Gwo-Hshiung/ Shen,Kao-yi,Tzeng

When humans or computers need to make a decision, typically multiple conflicting criteria need to be evaluated--such as when we buy a car, we need to consider safety, cost and comfort. Multiple-Criteria Decision-Making has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can be more powerful combining with state-of-the-art analytics and machine learning. The authors introduce a new framework of Multiple-Criteria Decision-Making, which can lead to more acurate decision making. Several real-world cases will be included to illustrate the new hybrid approaches.