Research Article

Implementation of Building Information Modeling (BIM) Using Hybrid Z-DEMATEL-ISM Approach

Table 4

Fuzzy Z-number corresponding possibilities.

Linguistic variableAbbreviationCorresponding fuzzy applied setCorresponding Z-number applied set

No effect-unlikely(NO, U)[0, 0, 0.25][0, 0, 0.11]
No effect-fairly impossible(NO, FI)[0, 0, 0.25][0, 0, 0.16]
No effect-weak(NO, W)[0, 0, 0.25][0, 0, 0.18]
No effect-maybe(NO, M)[0, 0, 0.25][0, 0, 0.19]
No effect-likely(NO, L)[0, 0, 0.25][0, 0, 0.22]
No effect-most likely(NO, ML)[0, 0, 0.25][0, 0, 0.24]
No effect-certainly(NO, C)[0, 0, 0.25][0, 0, 0.25]
Very low-unlikely(VL, U)[0, 0.25, 0.5][0, 0.11, 0.22]
Very low-fairly impossible(VL, FI)[0, 0.25, 0.5][0, 0.16, 0.32]
Very low-weak(VL, W)[0, 0.25, 0.5][0, 0.18, 0.35]
Very low-maybe(VL, M)[0, 0.25, 0.5][0, 0.19, 0.39]
Very low-likely(VL, L)[0, 0.25, 0.5][0, 0.22, 0.45]
Very low-most likely(VL, ML)[0, 0.25, 0.5][0, 0.24, 0.47]
Very low-certainly(VL, C)[0, 0.25, 0.5][0, 0.25, 0.5]
Low-unlikely(L, U)[0.25, 0.5, 0.75][0.11, 0.22, 0.34]
Low-fairly impossible(L, FI)[0.25, 0.5, 0.75][0.16, 0.32, 0.47]
Low-weak(L, W)[0.25, 0.5, 0.75][0.18, 0.35, 0.53]
Low-maybe(L, M)[0.25, 0.5, 0.75][0.19, 0.39, 0.58]
Low-likely(L, L)[0.25, 0.5, 0.75][0.22, 0.45, 0.67]
Low-most likely(L, ML)[0.25, 0.5, 0.75][0.24, 0.47, 0.71]
Low-certainly(L, C)[0.25, 0.5, 0.75][0.25, 0.5, 0.75]
High-unlikely(H, U)[0.5, 0.75, 1][0.22, 0.34, 0.45]
High-fairly impossible(H, FI)[0.5, 0.75, 1][0.32, 0.47, 0.63]
High-weak(H, W)[0.5, 0.75, 1][0.35, 0.53, 0.71]
High-maybe(H, M)[0.5, 0.75, 1][0.39, 0.58, 0.77]
High-likely(H, L)[0.5, 0.75, 1][0.45, 0.67, 0.89]
High-most likely(H, ML)[0.5, 0.75, 1][0.47, 0.71, 0.95]
High-certainly(H, C)[0.5, 0.75, 1][0.5, 0.75, 1]
Very high-unlikely(VH, U)[0.75, 1, 1][0.34, 0.45, 0.45]
Very high-fairly impossible(VH, FI)[0.75, 1, 1][0.47, 0.63, 0.63]
Very high-weak(VH, W)[0.75, 1, 1][0.53, 0.71, 0.71]
Very high-maybe(VH, M)[0.75, 1, 1][0.58, 0.77, 0.77]
Very high-likely(VH, L)[0.75, 1, 1][0.67, 0.89, 0.89]
Very high-most likely(VH, ML)[0.75, 1, 1][0.71, 0.95, 0.95]
Very high-certainly(VH, C)[0.75, 1, 1][0.75, 1, 1]