Fuzzy simulation techniques in construction engineering and management

Mohammad Raoufi, Nima Gerami Seresht, Nasir Siraj, Aminah Robinson Fayek

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

11 Citations (Scopus)

Abstract

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex construction systems such as construction processes and project management practices; however, these techniques do not take into account the subjective uncertainties that exist in many construction systems. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. The objectives of this chapter are to show how to integrate fuzzy logic and simulation techniques in construction modelling and to provide methodologies for the development of fuzzy simulation models in construction. In this chapter, an overview of simulation techniques that are used in construction is …
Original languageEnglish
Title of host publicationFuzzy Hybrid Computing in Construction Engineering and Management
Subtitle of host publicationTheory and Applications
EditorsAminah Robinson Fayek
Place of PublicationBingley
PublisherEmerald
Pages149-178
ISBN (Electronic)9781787438682
ISBN (Print)9781787438699
DOIs
Publication statusPublished - 5 Oct 2018
Externally publishedYes

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