Decision Method Based on Relational Synthetic Analysis
Often in face of deciding schemes with many factors in production and life, relational analysis of the factors is an important basis of decision. The decision method is analyzed and studied to avoid strong subjectivity and improve weighting rationality. Optimization and entropy of information are used to adjust the weighting values of each factor and BP neural network to learn how to train assignment. According to principles of gray relation, a decision method based on gray relational synthetic analysis has been proposed, the decision model established and decision processing algorithm designed. The simulation with Matlab software proves the decision result is correct, which realizes the purpose of decision in the condition of multiple factors.
decision entropy gray relation optimization weighting
Jing Zhang
Computer Network Center, Panzhihua University, Panzhihua, China
国际会议
成都
英文
104-107
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）