front Matter....Pages i-x
Front Matter....Pages 1-1
Revision by Translation....Pages 3-31
Ambiguous Implications in Knowledge-Based Systems Described by Entity-Characteristic Tables....Pages 33-44
Functional Dependencies and the Design of Relational Databases Involving Imprecise Data....Pages 45-56
A Query Construct for Paraconsistent Databases....Pages 57-67
Fuzzy classificatory object recognition for crisis detection....Pages 69-80
An approach to using degrees of belief in BDI agents....Pages 81-92
Representation of Comonotonically Additive Functional by Choquet Integral....Pages 93-104
On Lower and Upper Approximation of Fuzzy Measures by k-Order Additive Measures....Pages 105-118
Generated Fuzzy Quantities and Their Orderings....Pages 119-129
On neurofuzzy and fuzzy decision tree approaches....Pages 131-145
A Fuzzy Extension to a Temporal Parsimonious Covering Theory....Pages 147-158
Front Matter....Pages 159-159
Probabilities of Future Decisions....Pages 161-171
Representational Issues for Risk Scenarios....Pages 173-184
Zero probabilities in stochastic independence....Pages 185-196
Computing the Probability of Formulas Representing Events in Product Spaces....Pages 197-208
Uncertainty Handling for Distributed Database Integration and Knowledge Discovery....Pages 209-220
A Rule-based Language for Probabilistic Reasoning....Pages 221-232
Deriving Possibility Distributions from Data Sets using Confidence Intervals of Probabilities....Pages 233-244
Fuzzy random variables-based modeling with GA-P algorithms....Pages 245-256
A Seasonal Streamflow Forecasting Model Using Neurofuzzy Network....Pages 257-267
Front Matter....Pages 159-159
Allowing Imprecision in Belief Representation using Fuzzy-Valued Belief Structures....Pages 269-281
A Transformational Approach to Fuzzy Propositions....Pages 283-292
Four-Valued Logics for Reasoning with Uncertainty in Prioritized Data....Pages 293-304
Front Matter....Pages 305-305
A mathematical model for fuzzy connectives and its application to operators behavioural study....Pages 307-318
Invariance Properties of OWA Operators....Pages 319-330
Aggregation operators as similarity relations....Pages 331-341
Semantic Meaning of Fuzzy Control Models and Heterogeneous Aggregation Operators....Pages 343-353
Maxitive Fuzzy Preference Structures....Pages 355-363
Directed possibilistic graphs and possibilistic logic....Pages 365-379
A logic of supporters....Pages 381-392
Building Argumentation Systems on Set Constraint Logic....Pages 393-406
Genetic Fuzzy C-Means Algorithm for Automatic Generation of Fuzzy Partitions....Pages 407-418
Fast Dempster-Shafer Clustering Using a Neural Network Structure....Pages 419-430
Distribution of Contradictive Belief Masses in Combination of Belief Functions....Pages 431-446
Relationships Among Ordinal Relations on a Finite Set of Events....Pages 447-458
Back Matter....Pages 459-460
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