Quotient space based problem solving a theoretical foundation of granular computing

Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. Explains the theory of hierarc...

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Detalles Bibliográficos
Autor principal: Zhang, Ling (-)
Otros Autores: Zhang, Bo, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Oxford : Morgan Kaufmann 2014.
Edición:1st ed
Colección:Gale eBooks
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627879906719
Descripción
Sumario:Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing Describes a human-like, theoretical framework using quotient space theory, that will
Notas:Description based upon print version of record.
Descripción Física:1 online resource (xiii, 382 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9780128103098
9780124104433