A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital

Table 1

Fuzzy rule set for employee’s knowledge performance degree.

K-1-1
IF	Proportion of staff with a university degree is very low
THEN	Employee’s knowledge degree is (VP).
K-1-2
IF	Proportion of staff with a university degree is low
THEN	Employee’s knowledge degree is (P).
K-1-3
IF	Proportion of staff with a university degree is medium
THEN	Employee’s knowledge degree is (F).
K-1-4
IF	Proportion of staff with a university degree is high
AND	Proportion of 30–50 age employees is low
THEN	Employee’s knowledge degree is (F).
K-1-5
IF	Proportion of staff with a university degree is high
AND	Proportion of 30–50 age employees is medium
THEN	Employee’s knowledge degree is (G).
K-1-6
IF	Proportion of staff with a university degree is high
AND	Proportion of 30–50 age employees is high
THEN	Employee’s knowledge degree is (VG).
K-1-7
IF	Proportion of staff with a university degree is very high
AND	Proportion of 30–50 age employees is low
THEN	employee’s knowledge degree is (F).
K-1-8
IF	Proportion of staff with a university degree is very high
AND	Proportion of 30–50 age employees is medium
THEN	Employee’s knowledge degree is (G).
K-1-9
IF	Proportion of staff with a university degree is very high
AND	Proportion of 30–50 age employees is high
THEN	Employee’s knowledge degree is (VG).