Name
Abstract | ||
|---|---|---|
The technique for order performance by similarity to ideal solution (TOPSIS) is one of the major techniques in dealing with
multiple criteria decision making (MCDM) problems, and the belief structure (BS) model has been used successfully for uncertain
MCDM with incompleteness, impreciseness or ignorance. In this paper, the TOPSIS method with BS model is proposed to solve
group belief MCDM problems. Firstly, the group belief MCDM problem is structured as a belief decision matrix in which the
judgments of each decision maker are described as BS models, and then the evidential reasoning approach is used for aggregating
the multiple decision makers’ judgments. Subsequently, the positive and negative ideal belief solutions are defined with the
principle of TOPSIS. To measure the separation from ideal solutions, the concept and algorithm of belief distance measure
are defined, which can be used for comparing the difference between BS models. Finally, the relative closeness and ranking
index are calculated for ranking the alternatives. A numerical example is given to illustrate the proposed method. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s11633-010-0515-7 | International Journal of Automation and Computing |
Keywords | DocType | Volume |
belief structure bs model,technique for order performance by similarity to ideal solution topsis,multiple criteria decision making (mcdm),technique for order performance by similarity to ideal solution (topsis),group decision making,belief distance measure.,belief structure (bs) model,multiple criteria decision making mcdm,decision maker,evidential reasoning,indexation | Journal | 7 |
Issue | ISSN | Citations |
3 | 17518520 | 4 |
PageRank | References | Authors |
0.50 | 24 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiang Jiang | 1 | 32 | 5.60 |
| Ying-wu Chen | 2 | 227 | 16.61 |
| Dawei Tang | 3 | 156 | 6.95 |
| Yu-Wang Chen | 4 | 221 | 18.27 |