An Adaptive Hybrid Model for Determining Subjective Causal Relationships in Fuzzy System Dynamics Models for Analyzing Construction Risks

Modeling risk management systems in construction projects is a complex process because of various internal and external factors their interrelationships. Fuzzy system dynamics (FSD) have been commonly employed to model analyze systems. To run FSD simulation models, all hard (objective) soft (subjective) causal relationships between variables must be quantified. However, research gap exists regarding structured methods for constructing models. This paper proposes an adaptive hybrid consisting fuzzy analytical hierarchy process, weighted principle justifiable granularity, aggregation operators determine crisp values causality degree modeling analysis. The proposed implemented analyzing risks windfarm project illustrate its applicability. generates two results: (1) optimized membership functions linguistic terms representing the (2) value relationships. contribution study propose improve efficiency effectiveness developing quantitative by addressing different models considering multiple expertise heterogeneous experts assessment.