A Machine Learning-Assisted Decision-Making Methodology Based on Simplex Weight Generation for Non-Dominated Alternative Selection

References

• Alvarez PA, Ishizaka A, Martínez L (2021) Multiple-criteria decision-making sorting methods: A survey. Expert Systems Appl. 183:115368.Crossref, Google Scholar
• Bagherinezhad A, Bozorgmehry RB, Pishvaie MR (2017) Multi-criterion based well placement and control in the water-flooding of naturally fractured reservoir. J. Petroleum Sci. Engrg. 149:675–685.Crossref, Google Scholar
• Bhattacharjya D, Kephart JO (2014) Bayesian interactive decision support for multi-attribute problems with even swaps. Uncertainty in Artificial Intelligence—Proc. 30th Conf. UAI 2014 (Association for Uncertainty in Artificial Intelligence (AUAI), Arlington, VA), 72–81.Google Scholar
• Bratvold R, Begg S (2010) Making Good Decisions (Society of Petroleum Engineers, Richardson, TX).Crossref, Google Scholar
• Breiman L, Friedman JH, Olshen RA, Stone CJ (1984) Classification and Regression Trees (Wadsworth and Brooks, Monterey, CA).Google Scholar
• Chehouri A, Younes R, Ilinca A, Perron J (2016) Wind Turbine Design: Multi-Objective Optimization (InTech, London, UK).Google Scholar
• Coello Coello CA, Lamont GB, Veldhuizen DAV (2007) Evolutionary Algorithms for Solving Multi-Objective Problems (Springer, New York). Google Scholar
• Correia M, Hohendorff J, Gaspar AT, Schiozer D (2015) UNISIM-II-D: Benchmark case proposal based on a carbonate reservoir. Proc. SPE Latin American and Caribbean Petroleum Engrg Conf. (SPE) (Society of Petroleum Engineers (SPE), Richardson, TX).Google Scholar
• Danielson M, Ekenberg L (2015) Using surrogate weights for handling preference strength in multi-criteria decisions. Lecture Notes Bus. Inform. Processing 218:107–118.Crossref, Google Scholar
• Danielson M, Ekenberg L (2020) Automatic criteria weight generation for multi-criteria decision making under uncertainty. Lecture Notes Bus. Inform. Processing 405: 1–14.Crossref, Google Scholar
• Das I, Dennis JE (1998) Normal-boundary intersection: A new method for generating the pareto surface in nonlinear multicriteria optimization problems. SIAM J. Optim. 8:631–657.Crossref, Google Scholar
• de Moraes MB (2024) Replication data. https://github.com/mbdemoraes/deca-simplex.Google Scholar
• de Moraes MB, Coelho GP (2022) A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D. Expert Systems Appl. 202:117251.Crossref, Google Scholar
• de Moraes MB, Coelho GP, Santos AAS, Schiozer DJ (2023) Binary well placement optimization using a decomposition-based multi-objective evolutionary algorithm with diversity preservation. Comput. Geosci. 27:765–782.Crossref, Google Scholar
• Deb K, Jain H (2014) An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: Solving problems with box constraints. IEEE Trans. Evol. Computat. 18:577–601.Crossref, Google Scholar
• Fishburn PC (1967) Letter to the Editor—Additive utilities with incomplete product sets: Application to priorities and assignments. Oper. Res. 15(3):537–542.Link, Google Scholar
• Gini C (1909) Concentration and dependency ratios (in Italian). English translation in Rivista di. Politica Economica 87 (1997):769–789.Google Scholar
• Kumar R, Singh S, Bilga PS, Jatin Singh J, Singh S, Scutaru ML, Pruncu CI (2021) Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review. J. Materials Res. Tech. 10:1471–1492.Crossref, Google Scholar
• Kunsch PL, Brans JP (2019) Visualising multi-criteria weight elicitation by multiple stakeholders in complex decision systems. Oper. Res. Internat. J. 19:955–971.Crossref, Google Scholar
• Libório MP, Martinuci OdS Ekel PI, Hadad RM, Lyrio RdM, Bernardes P (2022) Measuring inequality through a non-compensatory approach. GeoJournal 87(6):4689–4706.Crossref, Google Scholar
• Liesiö J, Mild P, Salo A (2007) Preference programming for robust portfolio modeling and project selection. Eur. J. Oper. Res. 181:1488–1505.Crossref, Google Scholar
• Liesiö J, Salo A, Keisler JM, Morton A (2021) Portfolio decision analysis: Recent developments and future prospects. Eur. J. Oper. Res. 293:811–825.Crossref, Google Scholar
• Mazurek J, Strzałka D (2022) On the Monte Carlo weights in multiple criteria decision analysis. PLoS One 17(10):1–18.Crossref, Google Scholar
• Monat JP (2009) The benefits of global scaling in multi-criteria decision analysis. Judgm. Decision Making 4:492–508.Crossref, Google Scholar
• Nabhani A, Mardaneh E, Sjølie HK (2024) Multi-objective optimization of forest ecosystem services under uncertainty. Ecological Model. 494:110777.Crossref, Google Scholar
• Salo A, Keisler J, Morton A (2011) Portfolio Decision Analysis (Springer, New York).Crossref, Google Scholar
• Santos A, Gaspar A, Avansi G, von Hohendorff Filho J, Correia M, Zampieri M, Mello S, Santos S, Rios V, Schiozer D (2022) Case study for field development and management—Selection of production strategy based on UNISIM-II. Version 2. University of Campinas. Accessed April 5, 2024, https://www.unisim.cepetro.unicamp.br/benchmarks/en/unisim-ii/unisim-ii-d.Google Scholar
• Schiozer DJ, Santos AAS, Drumond PS (2015) Integrated model based decision analysis in twelve steps applied to petroleum fields development and management. Europec 2015 (Society of Petroleum Engineers (SPE), Richardson, TX), 524–536.Google Scholar
• Shannon CE (1948) A mathematical theory of communication. The Bell System Tech. J. 27(3):379–423.Crossref, Google Scholar
• von Winterfeldt D, Edwards W (1986) Decision Analysis and Behavioural Research (Cambridge University Press, New York).Google Scholar