Table 4.

Initial configuration of the expert risk inference system.

Expert Risk Fuzzy Inference System
Input data	Range	Output data	Range
Sensors’ measurement assessment	0–10	Expert Risk	0–100 2
		2 Actual range is 10–100, for more details see Sub-Section 2.2.1.
History assessment	0–10	Initial configuration
		Fuzzy structure: Mamdani–type. Membership function type: trapezoidal. Defuzzification method: centroid [58].	Implication method: MIN. Aggregation method: MAX. Number of fuzzy rules: 29.
Assessment of other factors	0–10	Subset of the 29 fuzzy rules 1. IF (Sensors_Measurement_Assessment is Medium) AND (History_Assessment is Low) AND (Assessment_Other_Factors is Low) THEN (Expert_Risk is R1) 2. IF (Sensors_Measurement_Assessment is Low) AND (History_Assesment is High) AND (Assessment_Other_Factors is High) THEN (Expert_Risk is R5)
Example of combination of fuzzy rules 1 and 2