@inproceedings{01e821aca8744df18bb141b1d8933cd3,
title = "Fuzzy patterns in multi-level of satisfaction for MCDM model using modified smooth S-curve MF",
abstract = "Present research work relates to a methodology using modified smooth logistic membership function (MF) in finding out fuzzy patterns in multi-level of satisfaction (LOS) for Multiple Criteria Decision-Making (MCDM) problem. Flexibility of this MF in applying to real world problem has been validated through a detailed analysis. An example elucidating an MCDM model applied in an industrial engineering problem is considered to demonstrate the veracity of the proposed methodology. The key objective of this paper is to guide decision makers (DM) in finding out the best candidate-alternative with higher degree of satisfaction with lesser degree of vagueness under tripartite fuzzy environment. The approach presented here provides feedback to the decision maker, implementer and analyst.",
author = "Pandian Vasant and A. Bhattacharya and Barsoum, {N. N.}",
year = "2006",
month = jan,
day = "1",
language = "English",
isbn = "9783540283317",
volume = "3614",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer-Verlag Berlin Heidelberg",
pages = "1294--1303",
booktitle = "Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings",
edition = "PART II",
note = "Second International Confernce on Fuzzy Systems and Knowledge Discovery, FSKD 2005 ; Conference date: 27-08-2005 Through 29-08-2005",
}