Name
Abstract | ||
|---|---|---|
Design concept evaluation which is in the end of conceptual design is one of the most critical decision points in product development. It relates to the final success of product development, because a poor design concept can rarely be compensated at the later stages. Design concept evaluation is a complicated multi-criteria decision-making problem under uncertain environments. Vague set theory is superior to fuzzy set theory in dealing with uncertain and imprecise judgments of decision makers (DMs) due to its ability of supporting opposing evidences. In this paper, a new integrated design concept evaluation approach based on vague sets is presented. Linguistic variables are transformed into vague numbers by vague set theory. Modified weighted least squares model (WSLM) based on vague sets is proposed to aggregate all individual judgments in group decision-making. Vague cross-entropy integrated with the technique for order preference by similarity to ideal solution (TOPSIS) framework is proposed to rank the order of alternatives according to the synthetic vague decision matrix. Numerical example of design concept evaluation problem of a horizontal directional drilling (HDD) machine indicates that the proposed integrated approach is systematic and effective to solve design concept evaluation problem regardless of complexity of product. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.eswa.2010.03.058 | Expert Syst. Appl. |
Keywords | Field | DocType |
poor design concept,vague set,vague sets,group decision-making,new integrated design concept,topsis,design concept evaluation problem,synthetic vague decision matrix,evaluation approach,vague cross-entropy,design concept evaluation,vague set theory,product development,conceptual design,vague numbers,decision maker,cross entropy,set theory,horizontal directional drilling,fuzzy set theory,group decision making | Conceptual design,Data mining,Decision matrix,Computer science,Fuzzy set,Integrated design,Vague set,Artificial intelligence,TOPSIS,Machine learning,Group decision-making,New product development | Journal |
Volume | Issue | ISSN |
37 | 9 | Expert Systems With Applications |
Citations | PageRank | References |
22 | 0.89 | 27 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiuli Geng | 1 | 82 | 4.15 |
| Xuening Chu | 2 | 238 | 21.29 |
| Zaifang Zhang | 3 | 165 | 7.84 |