|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 104 - Issue 2 |
| Published: October 2014 |
| Authors: Nesma Younes, Said M. Abdallah, M. Abdel Alim |
10.5120/18172-9058
|
Nesma Younes, Said M. Abdallah, M. Abdel Alim . Fuzzy Approach for the Synthesis of Mass Exchange Network. International Journal of Computer Applications. 104, 2 (October 2014), 5-11. DOI=10.5120/18172-9058
@article{ 10.5120/18172-9058,
author = { Nesma Younes,Said M. Abdallah,M. Abdel Alim },
title = { Fuzzy Approach for the Synthesis of Mass Exchange Network },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 104 },
number = { 2 },
pages = { 5-11 },
doi = { 10.5120/18172-9058 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Nesma Younes
%A Said M. Abdallah
%A M. Abdel Alim
%T Fuzzy Approach for the Synthesis of Mass Exchange Network%T
%J International Journal of Computer Applications
%V 104
%N 2
%P 5-11
%R 10.5120/18172-9058
%I Foundation of Computer Science (FCS), NY, USA
This article addresses a fuzzy logic approach to calculate the optimum minimum allowable composition difference (?) to target the minimum total annualized cost (TAC) of a mass exchange network (MEN), which is based on combining composition interval diagram (CID) with fuzzy set theory. The value of ? directly affect the TAC as a main constrain. By utilizing this decision algorithm it gives the opportunity to calculate the optimum composition difference by decision making from a wide range of assumed ?. This method is very simple and more convenient than the methods previously published; as the decision is taken without calculating TAC for every assumed ?.