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  • Doherty, Patrick,1957-Linköpings universitet,Tekniska högskolan,KPLAB - Laboratoriet för kunskapsbearbetning (author)

Approximation Transducers and Trees : A Technique for Combining Rough and Crisp Knowledge

  • Article/chapterEnglish2004

Publisher, publication year, extent ...

  • Berlin, Heidelberg, New York :Springer,2004
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-22951
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-22951URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:vet swepub-contenttype
  • Subject category:kap swepub-publicationtype

Notes

  • Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms.It is well understood now in the soft computing community that hybrid approaches combining various paradigms provide very promising attempts to solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neurocomputing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Lukaszewicz, Witold,1947-Linköpings universitet,Tekniska högskolan,KPLAB - Laboratoriet för kunskapsbearbetning(Swepub:liu)wiflu32 (author)
  • Skowron, AndrzejInstitute of Mathematics Warsaw University (author)
  • Szalas, Andrzej,1956-Linköpings universitet,Tekniska högskolan,KPLAB - Laboratoriet för kunskapsbearbetning(Swepub:liu)andsz77 (author)
  • Linköpings universitetTekniska högskolan (creator_code:org_t)

Related titles

  • In:Rough-Neural Computing: Techniques for Computing with WordsBerlin, Heidelberg, New York : Springer, s. 189-21897835404305993540430598

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