PESTLE ANALYSIS

Enter external factors, rate their impact and likelihood, and calculate priorities and a risk-adjusted DCF valuation.

Fuzzy Logic Rules

Threat intensity and likelihood are rated from 0 to 100 and converted into overlapping low, medium and high fuzzy memberships. The resulting centroid is always positive: 0 means no threat and 100 means the greatest threat.

#	IF impact is	AND likelihood is	THEN conclusion	Centre (z)
1	Low	Low	No threat	0
2	Low	Medium	No threat	0
3	Low	High	No threat	0
4	Medium	Low	Low threat	20
5	Medium	Medium	Material threat	50
6	Medium	High	High threat	70
7	High	Low	Moderate threat	40
8	High	Medium	High threat	75
9	High	High	Critical threat	100
Totals

Interactive rule example

Threat intensity: 600 = no threat; 100 = greatest threat Likelihood: 600 = low; 50 = medium; 100 = high

Activated conclusion—

Threat-intensity memberships

Likelihood memberships

All rule outputs and centroid

Centroid: z* = Σ(α × z) ÷ Σα = 0 ÷ 0 = 0.00

All nine rules use the minimum AND operator. Centroid defuzzification uses z* = Σ(α × z) / Σα on a 0–100 threat scale. The centroid is converted to a 1–10 risk rating and then to the DCF premium.

PESTLE-Adjusted DCF Valuation

Enter annual free cash flows and rates as percentages. The model converts the weighted PESTLE threat scores into a transparent risk premium capped by the maximum premium below.

Base WACC (%) Terminal growth (%) Maximum PESTLE premium (%)

Year 1 FCF Year 2 FCF Year 3 FCF Year 4 FCF Year 5 FCF

Base WACC—

PESTLE threat centroid—

Risk rating (1–10)—

PESTLE risk premium—

Adjusted discount rate—

Base enterprise value—

Risk-adjusted enterprise value—

Valuation impact—

Risk rating = 1 + 9 × (threat centroid ÷ 100). Risk premium = maximum premium × (risk rating − 1) ÷ 9. A rating of 1 adds no premium; a rating of 10 adds the selected maximum premium.