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, Turkey, 19 - 21 July 2022, vol.504, pp.847-855 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_97
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.847-855
  • Keywords: Fuzzy databases, Fuzzy SQL, Fuzzy queries, Fuzzy logic, Ontology, Meta knowledge, Project intelligent management, Risk estimate
  • Istanbul Technical University Affiliated: No

Abstract

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.