International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 104 - Issue 2 |
Published: October 2014 |
Authors: Nesma Younes, Said M. Abdallah, M. Abdel Alim |
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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 ?.