Title :
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
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;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
DOI :
10.1109/IEEM.2010.5674211
