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

fYear

2009

fDate

23-25 Jan. 2009

Firstpage

937

Lastpage

940

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on

Conference_Location

Moscow

Print_ISBN

978-0-7695-3543-2

Type

conf

DOI

10.1109/WKDD.2009.141

Filename

4772088

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2583466