Title :
Applying fuzzy linguistic variable and ELECTRE method in R&D project evaluation and selection
Author :
Chen, C.T. ; Hung, W.Z.
Author_Institution :
Dept. of Inf. Manage., Nat. United Univ., Miao-Li, Taiwan
Abstract :
In general, R&D project evaluation and selection is a group multi-criteria decision problem (GMCDM). There are many quantitative and qualitative factors will influence the R&D projects selection. A more realistic approach may be use linguistic assessments instead of numerical values to solve the problems. Therefore, decision-makers¿ opinions are described by 2-tuple linguistic variables which can be expressed in different types. In this paper, a transformation method will be presented to transform the non-homogeneous linguistic information to a standard linguistic term set. Then, a new decision method is proposed by combining 2-tuple linguistic variables with ELECTRE method to determine the ranking order of R&D projects.
Keywords :
decision making; fuzzy set theory; research and development; 2-tuple linguistic variables; ELECTRE method; R&D project evaluation; R&D project selection; decision makers opinions; fuzzy linguistic variable; group multicriteria decision problem; linguistic assessment; nonhomogeneous linguistic information; numerical values; qualitative factors; quantitative factors; ranking order; standard linguistic term set; Costs; Decision making; Explosions; Globalization; Government; Information management; Mathematical model; Project management; Research and development; Research and development management; 2-tuple linguistic variable; ELECTRE; R&D project; multi-criteria decision making;
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
DOI :
10.1109/IEEM.2008.4738020
