eprintid: 673
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/73
datestamp: 2023-11-09 15:48:49
lastmod: 2023-11-09 15:48:49
status_changed: 2023-11-09 15:22:56
type: conference_item
metadata_visibility: show
creators_name: Elamvazuthi, I.
creators_name: Aftab, M.K.
creators_name: Andreeski, C.J.
creators_name: Vasant, P.
title: Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients
ispublished: pub
keywords: Decision makers; Decision making process; Fuzzy optimization; Fuzzy techniques; Industrial production; Objective functions; Oil companies; Profit function; S-curve; Uncertain resource, Curve fitting; Decision making; Industrial applications; Intelligent systems; Optimization; Profitability, Membership functions
note: cited By 1; Conference of 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009 ; Conference Date: 25 July 2009 Through 26 July 2009; Conference Code:78109
abstract: In this paper, a new fuzzy optimization based methodology called as a modified S-curve membership function has been utilized in an industrial production problems of oil company. The major contribution of this paper is on the optimization of profit function with respect to uncertain resource variables and technological coefficients. Three cases have been thoroughly studied in this paper. Comparative results have been successfully obtained for these three cases. This information will be very important for the decision makers in implementing their decision under vague environment. The decision maker has major advantages on the strategic and flexible decision making process via using the nmodified S-curve membership function in theoptimization of the profit function. © 2009 IEEE.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449085450&doi=10.1109%2fCITISIA.2009.5224212&partnerID=40&md5=e0856b0ca59895e46d3004411d9789a2
id_number: 10.1109/CITISIA.2009.5224212
full_text_status: none
publication: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009
place_of_pub: Kuala Lumpur
pagerange: 209-213
refereed: TRUE
isbn: 9781424428878
citation:   Elamvazuthi, I. and Aftab, M.K. and Andreeski, C.J. and Vasant, P.  (2009) Fuzzy technique for optimization of objective function with uncertain resource variables and technological coefficients.  In: UNSPECIFIED.