An MAGDM Approach Combining Numerical Values with Uncertain Linguistic Information and Its Application in Evaluation of R&D Projects Xin-Bao Liu , Feng Pei , Jian-Bo Yang , Shan-Lin Yang
- DOI
- 10.2991/ijcis.2010.3.5.7How to use a DOI?
- Keywords
- MAGDM; TOPSIS; Uncertain linguistic variables; Transformation function
- Abstract
In multi-attribute group decision making (MAGDM) problems, decision attributes of alternatives are often considered as with quantitative and qualitative information. Therefore decision making problems may include preference information in different formats. In this paper, a multi-attribute group decision making model based on numerical and uncertain linguistic information is investigated. Uncertain linguistic information reflects the subjectivity and uncertainty of evaluation with respect to qualitative attributes. A transformation function and an extended TOPSIS procedure are proposed to deal with this MAGDM model with numerical and uncertain linguistic information. In order to implement the TOPSIS procedure, the distance of interval numbers and the distance of n-dimensional interval numbers are defined, they are both in form of interval numbers to preserve the uncertainty of original information. The proposed approach is illustrated by a numerical example, and is applied in the evaluation of R&D projects in the final part of the paper.
- Copyright
- © 2010, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Xin-Bao Liu AU - Feng Pei AU - Jian-Bo Yang AU - Shan-Lin Yang PY - 2010 DA - 2010/10/01 TI - An MAGDM Approach Combining Numerical Values with Uncertain Linguistic Information and Its Application in Evaluation of R&D Projects Xin-Bao Liu , Feng Pei , Jian-Bo Yang , Shan-Lin Yang JO - International Journal of Computational Intelligence Systems SP - 575 EP - 589 VL - 3 IS - 5 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2010.3.5.7 DO - 10.2991/ijcis.2010.3.5.7 ID - Liu2010 ER -