| Title |
A Rough Decision-Making Model for Biomaterial Selection |
| Authors |
Pamucar, Dragan , Chatterjee, Prasenjit , YAZDANI, MORTEZA, Chakraborty, Shankar |
| External publication |
No |
| Means |
Mater. Horiz. |
| Scope |
Article |
| Nature |
Científica |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144913708&doi=10.1007%2f978-981-13-9977-0_15&partnerID=40&md5=d5d35ed126f82e8b9a9e2f32e40ba5f6 |
| Publication date |
01/01/2019 |
| ISI |
000544491200013 |
| Scopus Id |
2-s2.0-85144913708 |
| DOI |
10.1007/978-981-13-9977-0_15 |
| Abstract |
Biomaterials are artificial or natural materials that substitute the impaired organic parts to fulfill the global medical requirements for improving resilience and quality of human life. Thus, it has become indispensable to select the most appropriate materials for various biomedical applications. In this chapter, a decision-making model integrating analytic hierarchy process (AHP) as well as combinative distance-based assessment (CODAS) techniques based on rough numbers has been developed for determining the performance scores of different biomaterials for a hip joint prosthesis application. Sensitivity analyses and comparative result analysis show an excellent performance of the integrated model against with respect to some well-established decision-making methods in terms of derived ranking patterns. © 2019, Springer Nature Singapore Pte Ltd. |
| Keywords |
AHP; Biomaterial selection; CODAS; Decision making; Rough numbers |
| Universidad Loyola members |
|
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