Method for Multiple Attribute Decision Making with Intervals Based on Clustering Algorithm and its Application
Fangwei Zhang · Shuxue de shijian yu renshi · 2010
This paper proposes a method for solving the multi-attribute decision making problems with normal random variables.The method is leaded by attribute mean clustering and the comparison between interval numbers is avoided.Finally,an illustrative example is given to demonstrate the feasibility and practicability of the proposed method.