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You also cannot use a reference as a substitute for actual content, as you've done in the "Applications" section:
"Supply chain management such as Pishvaee et al. (2012)" means nothing. You are forcing the article readers to go find the source and read that before they can understand this article. You need to summarize what Pishavee et al actually said about supply chain management. Unlike academic writing, a Wikipedia article must be complete within itself. You cannot require readers to consult external sources just to understand the article.|u=Adam Rooney|ns=118|reviewer=Dodger67|reviewts=20160108160200|decliner=Dodger67|declinets=20160108163625|ts=20160108150401}} <!-- Do not remove this line! -->
{{AFC comment|1=I have requested assistance from [[WP:WikiProject Mathematics|WikiProject Mathematics]] to review this draft. [[User:Dodger67|Roger (Dodger67)]] ([[User talk:Dodger67|talk]]) 10:14, 5 February 2016 (UTC)}}
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'''Robust fuzzy programming (ROFP)''' is a powerful [[mathematical optimization]] approach to deal with optimization problems under [[uncertainty]]. This approach is firstly introduced at 2012 by Pishvaee, Razmi & Torabi<ref name=":0">{{Cite journal|title = Robust possibilistic programming for socially responsible supply chain network design: A new approach|url = http://www.sciencedirect.com/science/article/pii/S0165011412001819|journal = Fuzzy Sets and Systems|date = 2012-11-01|pages = 1–20|volume = 206|series = Theme : Operational Research|doi = 10.1016/j.fss.2012.04.010|first = M. S.|last = Pishvaee|first2 = J.|last2 = Razmi|first3 = S. A.|last3 = Torabi}}</ref> in the Journal of [http://www.journals.elsevier.com/fuzzy-sets-and-systems/ Fuzzy Sets and Systems]. ROFP enables the decision makers to be benefited from the capabilities of both [[fuzzy set|fuzzy]] mathematical programming and [[robust optimization]] approaches. At 2016 Pishvaee and Fazli<ref name=":1">{{Cite journal|title = Novel robust fuzzy mathematical programming methods|url = http://www.sciencedirect.com/science/article/pii/S0307904X15003686|journal = Applied Mathematical Modelling|date = 2016-01-01|pages = 407–418|volume = 40|issue = 1|doi = 10.1016/j.apm.2015.04.054|first = Mir Saman|last = Pishvaee|first2 = Mohamadreza|last2 = Fazli Khalaf}}</ref> put a significant step forward by extending the ROFP approach to handle flexibility of constraints and goals.ROFP is able to achieve a ''robust solution'' for an optimization problem under uncertainty.
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