Technologies for Constructing Intelligent Systems 2

1. Front Matter

   Pages I-IX

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2. Fundamental Issues in Uncertainty

   1. Front Matter

      Pages 1-1

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   2. Epistemology Probabilized

      • Richard Jeffrey

      Pages 3-16

   3. Stochastic Independence for Upper and Lower Probabilities in a Coherent Setting

      • Giulianella Coletti, Romano Scozzafava

      Pages 17-30

   4. Qualitative Possibilistic Independence Based on Plausibility Relations

      • Nahla Ben Amor, Salem Benferhat, Khaled Mellouli

      Pages 31-44

   5. Independence Concepts for Belief Functions

      • Boutheina Ben Yaghlane, Philippe Smets, Khaled Mellouli

      Pages 45-58

   6. Conditional Possibility and Necessity

      • Bernadette Bouchon-Meunier, Giulianella Coletti, Christophe Marsala

      Pages 59-71

   7. The Membership Problem for Probabilistic and Data Dependencies

      • S. K. M. Wong, C. J. Butz

      Pages 73-84

   8. Belief Functions Induced by Randomized Communication Channels

      • Ivan Kramosil

      Pages 85-98

   9. Quantifying the Correlation between Two Internal-Valued Random Sets

      • Manuel Montenegro, María Ángeles Gil, María Teresa López, María Asunción Lubiano

      Pages 99-108

   10. How Information Measure Changes Due to Unreliability

       • Viviana Doldi, Gloria Naval, Carlo Bertoluzza

       Pages 109-121

3. Aggregation Methods

   1. Front Matter

      Pages 123-123

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   2. On the Aggregation of Some Classes of Fuzzy Relations

      • Ana Pradera, Enric Trillas, Elena Castiñeira

      Pages 125-136

   3. Ordinal Sums of Aggregation Operators

      • Bernard De Baets, Radko Mesiar

      Pages 137-147

   4. Aggregation Principle in the Theory of Nonlinear PDE

      • Endre Pap, Doretta Vivona

      Pages 149-158

   5. Approximation of Membership Functions and Aggregation Operators Using Splines

      • Gleb Beliakov

      Pages 159-172

   6. The Ordered Weighted Geometric Operator: Properties and Application in MCDM Problems

      • Francisco Chiclana, Francisco Herrera, Enrique Herrera-Viedma

      Pages 173-183

   7. On Dominance and Dispersion of a Class of Weighting Lists

      • Tomasa Calvo, Javier Martín, Gaspar Mayor, Jaume Suñer

      Pages 185-195

4. Fuzzy Sets

   1. Front Matter

      Pages 197-197

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   2. On the Definition of Coherence Measure for Fuzzy Sets

      • A. Sancho-Royo, J. L. Verdegay

      Pages 199-208

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.

• Bayesian network
• artificial intelligence
• data mining
• fuzziness
• fuzzy
• fuzzy sets
• information retrieval
• intelligence
• intelligent systems
• knowledge representation
• knowledge-based systems
• learning
• modeling
• neural networks
• uncertainty

• CNRS, LIP6, Université Paris VI, Paris, France

  Bernadette Bouchon-Meunier

• Facultad de Informática, Universidad Politécnica de Madrid, Boadilla del Monte, Madrid, Spain

  Julio Gutiérrez-Ríos

• Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain

  Luis Magdalena

• Machine Intelligence Institute, Iona College, New Rochelle, USA

  Ronald R. Yager

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