eprintid: 283
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/02/83
datestamp: 2023-11-09 15:15:55
lastmod: 2023-11-09 15:15:55
status_changed: 2023-11-09 15:13:43
type: article
metadata_visibility: show
creators_name: Vasant, P.
creators_name: Bhattacharya, A.
title: Sensing degree of fuzziness in MCDM model using modified flexible S-curve MF
ispublished: pub
keywords: Decision making; Industrial engineering; Mathematical models; Problem solving, Degree of fuzziness; Fuzzy MCDM; Level of satisfaction; Plant location selection; S-curve membership function, Membership functions
note: cited By 13
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.
date: 2007
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-34250875093&doi=10.1080%2f00207720601117108&partnerID=40&md5=d3cdf8d9b10cf3860cb310a97b3c98f9
id_number: 10.1080/00207720601117108
full_text_status: none
publication: International Journal of Systems Science
volume: 38
number: 4
pagerange: 279-291
refereed: TRUE
issn: 00207721
citation:   Vasant, P. and Bhattacharya, A.  (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 00207721