Ebook: Technologies for Constructing Intelligent Systems 2: Tools

Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.

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Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.

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Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.
Content:
Front Matter....Pages I-IX
Front Matter....Pages 1-1
Epistemology Probabilized....Pages 3-16
Stochastic Independence for Upper and Lower Probabilities in a Coherent Setting....Pages 17-30
Qualitative Possibilistic Independence Based on Plausibility Relations....Pages 31-44
Independence Concepts for Belief Functions....Pages 45-58
Conditional Possibility and Necessity....Pages 59-71
The Membership Problem for Probabilistic and Data Dependencies....Pages 73-84
Belief Functions Induced by Randomized Communication Channels....Pages 85-98
Quantifying the Correlation between Two Internal-Valued Random Sets....Pages 99-108
How Information Measure Changes Due to Unreliability....Pages 109-121
Front Matter....Pages 123-123
On the Aggregation of Some Classes of Fuzzy Relations....Pages 125-136
Ordinal Sums of Aggregation Operators....Pages 137-147
Aggregation Principle in the Theory of Nonlinear PDE....Pages 149-158
Approximation of Membership Functions and Aggregation Operators Using Splines....Pages 159-172
The Ordered Weighted Geometric Operator: Properties and Application in MCDM Problems....Pages 173-183
On Dominance and Dispersion of a Class of Weighting Lists....Pages 185-195
Front Matter....Pages 197-197
On the Definition of Coherence Measure for Fuzzy Sets....Pages 199-208
Caracterizing k-Additive Fuzzy Measures....Pages 209-222
Design of Takagi-Sugeno Controllers Using Piecewise Constant Functions and a Normalized Fuzzification Transform....Pages 223-235
Fuzzy Temporal Rules: A Rule-based Approach for Fuzzy Temporal Knowledge Representation and Reasoning....Pages 237-250
On a New Method to T-transitive Fuzzy Relations....Pages 251-260
Front Matter....Pages 197-197
Intuitionistic Fuzzy Relations and Measures of Consensus....Pages 261-274
A Soft Design of Acceptance Sampling Plans by Variables....Pages 275-286
Front Matter....Pages 287-287
On the Problem of Performing Exact Partial Abductive Inference in Bayesian Belief Networks using Junction Trees....Pages 289-302
Computing Probabilities of Events in Bayesian Networks....Pages 303-312
Approximate Bayesian Networks....Pages 313-325
Stochastic Algorithms for Searching Causal Orderings in Bayesian Networks....Pages 327-340
SYMBIONT: A Cooperative Evolutionary Model for Evolving Artificial Neural Networks for Classification....Pages 341-354
Functional Equivalence between S-neural Networks and Fuzzy Models....Pages 355-363
Front Matter....Pages 365-365
Towards Mathematical Morpho-Logics....Pages 367-380
Fuzzy Sets from a Mathematical-Na?ve Point of View....Pages 381-391
On the Implementation of Fril++ for Object-Oriented Logic Programming with Uncertainty and Fuzziness....Pages 393-406
On some Simplifications of the Axiomatization of Monoidal Logic....Pages 407-415
Logical Measure — Structure of Logical Formula....Pages 417-429

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Intelligent systems enhance the capacities made available by the internet and other computer-based technologies. This book is devoted to various aspects of the management of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of linguistic nature. Various methods developed to manage such information are discussed in the context of several domains of application. Topics included in the book include preference modelling and decision making, learning, clustering and data mining, information retrieval. The paradigm of computing with words is also addressed.
Content:
Front Matter....Pages I-IX
Front Matter....Pages 1-1
Epistemology Probabilized....Pages 3-16
Stochastic Independence for Upper and Lower Probabilities in a Coherent Setting....Pages 17-30
Qualitative Possibilistic Independence Based on Plausibility Relations....Pages 31-44
Independence Concepts for Belief Functions....Pages 45-58
Conditional Possibility and Necessity....Pages 59-71
The Membership Problem for Probabilistic and Data Dependencies....Pages 73-84
Belief Functions Induced by Randomized Communication Channels....Pages 85-98
Quantifying the Correlation between Two Internal-Valued Random Sets....Pages 99-108
How Information Measure Changes Due to Unreliability....Pages 109-121
Front Matter....Pages 123-123
On the Aggregation of Some Classes of Fuzzy Relations....Pages 125-136
Ordinal Sums of Aggregation Operators....Pages 137-147
Aggregation Principle in the Theory of Nonlinear PDE....Pages 149-158
Approximation of Membership Functions and Aggregation Operators Using Splines....Pages 159-172
The Ordered Weighted Geometric Operator: Properties and Application in MCDM Problems....Pages 173-183
On Dominance and Dispersion of a Class of Weighting Lists....Pages 185-195
Front Matter....Pages 197-197
On the Definition of Coherence Measure for Fuzzy Sets....Pages 199-208
Caracterizing k-Additive Fuzzy Measures....Pages 209-222
Design of Takagi-Sugeno Controllers Using Piecewise Constant Functions and a Normalized Fuzzification Transform....Pages 223-235
Fuzzy Temporal Rules: A Rule-based Approach for Fuzzy Temporal Knowledge Representation and Reasoning....Pages 237-250
On a New Method to T-transitive Fuzzy Relations....Pages 251-260
Front Matter....Pages 197-197
Intuitionistic Fuzzy Relations and Measures of Consensus....Pages 261-274
A Soft Design of Acceptance Sampling Plans by Variables....Pages 275-286
Front Matter....Pages 287-287
On the Problem of Performing Exact Partial Abductive Inference in Bayesian Belief Networks using Junction Trees....Pages 289-302
Computing Probabilities of Events in Bayesian Networks....Pages 303-312
Approximate Bayesian Networks....Pages 313-325
Stochastic Algorithms for Searching Causal Orderings in Bayesian Networks....Pages 327-340
SYMBIONT: A Cooperative Evolutionary Model for Evolving Artificial Neural Networks for Classification....Pages 341-354
Functional Equivalence between S-neural Networks and Fuzzy Models....Pages 355-363
Front Matter....Pages 365-365
Towards Mathematical Morpho-Logics....Pages 367-380
Fuzzy Sets from a Mathematical-Na?ve Point of View....Pages 381-391
On the Implementation of Fril++ for Object-Oriented Logic Programming with Uncertainty and Fuzziness....Pages 393-406
On some Simplifications of the Axiomatization of Monoidal Logic....Pages 407-415
Logical Measure — Structure of Logical Formula....Pages 417-429
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