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. 2023 Jun 8:1–15. Online ahead of print. doi: 10.1007/s11356-023-28052-4

Table 2.

Scenario analysis of fuzzy HFLTS

Real scenario Scenario (1) Scenario (2) Scenario (3)
Evaluation output Evaluation output Evaluation output Evaluation output
Tourism inspiration (0.205, 0.322, 0.134) (0.019, 0.991, 0.868) (0.855, 0.147, 0.297) (0.888, 0.758, 0.463)
Tourists’ engagement (0.385, 0.285, 0.326) (0.713, 0.145, 0.223) (0.821, 0.051, 0.362) (0.878, 0.668, 0.152)
Tourists’ well-being (0.213, 0.505, 0.564) (0.565, 0.719, 0.647) (0.289, 0.025, 0.017) (0.399, 0.786, 0.124)
Tourists’ revisit intentions (0.592, 0.116, 0.034) (0.154, 0.646, 0.933) (0.511, 0.579, 0.367) (0.701, 0.416, 0.144)
(0.123, 0.676, 0.722) (0.193, 0.749, 0.109) (0.126, 0.562, 0.806) (0.475, 0.498, 0.046)
Uij (0.995, 0.334, 0.638) (0.543, 0.701, 0.176) (0.379, 0.786, 0.845) (0.111, 0.186, 0.567)
CI (0.574, 0.358, 0.567) (0.036, 0.786, 0.365) (0.754, 0.146, 0.551) (0.867, 0.596, 0.999)
CR (0.461, 0.884, 0.483) (0.491, 0.713, 0.509) (0.176, 0.721, 0.532) (0.586, 0.436, 0.888)
µ (0.146, 0.192, 0.469) (0.332, 0.537, 0.778) (0.532, 0.653, 0.375) (0.315, 0.666, 0.394)