Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods

By Morteza Pakdin Amiri. Expert systems with applications, 2010

473 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/5203e2e6d0847abaf8e7bd417c2849ef9b201755

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In Control and Systems Engineering

In Management Science and Operations Research

Citations in the corpus

An Analysis of Multi-Criteria Decision Making Methods (2013, methodology): “Minimizing criteria should be transformed to maximizing ones, for example, by formula (2) before being used in the analysis.”
Fuzzy AHP-TOPSIS approaches to prioritizing solutions for reverse logistics barriers (2018, methodology): “Amiri (2010) used AHP and fuzzy TOPSIS methods to project selection for oil-fields development in the National Iranian Oil Company.”
Supplier selection for development of petroleum industry facilities, applying multi-criteria decision making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting (2016, methodology): “Amiri (2010) proposed a combined AHP and Fuzzy TOPSIS method for oil field development project selection. Toloei Eshlaghy and Kalantary (2011) proposed a modified TOPSIS method for supplier selection. Tabar and Charkhgard (2012) suggested a Fuzzy TOPSIS model, integrated with the analytical network ”
A state-of the-art survey of TOPSIS applications (2012, methodology): “Identifying the most competitive port for developing a large-scale logistic center Extended TOPSIS with fuzzy Fazlollahtabar, Mahdavi, Talebi Ashoori, Kaviani, and Mahdavi-Amiri (2011) Selecting the best suppliers in the electronics market AHP, multi-objective nonlinear programming and multiple line”
Criteria in AHP: A Systematic Review of Literature (2015, unknown): “In three cases [11,12,15] a three-level structure was reported and in one case [22] a one-level structure was adopted.”