Renewable Energy for Sustainable Growth Assessment. Группа авторов

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= (1, 1, 1) for non-beneficial indicators respectively. Table 2.8 presents the resulting fuzzy weighted decision matrix with their values ranges from the closed interval [0,1] and final ranking obtained following steps (f)-(h).

Table 2.4 The TOPSIS result.

RE technology	I1	I2	I3	I4	I5	I6	I7	I8	I9	I10	Si+	Si-	Ri	Ranking
Large hydropower	0.0611	0.0822	0.0472	0.0379	0.0682	0.0179	0.0020	0.0115	0.0722	0.0674	0.0952	0.1589	0.6253	2
Small hydropower	0.0611	0.0164	0.0472	0.0483	0.0477	0.0001	0.0001	0.0344	0.0433	0.0405	0.0857	0.1587	0.6494	1
Solar PV	0.0114	0.0164	0.0189	0.0500	0.0341	0.0022	0.0022	0.0574	0.0144	0.0270	0.1030	0.1603	0.6088	4
Onshore wind power	0.0267	0.0164	0.0262	0.0403	0.0341	0.0109	0.0110	0.0574	0.0289	0.0135	0.0938	0.1505	0.6162	3
Bioenergy	0.0412	0.0493	0.0671	0.0459	0.0273	0.0978	0.0993	0.0459	0.0433	0.0539	0.1588	0.0807	0.3369	5
Vj+	0.0611	0.0822	0.0671	0.0379	0.0682	0.0001	0.0001	0.0574	0.0144	0.0135
Vj-	0.0114	0.0164	0.0189	0.0500	0.0273	0.0978	0.0993	0.0115	0.0722	0.0674

Table 2.5 Normalized decision matrix for fuzzy-TOPSIS.

RE technology	I1	I2	I3	I4	I5	I6	I7	I8	I9	I10
Large hydropower	1.00	1.00	0.59	1.00	1.00	0.82	0.94	0.00	0.00	0.00
Small hydropower	1.00	0.00	0.59	0.13	0.50	1.00	1.00	0.50	0.50	0.50
Solar PV	0.00	0.00	Скачать книгу В начало < 26 27 28 29 30 31 32 33 34 35 > В конец e-mail: [email protected]