Parallel inference in dynamic decision support systems of a semiotic type

Vagin V., Allahverdi N., Tutuncu K., Saraçoğlu R., Sulak S.

JOURNAL OF INTELLIGENT MANUFACTURING, cilt.15, sa.4, ss.505-510, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 4
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1023/b:jims.0000034113.86022.bd
  • Dergi Adı: JOURNAL OF INTELLIGENT MANUFACTURING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.505-510
  • Van Yüzüncü Yıl Üniversitesi Adresli: Hayır

Özet

The organization of parallel inference in dynamic decision support systems (DDSS) of a semiotic type, oriented towards a solving of ill-formed problems in dynamic applied domains, is considered. As a knowledge representation model, there are used production rules reflecting expert knowledge about a problem domain, an environment and decision making processes. The main concepts and assertions defining possibility and impossibility of parallel executing the production rules are given. Several types of parallelism in an inference process are introduced. The corresponding algorithm of parallel inference is described. Thus, the purpose of this paper is to develop and to research parallel inference methods and procedures that provide efficient processing a large amount of production rules for DDSS of a semiotic type.