Title :
Customer Value Assessment with Interval Numbers Based on Max-Entropy and TOPSIS
Author :
Zhang, Quan ; Yin, Tieyuan ; Jia, Wei
Author_Institution :
Sch. of Inf. Eng., ShenYang Univ. of Technol., Shenyang
Abstract :
This paper proposes an approach to customer value assessment based on Max-Entropy and TOPSIS, while customerspsila information are interval numbers. The decision matrix in the form of interval is normalized and transformed into a definite one based on maximizing the entropy of the decision matrix; The weights of attributes are then determined, which are used in assessing the alternatives based on TOPSIS. An example is used to illustrate the proposed approach.
Keywords :
customer services; decision theory; entropy; matrix algebra; number theory; optimisation; TOPSIS; customer value assessment; decision matrix; interval number; max-entropy; Costs; Data engineering; Data mining; Decision making; Entropy; Frequency domain analysis; Knowledge engineering; Paper technology; Performance analysis; Regression tree analysis; Customer value assessment; Entropy; Interval Numbers; TOPSIS;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.141