Name
Title | ||
|---|---|---|
Improved Assessment Model For Candidate Design Schemes With An Interval Rough Integrated Cloud Model Under Uncertain Group Environment |
Abstract | ||
|---|---|---|
Design scheme decision is a vital activity at the early stage of product development, which is usually conducted by expert assessment. Since various uncertainties inherently exist in experts' linguistic assessments, such as vagueness, randomness, and diversity, single uncertainty manipulation methods may not be sufficient to select suitable design alternatives. However, existing methods usually only employ single models to handle experts' assessment uncertainties. Besides, the relative weights of experts and assessment criteria are essential information in decision system which can reasonably capture the relationship of different factors. However, most current references only consider the criteria's weight, which also influences the rationality of assessment results. Hence, this study proposes a new decision model to address the above-mentioned limitations. First, a novel linguistic manipulation model, namely interval rough integrated clouds (IRICs), is developed to handle various uncertainties by combining the interval rough number theory and cloud model theory. Second, two hybrid-weighting methods are proposed to respectively identify the overall weights of experts and assessment criteria by considering both subjective and objective aspects. Finally, a real-world case of alternative assessment is conducted to demonstrate its feasibility and reliability. Some existing known methods evaluate the proposed method's performance, and the results illustrate that the proposed method is outperforming many existing assessment methods. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.engappai.2021.104352 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE |
Keywords | DocType | Volume |
Design scheme assessment, Interval rough number theory, Cloud model theory, Hybrid-weighting method, TOPSIS, Various uncertainties | Journal | 104 |
ISSN | Citations | PageRank |
0952-1976 | 1 | 0.35 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liming Xiao | 1 | 1 | 1.70 |
| Guangquan Huang | 2 | 3 | 4.09 |
| Genbao Zhang | 3 | 8 | 10.98 |