<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Sensing degree of fuzziness in MCDM model using modified flexible S-curve MF"^^ . "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."^^ . "2007" . . "38" . "4" . . "International Journal of Systems Science"^^ . . . "00207721" . . . . . . . . . . "P."^^ . "Vasant"^^ . "P. Vasant"^^ . . "A."^^ . "Bhattacharya"^^ . "A. Bhattacharya"^^ . . . . . "HTML Summary of #283 \n\nSensing degree of fuzziness in MCDM model using modified flexible S-curve MF\n\n" . "text/html" . .