Fuzzy Subsets Theory-Based Imprecision Modeling Using Ontology and Applied to Risk Estimation in Project Intelligent Management

Abdelmadjid L., Mimoun M.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Türkiye, 19 - 21 Temmuz 2022, cilt.504, ss.847-855 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 504
  • Doi Numarası: 10.1007/978-3-031-09173-5_97
  • Basıldığı Şehir: Bornova
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.847-855
  • Anahtar Kelimeler: Fuzzy databases, Fuzzy SQL, Fuzzy queries, Fuzzy logic, Ontology, Meta knowledge, Project intelligent management, Risk estimate
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

The increasing complexity and dynamism of construction projects has imposed substantial uncertainties and subjectivities into the risk analysis process. Effective risk management involves a process that includes risk identification, risk assessment, risk response and risk monitoring. Risk assessment is already solved using fuzzy expert systems, entropic weighting or fuzzy linguistic multiple attribute decision making.