A model of three-way decisions for Knowledge Harnessing
| Autor: | Juan Galán-Páez, Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz |
|---|---|
| Přispěvatelé: | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
| Rok vydání: | 2020 |
| Předmět: |
Theoretical computer science
Forgetting Computer science business.industry Applied Mathematics Knowledge-based systems Context (language use) 02 engineering and technology Logical point Theoretical Computer Science Variable (computer science) Work (electrical) Knowledge base Artificial Intelligence 020204 information systems Variable forgetting Three way 0202 electrical engineering electronic engineering information engineering Three-way decisions 020201 artificial intelligence & image processing business Knowledge Harnessing Decision model Software |
| Zdroj: | idUS: Depósito de Investigación de la Universidad de Sevilla Universidad de Sevilla (US) idUS. Depósito de Investigación de la Universidad de Sevilla instname |
| Popis: | The present work introduces the Knowledge Harnessing, by showing its theoretical foundations as well as a three-way decision model to deal with it. The problem poses how to extract valid information about a specific context from conflicting or uncertain information received by a system (or agent). With this aim, forgetting variable operators are used to both characterize the problem from the logical point of view and provide a theoretical solution as an acceptance-rejection problem. Since the formalization is semantic in nature (it considers the models of the knowledge base that admit the extracted knowledge), general bounds are provided for acceptance-rejection evaluation on boundary region. |
| Databáze: | OpenAIRE |
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