A NEW FUZZY HIERARCHICAL ANALYSIS METHOD BASED ON THE IDEAL ALTERNATIVE

摘要：

This paper puts forward a new fuzzy hierarchical analysis method, to extend the traditional AHP to fuzzy multi-attribute decision making environments.By substituting the fuzzy comparison vector for the crisp comparison matrix, our method is computationally easier, since there is no need to compute the eigenvalues or the eigenvectors, nor is there need to check the consistency of the comparison matrix.This method also uses an ideal alternative as the benchmark, thus successfully removing the dependence of alternatives normalized priority weights on one another.Further, by using the differences between fuzzy numbers, based on the decision makers uncertainty preference, as the final priority indexes of alternatives, our method is more likely to achieve ranking results that are in more agreement with the decision makers intentions.

关键词： Fuzzy Sets Fuzzy Hierarchical Analysis Method Ideal Alternative

作者: FENG KONG

作者单位: Department of Economics and Management, North China Electric Power University, Baoding 071003, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1204-1208

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）