Trapezoidal Fuzzy Number Attitude Indicators Group Decision Making Approaches Based on Fuzzy Language
Sha Fu, Zhongli Liu, Hangjun Zhou, Dan Song, Yezhi Xiao
Journal of Data Processing, Vol. 5, No. 4, 2015.
DOI: 
Link: http://www.dline.info/jdp/fulltext/v5n4/jdpv5n4_3.pdf
Abstract:
The paper proposed a trapezoidal fuzzy numbers group decision making method based on attitude indicators,
in order to solve the multi- attribute group decision making problem for the evaluation of the information given in the
form of fuzzy language. Given the weights determining method of trapezoidal fuzzy number complementary judgment
matrix under the case of the weight of each attribute weight and decision-makers weight information are not entirely,
and solved each attribute weight information according to this method; then introduced attitude indicators and put
fuzzy language trapezoidal fuzzy number decision matrix into a decision matrix with attitude indicators. Use the
incomplete decision making information to build target programming model to get the decision-makers weight to meet
the objective function. Eventually, get the groups risk attitude and the programs comprehensive sorting situation by
integrate the attitude indicators of decision-makers. And also, the paper verified the feasibility and effectiveness of the
proposed method by a numerical example.