Relational structures for measures of ignorance
Different types of inexactness can be represented by fuzzy sets: vagueness, where there are no precise boundaries, ambiguity, when more than one distinguishable concept is described, generality, such that a word applies to a variety of situations, and ambivalence, where conflicting valuations can co...
| Autores: | , , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2011 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/45386 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/45386 |
| Access Level: | acceso abierto |
| Palabra clave: | 004.8 Ambiguity Ambivalence Vagueness Fuzziness Ignorance Relational structures Inteligencia artificial (Informática) 1203.04 Inteligencia Artificial |
| Sumario: | Different types of inexactness can be represented by fuzzy sets: vagueness, where there are no precise boundaries, ambiguity, when more than one distinguishable concept is described, generality, such that a word applies to a variety of situations, and ambivalence, where conflicting valuations can coexist. Different measures of ignorance can be used in order to grade the distinct attributes of inexact information Here we explore some of these measures from a relational point of view. |
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