Philosophical Foundations for Causal Networks | p. 3 |
Non-Standard Probabilistic and Non Probabilistic Representations of Uncertainty | p. 13 |
Argumentation Systems and Evidence Theory | p. 41 |
Algebraic Structures Related to Dempster-Shafer Theory | p. 51 |
Extension of Lower Probabilities and Coherence of Belief Measures | p. 62 |
A Note on Multi-Objective Information Measures | p. 70 |
Decision Making Using Belief Functions: Evaluation of Information | p. 77 |
Hybrid Propagation in Junction Trees | p. 87 |
Heuristic Algorithms for the Triangulation of Graphs | p. 98 |
Computing Marginals from the Marginal Representation in Markov Trees | p. 108 |
Representation of Bayesian Networks as Relational Databases | p. 117 |
Decision Influence Diagrams with Fuzzy Utilities | p. 131 |
Causal Networks and Their Toolkit in KSE | p. 139 |
Approximations of Causal Networks by Polytrees: an Empirical Study | p. 149 |
Evidence Propagation on Influence Diagrams and Value of Evidence | p. 159 |
Some Varieties of Qualitative Probability | p. 171 |
The Qualitative Verification of Quantitative Uncertainty | p. 180 |
Uncertainty Management Using Probability Intervals | p. 190 |
Probabilistic Consistency of Conditional Probability Bounds | p. 200 |
Testing the Convenience of a Variate for Stratification in Estimating the Gini-Simpson Diversity | p. 210 |
Fuzzy Probabilities and their Applications to Statistical Inference | p. 217 |
A Bayesian Functional Approach to Fuzzy System Representation | p. 223 |
Information Matrices Associated to [actual symbol not reproducible] Measures: Applications to Testing Hypotheses | p. 233 |
Informational Energy Test for Equality of Variances | p. 241 |
Compositive Information Measure of a Fuzzy Set | p. 248 |
Informational Time | p. 255 |
Updating, Transition Constraints and Possibilistic Markov Chains | p. 263 |
Possibilistic Logic as Interpretability Logic | p. 273 |
A Numerical Framework for Possibilistic Abduction | p. 281 |
Possibility Theory and Independence | p. 292 |
Handling Hard Rules and Default Rules in Possibilistic Logic | p. 302 |
A General Possibilistic Framework for Reliability Theory | p. 311 |
Possibilistic Semantic Nets | p. 318 |
An Essay on Name and Extension of Rule-Given Properties | p. 329 |
On Non-Alethic Logic | p. 339 |
Marginal Problem in Different Calculi of AI | p. 348 |
Implication Connectives for Logics with Right Weakening | p. 360 |
Stochastic Logic | p. 370 |
An Approach to Handle Partially Sound Rules of Inference | p. 380 |
Using Classical Theorem-Proving Techniques for Approximate Reasoning: Revised Report | p. 389 |
Translation-Based Deduction Methods for Modal Logics | p. 399 |
A System of Knowledge Representation Based in Formulae of Predicate Calculus whose Variables are Annotated by Expressions of A "Fuzzy" Terminological Logic | p. 409 |
Using Preference based Heuristics to Control Abductive Reasoning | p. 418 |
Efficient Interpretation of Propositional Multiple-valued Logic Programs | p. 428 |
Many-Valued Epistemic States: An Application to a Reflexive Architecture: Milord-II | p. 440 |
Acoustical Chaotic Fractal Images for Medical Imaging | p. 455 |
Chaos Causes Perspective Reversals for Ambiguious Patterns | p. 463 |
Implications of a Continuous Approach to Chaotic Modeling | p. 473 |
"Homeostasic" Control of Imbalanced Strange Attractors with or without Asking to a Change in Chaotic Dynamics | p. 483 |
A Feature-Based Reuse Library | p. 495 |
Managing Uncertainty in an Object Recovery Process | p. 501 |
Juggling in Free Fall: Uncertainty Management Aspects of Domain Analysis Methods | p. 512 |
Hybrid Fuzzy Metrics for Software Reusability | p. 522 |
A Program Transformation System for Software Reuse | p. 534 |
Abstract Visualization of Software. A Basis for a Complex Hash-Key? | p. 545 |
Retrieval of Images Using Pixel-based Objects Models | p. 557 |
Object Recognition Based on Pattern Features | p. 567 |
Key-Picture Selection for the Analysis of Visual Speech with Fuzzy Methods | p. 577 |
Effective Scheduling of Tasks under Weak Temporal Interval Constraints | p. 584 |
Introducing Contextual Information in Multisensor Tracking Algorithms | p. 595 |
FAM on Gain Scheduling Control of Highly Nonlinear and Disturbed Processes | p. 605 |
How to Choose According to Partial Evaluations? | p. 611 |
The Role of Measurement Uncertainty in Numeric Law Induction | p. 619 |
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