A Guide to Integrating Expert Opinion and Fuzzy AHP When Generating Weights for Composite Indices

Table 1

Survey responses.

Expert	Articles in Q1/Q2 journals	Proxy
		EF	UR	INF	INFRA	CPI	PI	RL	SD	KC	CO2E
1	Greater than 20	7	4	4	6	7	7	6	4	4	5
2	Greater than 10, less than 20	7	6	7	6	7	6	7	7	7	7
3	Greater than 20	6	5	5	5	6	7	6	4	5	3
4	Less than 5	6	7	7	6	7	7	6	5	6	5
5	Greater than 5, less than 10	7	7	7	7	7	7	7	6	7	4
Weight (%)		11.0	9.6	10.0	10.0	11.3	11.3	10.6	8.6	9.6	8.0

Proxy abbreviations: EF: restricting economic freedoms; UR: unemployment rate; INF: inflation; INFRA: poor infrastructure; CPI: corruption; PI: political instability; RL: rule of law; SD: social dissension; KC: poor knowledge creation; CO2E: CO2 emissions. The values in bold are the expert weights which have been computed by transforming the survey responses into index weights.