Study on Methods of Multi-objective Decision-making Based on Vague Sets

LI Tao-ying, and CHEN Yan

School of Economics & Management,

Dalian Maritime University,

Địa chỉ email này đã được bảo vệ từ spam bots, bạn cần kích hoạt Javascript để xem nó.

DM 01

Abstract. 

There are a great number of uncertainties in the process of dealing with multi-objective fuzzy decision-making, and vague set has advantages on dealing with uncertainty, however, sometimes traditional algorithms based on vague set are useless in determining which scheme is better.

By analyzing the characters of trace function and precision function and their disadvantages, a new multi-objective fuzzy decision-making algorithm, based on the unknown degree and uncertainty degree of vague sets, is given in this paper.

The new algorithm uses existent methods for reference, at the same time overcomes their disadvantages.

The new algorithm was proved reasonable in this paper and was applied into searching optimal scheme, and the result shows that it is effective and feasible.

Keywords:

Fuzzy Decision-making, Fuzzy set, Precision Function, Trace Function, Vague sets