Abstract:

The current information fusion method usually adopts Zadeh intersection or product in fuzzy soft sets based on multi-parameter decision making. In some practical applications, this method suffers a lack of information, which makes decision makers fail to make a right choice. In order to solve this problem, we propose a new algorithm based on the Einstein algorithm which can deal with the problems of information loss and improper object sorting. We obtain the resultant fuzzy soft set by the Einstein product operation, and get the comparison table and score table by the resultant fuzzy soft set. Finally, objects can be sorted totally and a basis is provided for decision makers. The correctness and effectiveness of the method in decision making are verified by an example.

Key words: fuzzy soft set, resultant fuzzy soft set, decision making