Simulation-Based Fuzzy Logic Approach to Assessing the Effect of Project Quality Management on Construction Performance

Table 3

Linguistic terms and domains for the assessment of variables in the model.

Variables	Domain	Domain range	Linguistic terms for assessment of variables
Performance level of PQM practices	Quality index	0–100%	No formal approach	Reactive approach	Stable-formal system	Continual improvement emphasized	Best-in-class performance
Number of nonconformance events	Fuzzy	NA	Very low	Low	Average	High	Very high
Quality level of the project requirements (𝑄)	Fuzzy	NA	Very poor	Poor	Average	Good	Very good
Frequency level of occurrence of the quality level (𝐹)	Psychometric	0–10	Very unusual	Unusual	Often	Usual	Very usual
Adverse consequence resulting of the quality level (𝐶)	Psychometric	0–10	Very mild	Mild	Medium	Severe	Very severe
Number of disruptions in a given construction activity (𝑁)	Number of disruptions	0–+∞	Very small	Small	Medium	Large	Very large
Duration of delays due to disruptions (𝐷)	Duration of delay (hours)	0–+∞	Very small	Small	Medium	Large	Very large