Fuzzy talent selection with multicriteria and multilevel decision making

Author

Huang, Yo Ping ; Chen, Mei-En

Author_Institution

Dept. of Comput. Sci. & Eng., Tatung Inst. of Technol., Taipei, Taiwan

Volume

3

fYear

1996

fDate

14-17 Oct 1996

Firstpage

1818

Abstract

The basic concept of fuzzy majority is used in developing the new methods for multicriteria and multilevel decision making problems. The precedence ordering criterion can help us to derive a preference ordering relational matrix which indicates the relative important degrees of each candidate to the others. We apply these new conjunct methods to solve the one-layer decision tree multilayer decision making problem, and the extended multilevel decision tree. Simulation results from various selection examples are presented to verify the applicability of the proposed model to the real world problems

Keywords

decision theory; fuzzy logic; fuzzy set theory; game theory; inference mechanisms; management science; matrix algebra; trees (mathematics); conjunct methods; decision tree; fuzzy relational matrix; fuzzy talent selection; game theory; multicriteria decision making; multilevel decision making; precedence ordering criterion; preference ordering; reasoning model; Computer science; Decision making; Decision trees; Finishing; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Game theory; Nonhomogeneous media; Personnel;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1996., IEEE International Conference on

Conference_Location

Beijing

ISSN

1062-922X

Print_ISBN

0-7803-3280-6

Type

conf

DOI

10.1109/ICSMC.1996.565385

Filename

565385