Name
Abstract | ||
|---|---|---|
In practice, multi-period evaluations have to be considered to obtain a reliable decision. Besides, owing to the increasing complexity of decision, the uncertainty of evaluation also increases. Therefore, this study proposes a dynamic decision making model which takes the TOPSIS technique as main structure, integrating the concepts of grey number and Minkowski distance function into it to deal with the uncertain information and aggregate the multi-period evaluations. A subcontractor selection example is adopted to demonstrate the feasibility and practicability of the proposed model. Results show that the proposed model is efficient and robust, and quite good for real-world applications. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.eswa.2007.08.064 | Expert Syst. Appl. |
Keywords | Field | DocType |
multi-period evaluation,dynamic decision,increasing complexity,grey number evaluation,grey relational analysis,real-world application,grey number,main structure,dynamic multi-attribute decision making,topsis technique,topsis,dynamic multi-attribute decision,minkowski distance function,reliable decision,distance function,dynamic decision making | Decision rule,Weighted product model,Data mining,Optimal decision,Computer science,Grey relational analysis,Weighted sum model,Influence diagram,TOPSIS,Decision engineering | Journal |
Volume | Issue | ISSN |
35 | 4 | Expert Systems With Applications |
Citations | PageRank | References |
39 | 1.68 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong-Huang Lin | 1 | 136 | 9.40 |
| Pin-Chan Lee | 2 | 75 | 6.26 |
| Hsin-I Ting | 3 | 39 | 1.68 |