Assessment of Causes of Delays in the Road Construction Projects in the Benin Republic Using Fuzzy PIPRECIA Method

Table 16

Computation and results of the utilization of fuzzy PIPRECIA and inverse fuzzy PIPRECIA for technical delay causes.

PIPRECIA													Df
T1				1.000	1.000	1.000	1.000	1.000	1.000	0.148	0.167	0.220	0.172
T2	0.811	1.050	1.067	0.933	0.950	1.189	0.841	1.053	1.071	0.124	0.175	0.235	0.177
T3	1.033	1.050	1.100	0.900	0.950	0.967	0.870	1.108	1.190	0.129	0.185	0.261	0.188
T4	1.233	1.350	1.400	0.600	0.650	0.767	1.135	1.705	1.984	0.168	0.284	0.436	0.290
T5	0.395	0.500	0.689	1.311	1.500	1.605	0.707	1.136	1.513	0.105	0.189	0.332	0.199
SUM							4.553	6.002	6.759
PIPRECI-I													DF
T1	0.833	0.889	1.033	0.967	1.111	1.167	0.500	0.825	1.293	0.077	0.156	0.308	0.168
T2	0.611	0.889	1.000	1.000	1.111	1.389	0.583	0.916	1.250	0.090	0.173	0.298	0.180
T3	0.389	0.489	0.667	1.333	1.511	1.611	0.810	1.018	1.250	0.125	0.192	0.298	0.199
T4	1.233	1.350	1.400	0.600	0.650	0.767	1.304	1.538	1.667	0.202	0.290	0.397	0.293
T5				1.000	1.000	1.000	1.000	1.000	1.000	0.155	0.189	0.238	0.191
SUM							4.196	5.298	6.460