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This book comprehensively studies fuzzy temporal and spatial information, starting from the basics on fuzzy set theory and temporal/spatial reasoning, the development of a new model to represent fuzzy temporal/spatial information, the study of efficient and complete reasoning algorithms, and their a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schockaert, Steven
Otros Autores: Cock, Martine de, Kerre, Etienne E.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, NJ : World Scientific, ©2010.
Colección:Intelligent information systems ; v. 3.
Temas:
Fuzzy sets.
Spatial systems.
Ensembles flous.
Systèmes spatiaux.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Fuzzy sets
Spatial systems
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction. 1.1. Document retrieval. 1.2. Intelligent information access. 1.3. Recent trends. 1.4. The role of time and space. 1.5. Overview
  • 2. Preliminaries from fuzzy set theory. 2.1. Vagueness. 2.2. Fuzzy logic connectives. 2.3. Fuzzy sets. 2.4. Fuzzy relations. 2.5. Criticism of fuzzy set theory
  • 3. Relatedness of fuzzy sets. 3.1. Introduction. 3.2. Definition. 3.3. Properties. 3.4. Proof of the transitivity table
  • 4. Representing fuzzy temporal information. 4.1. Introduction. 4.2. Temporal relations. 4.3. Definitions based on relatedness measures. 4.4. Properties. 4.5. Evaluating the fuzzy temporal relations
  • 5. Reasoning about fuzzy temporal information. 5.1. Introduction. 5.2. Temporal reasoning. 5.3. Complete reasoning about fuzzy time spans. 5.4. Efficient reasoning about fuzzy time spans
  • 6. Event-based information retrieval. 6.1. Introduction. 6.2. Temporal information extraction. 6.3. Extracting time spans. 6.4. Extracting qualitative relations. 6.5. Fuzzy temporal reasoning. 6.6. Experimental results
  • 7. Representing fuzzy spatial information. 7.1. Introduction. 7.2. Spatial relations. 7.3. Definitions based on relatedness measures. 7.4. Fuzzifying the RCC. 7.5. Interpretation of fuzzy RCC relations
  • 8. Reasoning about fuzzy spatial information. 8.1. Introduction. 8.2. Spatial reasoning. 8.3. Satisfiability of fuzzy topological information. 8.4. Properties
  • 9. Geographic information retrieval. 9.1. Introduction. 9.2. Acquisition of geographical knowledge. 9.3. Location approximation and local search. 9.4. Establishing fuzzy footprints. 9.5. Modelling the neighbourhoods of Cardiff : A case study
  • Conclusions.

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