Dynamic linguistic weighted averaging operators applied to decision making

Author

Park, J.H. ; Kwun, Y.C. ; Koo, J.H.

Author_Institution

Dept. of Appl. Math., Pukyong Nat. Univ., Busan, South Korea

fYear

2010

fDate

7-10 Dec. 2010

Firstpage

921

Lastpage

925

Abstract

The dynamic multiple attribute decision making problems with linguistic information are investigated. A new aggregation operator called dynamic linguistic weighted averaging (DLWA) operator is presented. Based on the DLWA and LWAA operators, we develop a procedure to solve the we develop an approach to the dynamic linguistic multiple attribute decision making (DL-MADM) problems where all decision information about values takes the form of linguistic variables collected at different periods. Finally, an illustrative numerical example is also given.

Keywords

computational linguistics; decision making; DL-MADM problem; DLWA operator; LWAA operator; aggregation operator; decision information; dynamic linguistic multiple attribute decision making; dynamic linguistic weighted averaging operator; dynamic multiple attribute decision making problem; linguistic information; linguistic variable; Aggregates; Biological system modeling; Companies; Decision making; Fuzzy sets; Investments; Pragmatics; Group decision making; generalized induced linguistic ordered weighted harmonic mean (GILOWHM) operator; linguistic variable; operational laws;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on

Conference_Location

Macao

ISSN

2157-3611

Print_ISBN

978-1-4244-8501-7

Electronic_ISBN

2157-3611

Type

conf

DOI

10.1109/IEEM.2010.5674211

Filename

5674211