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Multicriteria analysis for evaluating and selecting suppliers under uncertainty

conference contribution
posted on 2017-12-06, 00:00 authored by Santoso WibowoSantoso Wibowo, Hepu DengHepu Deng
This paper presents a multicriteria analysis approach for evaluating and selecting suppliers under uncertainty. Linguistic variables approximated by triangular fuzzy numbers are used for effectively modelling the subjectiveness and imprecision of the decision making process. Pairwise comparison is adopted in the evaluation process for reducing the cognitive demand on the decision maker. A fuzzy multicriteria analysis algorithm is developed for generating an overall performance index for every alternative supplier across all criteria. An example is presented that shows the approach is simple and effective for solving the supplier selection problem in real world settings.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

1

End Page

5

Number of Pages

5

Start Date

2011-01-01

Finish Date

2011-01-01

ISBN-13

9789889867188

Location

Zhengzhou, China.

Publisher

ICNCI

Place of Publication

New Jersey, USA

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Faculty of Arts, Business, Informatics and Education; Learning and Teaching Education Research Centre (LTERC); RMIT University;

Era Eligible

  • Yes

Name of Conference

International Conference on Network and Computational Intelligence

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