Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2020.1774790
Decision making with both diversity supporting and opposing membership information
Mingming Hu
Minkun Liu
Jibin Lan
Sažetak
Online big data provides large amounts of decision information
to decision makers, but supporting and opposing information are
present simultaneously. Dual hesitant fuzzy sets (DHFSs) are useful
models for exactly expressing the membership degree of both
supporting and opposing information in decision making.
However, the application of DHFSs requires an improved distance
measure. This paper aims to improve distance measure models
for DHFSs and apply the new distance models to generate a technique
for order preference by similarity to an ideal solution
(TOPSIS) method for multiple attribute decision making (MADM).
Ključne riječi
MADM; dual hesitant fuzzy sets; axiom definition; distance measure model; TOPSIS
Hrčak ID:
254715
URI
Datum izdavanja:
9.2.2021.
Posjeta: 410 *