eprintid: 1165
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/11/65
datestamp: 2023-11-09 15:49:19
lastmod: 2023-11-09 15:49:19
status_changed: 2023-11-09 15:39:08
type: article
metadata_visibility: show
creators_name: Vasant, P.
creators_name: Ganesan, T.
creators_name: Elamvazuthi, I.
title: Fuzzy linear programming using modified logistic membership function
ispublished: pub
note: cited By 5
abstract: In this study, new Fuzzy Linear Programming (FLP) based methodology using a specific membership function, named as modified logistic membership function is proposed. The modified logistic membership function is first formulated and its flexibility in taking up vagueness in parameter is established by an analytical approach. The developed methodology of FLP has provided a confidence in applying to real life industrial production planning problem. This approach of solving industrial production planning problem can have feedback with the decision maker, the implementer and the analyst. © Medwell Journals, 2010.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957168606&doi=10.3923%2fjeasci.2010.239.245&partnerID=40&md5=fc8e8feb3c54e54d3088f5e85ed093b4
id_number: 10.3923/jeasci.2010.239.245
full_text_status: none
publication: Journal of Engineering and Applied Sciences
volume: 5
number: 3
pagerange: 239-245
refereed: TRUE
issn: 1816949X
citation:   Vasant, P. and Ganesan, T. and Elamvazuthi, I.  (2010) Fuzzy linear programming using modified logistic membership function.  Journal of Engineering and Applied Sciences, 5 (3).  pp. 239-245.  ISSN 1816949X