Multi-observer Decision Making Approach Using Power Fuzzy Soft Sets

S. Bouznad (1) , F. Sebbak (2, 1) , F. Benhammadi (2) , Yacine Y. Amirat (1) , A. A. Chibani (1)

1 SIRIUS
2 EMP - École Militaire Polytechnique [Alger]

In the present paper, a method based on a new concept called power fuzzy soft set is proposed for multi-observer decision making problems under uncertain information. The new method applies a weighted conjunctive operator to aggregate these sets into a reliable resultant power fuzzy soft set from the input data set. To decide among the alternatives, a new ranking algorithm is introduced. The effectiveness and feasibility of this method are demonstrated by comparing it to algorithms based on the maximum score in decision making.

Mots clés: Uncertain information; Multiobserver decision making; Fuzzy sets theory; Weighted conjunctive operator; Ranking algorithm; Power fuzzy soft set

Domaines: Intelligence artificielle [cs.AI]

S. Bouznad, F. Sebbak, F. Benhammadi, Yacine Y. Amirat, A. A. Chibani. Multi-observer Decision Making Approach Using Power Fuzzy Soft Sets. Proc. Of the IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2017, Jul 2017, Naples, Italy. pp.1-6. ⟨hal-01539390⟩