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Vasant, Pandian and Bhattacharya, Arijit 
ORCID: https://orcid.org/0000-0001-5698-297X
(2007)
Sensing degree of fuzziness in MCDM model using modified flexible S -curve MF.
International Journal of Systems Science, 38 (4).
pp. 279-291.
ISSN 0020-7721
Abstract
It is hard to sense the degree of vagueness while using a Multiple Criteria Decision-Making (MCDM) model in industrial engineering problems. Selection of best candidate-alternative is an important issue when the attributes of the candidate-alternatives are conflicting in nature and they have incommensurable units. An MCDM model makes it possible to select the candidate-alternative that suits best for the investor. An example illustrating an MCDM model applied in plant-site selection problem has been considered in this article to demonstrate the veracity of the proposed methodology. The degree of vagueness hidden in the proposed approach has been investigated using a flexible modified logistic membership function (MF). The approach presented here provides feedback to the decision maker, implementer and analyst and gives a clear indication about the appropriate application and usefulness of the MCDM model. The key objective of this article is to guide decision makers in finding out the best candidate-alternative with higher degree of satisfaction and lesser degree of vagueness.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Social Sciences > Norwich Business School |
| UEA Research Groups: | Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management |
| Depositing User: | LivePure Connector |
| Date Deposited: | 25 Oct 2019 08:30 |
| Last Modified: | 23 Oct 2022 02:07 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/72775 |
| DOI: | 10.1080/00207720601117108 |
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