Table 2 Assessment of weight sensitivity using NHFWPMSM operator.

From: Innovative art selection through neutrosophic hesitant fuzzy partitioned Maclaurin symmetric mean aggregation operator

Assigning weights

Scoring

Ordering

\(\{0.3000,0.2000,0.1000,0.4000\}\)

\(\S ({\Delta }_{1})=0.1962\), \(\S ({\Delta }_{2})=0.2354\), \(\S ({\Delta }_{3})=0.2065\), \(\S ({\Delta }_{4})=0.2022\)

\(\Delta _{2}>\Delta _{3}>\Delta _{4}>\Delta _{1}\)

\(\{0.3214,0.1275,0.1045,0.4466\}\)

\(\S ({\Delta }_{1})=0.1774\), \(\S ({\Delta }_{2})=0.2142\), \(\S ({\Delta }_{3})=0.1920\), \(\S ({\Delta }_{4})=0.1848\)

\(\Delta _{2}>\Delta _{3}>\Delta _{4}>\Delta _{1}\)

\(\{0.2079,0.1981,0.1342,0.4598\}\)

\(\S ({\Delta }_{1})=0.2019\), \(\S ({\Delta }_{2})=0.2412\), \(\S ({\Delta }_{3})=0.2107\), \(\S ({\Delta }_{4})=0.2074\)

\(\Delta _{2}>\Delta _{3}>\Delta _{4}>\Delta _{1}\)

\(\{0.2981,0.2041,0.1750,0.3228\}\)

\(\S ({\Delta }_{1})=0.2038\), \(\S ({\Delta }_{2})=0.2455\), \(\S ({\Delta }_{3})=0.2237\), \(\S ({\Delta }_{4})=0.2116\)

\(\Delta _{2}>\Delta _{3}>\Delta _{4}>\Delta _{1}\)

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