Uncertainty Management in Information Systems: From Needs to Solutions

Front Cover
Amihai Motro, Philippe Smets
Springer Science & Business Media, 1997 - Business & Economics - 464 pages
As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. As the subtitle, "From Needs to Solutions," indicates, this book presents view points of information systems experts on the needs that challenge the uncer tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.
 

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Contents

PREFACE
1
SOURCES OF UNCERTAINTY
9
Solutions
16
Imperfect Manipulation and Processing
23
IMPERFECT INFORMATION
35
Existential Values
49
Inexistent Values
56
Combination of Null Values
63
Imperfect Data in a Database
306
Integrity Constraints and Fuzzy Functional Dependencies
312
Concluding Remarks
314
LOGICAL HANDLING OF INCONSISTENT AND DEFAULT INFORMATION Philippe Besnard Luis Farinas del Cerro Dov Gabbag and Anthony ...
325
Handling Inconsistent Information
326
Handling Default Information
328
Labeled Deductive Systems for Practical Reasoning
332
Conclusions
339

Universal Relation Databases and Null Values
64
Null Values in Nested Relational Databases
67
Maybe Tuples
70
Disjunctive Databases
71
Probabilistic Databases
76
UNCERTAINTY IN INTELLIGENT DATABASES Robert Demolombe
89
Incompleteness
92
Validity
107
Conclusion
123
UNCERTAIN INCOMPLETE AND INCONSISTENT DATA IN SCIENTIFIC AND STATISTICAL DATABASES Stephen Kwan Frank Olken and D...
127
Sources of Uncertainty
128
Example Databases
136
Database Error Controls
144
Data Accuracy and Database Performance
145
Missing Categorical Data
146
Conclusions
147
KNOWLEDGE DISCOVERY AND ACQUISITION FROM IMPERFECT INFORMATION Gregory PiatetskyShapiro
155
Uncertainty Management
159
Knowledge Discovery in Databases
160
Knowledge Acquisition
167
Sources of Imperfection in Discovered Patterns
170
Summary
182
UNCERTAINTY IN INFORMATION
189
PROBABILISTIC AND BAYESIAN
255
AN INTRODUCTION TO THE FUZZY SET AND POSSIBILITY THEORYBASED TREATMENT OF FLEXIBLE QUERIES AND UNCERTAIN O...
285
Vocabulary
287
Fuzzy Databases
290
Flexible Queries
294
THE TRANSFERABLE BELIEF MODEL FOR BELIEF REPRESENTATION Philippe Smets and Rudolf Kruse
343
The Transferable Belief Model
345
The Mathematics of the TBM
347
Applications to Databases
358
Application with Sources Reliability
359
Application for Diagnosis
361
Conclusions
363
HANDLING UNCERTAINTY AND IMPRECISION IN INFORMATION SYSTEMS Piero P Bonissone
369
Probabilistic Approaches
375
Fuzzy Logic Based Approaches
380
Conclusions
383
ON THE CLASSIFICATION OF UNCERTAINTY TECHNIQUES IN RELATION TO THE APPLICATION NEEDS E H Mamdani
397
On the Classification of Uncertainty Techniques
398
On Sources of Uncertainty
403
Building Applications with Uncertainty Management
406
Conclusions
408
A BIBLIOGRAPHY ON UNCERTAINTY MANAGEMENT IN INFORMATION SYSTEMS Curtis E Dyreson
413
Surveys
415
Null Values
416
Logic
426
Fuzzy Set and Possibility Theory
430
Probability Theory
440
Querylevel Uncertainty
442
Schemalevel Uncertainty
445
Complexity Analyses
446
Miscellaneous
447
INDEX
459
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