Academic literature on the topic 'Multi-objective decision making techniques'

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Journal articles on the topic "Multi-objective decision making techniques"

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Yang, Zhe, Kan Yang, Yufeng Wang, Lyuwen Su, and Hu Hu. "The improved multi-criteria decision-making model for multi-objective operation in a complex reservoir system." Journal of Hydroinformatics 21, no. 5 (2019): 851–74. http://dx.doi.org/10.2166/hydro.2019.150.

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Abstract In multi-objective reservoir operation, it is vital for decision-makers to select optimal scheduling schemes through efficient multi-criteria decision-making (MCDM) techniques. However, in the family of MCDM methods, it is difficult for the technique for order preference by similarity to an ideal solution (TOPSIS) to describe grey correlation, thus making decisions with less reliability. To this end, a framework supporting high-quality solutions' acquirement and optimal reservoir operation decision-making is established. The improved multi-objective particle swarm optimization (IMOPSO
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Kesireddy, Adarsh, and F. Antonio Medrano. "Elite Multi-Criteria Decision Making—Pareto Front Optimization in Multi-Objective Optimization." Algorithms 17, no. 5 (2024): 206. http://dx.doi.org/10.3390/a17050206.

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Optimization is a process of minimizing or maximizing a given objective function under specified constraints. In multi-objective optimization (MOO), multiple conflicting functions are optimized within defined criteria. Numerous MOO techniques have been developed utilizing various meta-heuristic methods such as Evolutionary Algorithms (EAs), Genetic Algorithms (GAs), and other biologically inspired processes. In a cooperative environment, a Pareto front is generated, and an MOO technique is applied to solve for the solution set. On other hand, Multi-Criteria Decision Making (MCDM) is often used
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Coloma-Salazar, Manuel-Enrique, José Arzola-Ruiz, Clara-Elena Marrero-Fornaris, Vladimir Socha, and Umer Asgher. "A Combinatorial Approach for Optimizing Transportation System: Multi-Objective Decision-Making Framework." Neural Network World 34, no. 3 (2024): 135–68. https://doi.org/10.14311/nnw.2024.34.008.

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This study presents a comprehensive multi-objective transportation model aimed at optimizing complex vehicle routing problems, which are nondeterministic polynomial time NP-hard due to spatial, temporal, and capacity constraints. In this study, the multi-objective transportation model integrates decisionmaker preferences with hybrid optimization techniques, including the approximatecombinatorial method, ant colony optimization and evolutionary algorithms. it seeks to minimize transportation costs, time, and emissions while accounting for real-world constraints such as fleet composition, custom
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Farmani, Mohammad Reza, Jafar Roshanian, Meisam Babaie, and Parviz M. Zadeh. "Multi-objective collaborative multidisciplinary design optimization using particle swarm techniques and fuzzy decision making." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 226, no. 9 (2012): 2281–95. http://dx.doi.org/10.1177/0954406211432981.

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This article focuses on the efficient multi-objective particle swarm optimization algorithm to solve multidisciplinary design optimization problems. The objective is to extend the formulation of collaborative optimization which has been widely used to solve single-objective optimization problems. To examine the proposed structure, racecar design problem is taken as an example of application for three objective functions. In addition, a fuzzy decision maker is applied to select the best solution along the pareto front based on the defined criteria. The results are compared to the traditional op
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V. Chengal, Reddy, S. Kavitha, T. Nishkala, and Basha S. M. Jameel. "Multi objective optimization of 3D printing process using multi-attribute decision making methods." i-manager's Journal on Mechanical Engineering 12, no. 2 (2022): 40. http://dx.doi.org/10.26634/jme.12.2.18562.

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Fused deposition modeling (FDM) is one of the additive manufacturing (AM) methods widely used in many divisions, especially medical implants and aerospace, due to capabilities to build complex 3D objects and geometries. However, quality and dimensional accuracy of the FDM parts are significantly influenced by the various FDM process parameters including filament wire material. In the present work, new filament wire material Thermoplastic Polyurethane (TPU) was utilized to produce FDM parts. Hence, deciding the optimum process parameters is very critical to produce the FDM parts with good surfa
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Ozcalici, Mehmet. "Allocation with multi criteria decision making techniques." Decision Making: Applications in Management and Engineering 5, no. 2 (2022): 78–119. http://dx.doi.org/10.31181/dmame0305102022o.

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Kazimieras Zavadskas, Edmundas, Jurgita Antucheviciene, and Prasenjit Chatterjee. "Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management." Information 10, no. 1 (2018): 4. http://dx.doi.org/10.3390/info10010004.

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Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches in addition to a single paper proposing an interactive multi-objective decision-maki
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Dogan, Vedat, and Steven Prestwich. "Multi-Objective BiLevel Optimization by Bayesian Optimization." Algorithms 17, no. 4 (2024): 146. http://dx.doi.org/10.3390/a17040146.

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In a multi-objective optimization problem, a decision maker has more than one objective to optimize. In a bilevel optimization problem, there are the following two decision-makers in a hierarchy: a leader who makes the first decision and a follower who reacts, each aiming to optimize their own objective. Many real-world decision-making processes have various objectives to optimize at the same time while considering how the decision-makers affect each other. When both features are combined, we have a multi-objective bilevel optimization problem, which arises in manufacturing, logistics, environ
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Maputi, Edmund S., Rajesh Arora, and Duc Pham. "Multi-objective spur gear design using teaching learning-based optimization and decision-making techniques." Cogent Engineering 6, no. 1 (2019): 1665396. http://dx.doi.org/10.1080/23311916.2019.1665396.

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Simonovic, Slobodan P., and Nirupama. "A spatial multi-objective decision-making under uncertainty for water resources management." Journal of Hydroinformatics 7, no. 2 (2005): 117–33. http://dx.doi.org/10.2166/hydro.2005.0011.

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Water resources decision-making is a spatial problem. Topographical features of the region, location of water resources management infrastructure, interaction between the water resources system and other social and ecological systems and impact of different water resources regulation measures are all variables with considerable spatial variability. In this paper a new technique called Spatial Fuzzy Compromise Programming (SFCP) is developed to enhance our ability to address different uncertainties in spatial water resources decision-making. A general fuzzy compromise programming technique, whe
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Dissertations / Theses on the topic "Multi-objective decision making techniques"

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Mosadeghi, Razieh. "A Spatial Multi-Criteria Decision Making Model for Coastal Land Use Planning." Thesis, Griffith University, 2013. http://hdl.handle.net/10072/367691.

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Modern planning theories encourage approaches that consider different stakeholders with a variety of discourse types and values to minimise politically motivated and single interest dominated decisions. Quantitative approaches such as Multi-criteria Decision Making (MCDM) techniques combined with GIS have been applied successfully in a number of land suitability analysis and environmental planning and management scenarios. The use of spatial MCDM techniques can improve the transparency and analytic rigor of the future land use decisions. In the last decade, applications of the MCDM techniques
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Landmesser, John Andrew. "Improving it portfolio management decision confidence using multi-criteria decision making and hypervariate display techniques." Thesis, Nova Southeastern University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3609737.

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<p> Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and hypervariate display techniques can reduce cognitive load and improve decision confidence in IT PfM decisions. This dissertation investigates improving the decision confidence by reducing cognitive burden of the decision maker through greater comprehensi
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Castro, Amulfo de. "A technique for multi-attribute utility expansion planning under uncertainty : with focus on incorporating environmental factors into the planning process /." Diss., This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-06062008-162223/.

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Karami, Amin. "Utilization and Comparison of Multi Attribute Decision Making Techniques to Rank Bayesian Network Options." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5276.

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A fusion system sometimes requires the capability to represent the temporal changes of uncertain sensory information in dynamic and uncertain situation. A Bayesian Network can construct a coherent fusion structure with the hypothesis node which cannot be observed directly and sensors through a number of intermediate nodes that are interrelated by cause and effect. In some BN applications for observing a hypothesis node with the number of participated sensors, rank and select the appropriate options (different combination of sensors allocation) in the decision-making is a challenging problem. B
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Jaber, Ahmed. "Hybrid Algorithm for Multi-objective Mixed-integer Non-convex Mechanical Design Optimization Problems." Thesis, Troyes, 2021. http://www.theses.fr/2021TROY0034.

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Les problèmes d'optimisation sous contraintes non linéaires non convexes multi-objectifs en variables mixtes (discrètes et continues) apparaissent dans de nombreux domaines de l’ingénierie et notamment dans les applications de conception en mécaniques. Cette thèse vise à développer une nouvelle méthode pour résoudre ces problèmes d’optimisation. Notre proposition est une hybridation de l'algorithme multicritère « Branch-and-Bound » (MCBB) avec l’algorithme évolutionnaire de type NSGAII. L'approche proposée est en outre renforcée par de nouvelles stratégies de branchement conçues pour l’algorit
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Wang, Weijia. "Multi-objective sequential decision making." Phd thesis, Université Paris Sud - Paris XI, 2014. http://tel.archives-ouvertes.fr/tel-01057079.

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This thesis is concerned with multi-objective sequential decision making (MOSDM). The motivation is twofold. On the one hand, many decision problems in the domains of e.g., robotics, scheduling or games, involve the optimization of sequences of decisions. On the other hand, many real-world applications are most naturally formulated in terms of multi-objective optimization (MOO). The proposed approach extends the well-known Monte-Carlo tree search (MCTS) framework to the MOO setting, with the goal of discovering several optimal sequences of decisions through growing a single search tree. The ma
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Rios, Insua David. "Sensitivity analysis in multi-objective decision making." Thesis, University of Leeds, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236870.

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Ravichandran, Naresh Balaji. "Modelling homeostatic regulation in multi-objective decision-making." Thesis, KTH, Beräkningsvetenskap och beräkningsteknik (CST), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235059.

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This thesis attempts to model homeostatic regulation, a behavioural phenomenon ubiquitousin animals, in the domain of reinforcement learning. We specifically look at multi-objectivereinforcement learning that can facilitate multi-variate regulation. When multiple objectivesare to be handled, the current framework of Multi-objective Reinforcement Learning provesto be unsuitable without information on some preference over the objectives. We thereforemodel homeostatic regulation as a motivational process, that selectively activates some ob-jectives over others, and implements cognitive control. I
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Mohile, Pushpen K. "Multi-objective decision making for supplier selection in outsourcing /." Online version of thesis, 2008. http://hdl.handle.net/1850/8079.

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Cvetkovic, Dragan. "Evolutionary multi-objective decision support systems for conceptual design." Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/2328.

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In this thesis the problem of conceptual engineering design and the possible use of adaptive search techniques and other machine based methods therein are explored. For the multi-objective optimisation (MOO) within conceptual design problem, genetic algorithms (GA) adapted to MOO are used and various techniques explored: weighted sums, lexicographic order, Pareto method with and without ranking, VEGA-like approaches etc. Large number of runs are performed for findingZ Dth e optimal configuration and setting of the GA parameters. A novel method, weighted Pareto method is introduced and applied
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Books on the topic "Multi-objective decision making techniques"

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1957-, Lu Jie, ed. Multi-objective group decision making: Methods, software and applications with fuzzy set techniques. Imperial College Press, 2007.

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Massam, Bryan H. Multi-criteria decision making (MCDM) techniques in planning. Pergamon, 1988.

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Massam, B. H. Multi-criteria decision making (MCDM) techniques in planning. Pergamon Press, 1988.

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Insua, David Ríos. Sensitivity Analysis in Multi-objective Decision Making. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-51656-6.

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Insua, David Ríos. Sensitivity analysis in multi-objective decision making. Springer-Verlag, 1990.

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P, Serafini, and International Centre for Mechanical Sciences., eds. Mathematics of multi objective optimization. Springer-Verlag, 1985.

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United States. National Aeronautics and Space Administration., ed. Multi-objective decision-making under uncertainty: Fuzzy logic methods. National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. Multi-objective decision-making under uncertainty: Fuzzy logic methods. National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. Fuzzy logic approaches to multi-objective decision-making in aerospace applications. National Aeronautics and Space Administration, 1994.

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International Conference on Multi-Objective Programming and Goal Programming (5th 2002 Nara, Japan). Multi-objective programming and goal programming: Theory and applications. Springer, 2003.

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Book chapters on the topic "Multi-objective decision making techniques"

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Singh, Davinder, Jaimal Singh Khamba, and Tarun Nanda. "Multi-criteria decision-making techniques." In Technology Innovation in Manufacturing. CRC Press, 2022. http://dx.doi.org/10.1201/9781003272977-5.

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Singh, Chandan Deep, and Jaimal Singh Khamba. "Multi-Criteria Decision-Making Techniques." In Manufacturing Competency and Strategic Success in the Automobile Industry. CRC Press, 2019. http://dx.doi.org/10.1201/9780429486302-6.

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Thakkar, Jitesh J. "Linear Programming Techniques for Multidimensional Analysis of Preference (LINMAP)." In Multi-Criteria Decision Making. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_12.

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Majumder, Mrinmoy, and Apu K. Saha. "Multi Criteria Decision Making." In Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-308-8_3.

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Raju, M. Sri Srinivasa, Kedar Nath Das, and Saykat Dutta. "A Multi-objective Evolutionary Algorithm with Clustering-Based Two-Round Selection Strategy." In Biologically Inspired Techniques in Many Criteria Decision Making. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8739-6_47.

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Chakraborty, Shankar, Prasenjit Chatterjee, and Partha Protim Das. "Normalization Techniques." In Multi-Criteria Decision-Making Methods in Manufacturing Environments. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003377030-34.

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Çakır, Esra, and H. Ziya Ulukan. "Fuzzy Multi-Objective Decision Making Approach for Nuclear Power Plant Installation." In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_148.

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Jindal, Muskan, and Areeba Kazim. "Systematic Review and Deliberation of Various Multi-Criteria Decision-Making Techniques." In Multi-Criteria Decision Modelling. CRC Press, 2021. http://dx.doi.org/10.1201/9781003125150-11-11.

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Chakraborty, Shankar, Prasenjit Chatterjee, and Partha Protim Das. "Criteria Weight Measurement Techniques." In Multi-Criteria Decision-Making Methods in Manufacturing Environments. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003377030-36.

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Shafik, Wasswa. "Machine Learning Techniques for Multicriteria Decision-Making." In Multi-Criteria Decision-Making and Optimum Design with Machine Learning. CRC Press, 2024. http://dx.doi.org/10.1201/9781032635170-13.

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Conference papers on the topic "Multi-objective decision making techniques"

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Elahi, Behin, Rakshitha Gokuldas, Sourabh Hegde, et al. "Using Multi-Criteria Decision-Making Techniques for Industrial Robot Selection." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935163.

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Köleoğlu, Nisanur, and Yunus Eroğlu. "Leader Selection for Intracompany Projects Using Multi-Criteria Decision Making Techniques." In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). IEEE, 2025. https://doi.org/10.1109/ichora65333.2025.11017047.

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Liu, Heyuan, Yi Zhao, and Fran�ois Mar�chal. "On the role of artificial intelligence in feature oriented multi-criteria decision analysis." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.175488.

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Balancing economic and environmental goals in industrial applications is critical amid challenges like climate change. Multi-objective optimization (MOO) and multi-criteria decision analysis (MCDA) are key tools for addressing conflicting objectives. MOO generates viable solutions, while MCDA selects the optimal option based on key performance indicators such as profitability, environmental impact, safety, and efficiency. However, large datasets pose a challenge in selecting the preferred solution during the MCDA process This study introduces a novel machine learning-enhanced MCDA framework an
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Patterson, Frank, and Daniel Schrage. "Comparison of Probabilistic and Fuzzy Multi-Attribute Decision Making Methods for Capturing Uncertainty in Concept Selection." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10118.

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An evolving set of modern conceptual design methods seek to explore the feasibility of a new generation of systems, with new capabilities, to accomplish missions that conventional vehicles cannot be empirically redesigned to perform. These methods attempt to provide a more complete understanding of a concept's design space, and can accurately forecast a design's feasibility in the face of huge uncertainties at the conceptual stage. Modern Multi-Attribute Decision Making (MADM) techniques are evolving to help designers narrow large sets of potential concept architectures while accounting for th
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Iftakher, Ashfaq, and M. M. Faruque Hasan. "Exploring Quantum Optimization for Computer-aided Molecular and Process Design." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.143809.

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Computer-aided Molecular and Process Design (CAMPD) is an equation-oriented multi-scale decision making framework for designing both materials (molecules) and processes for separation, reaction, and reactive separation whenever material choice significantly impacts process performance. The inherent nonlinearity and nonconvexity in CAMPD optimization models, introduced through the property and process models, pose challenges to state-of-the-art solvers. Recently, quantum computing (QC) has shown promise for solving complex optimization problems, especially those involving discrete decisions. Th
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Villalobos-Cid, Manuel, Daniel Vega-Araya, and Mario Inostroza-Ponta. "Application of different multi-objective decision making techniques in the phylogenetic inference problem." In 2017 36th International Conference of the Chilean Computer Science Society (SCCC). IEEE, 2017. http://dx.doi.org/10.1109/sccc.2017.8405145.

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Sabina Sánchez, Helem, Ramón Vilanova, Antonio Visioli, and Orlando Arrieta. "Nash solution as a multi-criteria decision making technique for control problems." In Actas de las XXXVII Jornadas de Automática 7, 8 y 9 de septiembre de 2016, Madrid. Universidade da Coruña, Servizo de Publicacións, 2022. http://dx.doi.org/10.17979/spudc.9788497498081.1243.

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. A control system problem can be viewed as a multi- objective problem due to the fact that there are many requirements to be satisfied. Nowadays, multi-objective optimization deals with this kind of problem by implementing optimization techniques, capable of searching for the Pareto set approximation, hereafter the designer needs to select the best solution that provides a good trade-off among the competitive objectives from the Pareto front approximation. Therefore, in this communication we address the problem of selecting the best trade-o_ between the conflictive objectives, this stage is c
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Fujita, Kikuo, Ken Nasu, Yuma Ito, and Yutaka Nomaguchi. "Global Product Family Design: Multi-Objective Optimization and Design Concept Exploration." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70858.

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Global product family design is the problem in which product variants and supply chain configuration are simultaneously designed. It has become a significant concern of manufacturing industries under globalization. Its context is not only complicated under various factors and their interactions but also vague under strategic decision making. In this paper, first, a multi-objective mixed-integer formulation of simultaneous design of module commonalization and supply chain configuration is developed under the criteria on quality, cost and delivery, and an optimization algorithm for obtaining Par
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Fleming, Peter J. "Tools and Techniques for Managing Many-Criteria Decision-Making." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369411.

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Mitroudas, Tilemahos, Vasiliki Balaska, Athanasios Psomoulis, and Antonios Gasteratos. "Multi-criteria Decision Making for Autonomous UAV Landing." In 2023 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2023. http://dx.doi.org/10.1109/ist59124.2023.10355707.

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Reports on the topic "Multi-objective decision making techniques"

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Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41026.

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The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The pur
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Pasupuleti, Murali Krishna. Optimal Control and Reinforcement Learning: Theory, Algorithms, and Robotics Applications. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv225.

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Abstract: Optimal control and reinforcement learning (RL) are foundational techniques for intelligent decision-making in robotics, automation, and AI-driven control systems. This research explores the theoretical principles, computational algorithms, and real-world applications of optimal control and reinforcement learning, emphasizing their convergence for scalable and adaptive robotic automation. Key topics include dynamic programming, Hamilton-Jacobi-Bellman (HJB) equations, policy optimization, model-based RL, actor-critic methods, and deep RL architectures. The study also examines traject
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Xu, Zhiteng, and Renbin Li. A systematic review and meta-analysis of outcomes following unicompartmental knee arthroplasty versus total knee arthroplasty for unicondylar knee osteoarthritis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0003.

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Review question / Objective: To conduct a systematic review and meta-analysis of randomized controlled trials comparing outcomes following unicompartmental knee arthroplasty versus total knee arthroplasty for patients with unicondylar knee osteoarthritis. Condition being studied: Knee osteoarthritis is a common disease in elderly population and its treatment strategies consist of non-operative treatment and surgery. Arthroplasty is a main surgery for this condition, while the optimal selection between unicompartmental knee arthroplasty and total knee arthroplasty remains debatable. We aim to c
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SAINI, RAVINDER, AbdulKhaliq Alshadid, and Lujain Aldosari. Investigation on the application of artificial intelligence in prosthodontics. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.12.0096.

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Review question / Objective: 1. Which artificial intelligence techniques are practiced in dentistry? 2. How AI is improving the diagnosis, clinical decision making, and outcome of dental treatment? 3. What are the current clinical applications and diagnostic performance of AI in the field of prosthodontics? Condition being studied: Procedures for desktop designing and fabrication Computer-aided design (CAD/CAM) in particular have made their way into routine healthcare and laboratory practice.Based on flat imagery, artificial intelligence may also be utilized to forecast the debonding of dental
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A, Bengolea, Chamorro F, Ozon N, Catalano HN, and Izcovich A. Effectiveness and safety of utilizing imaging techniques to guide treatment in patients with venous thromboembolism. Epistemonikos Interactive Evidence Synthesis, 2023. http://dx.doi.org/10.30846/ies.2b03926263.v1.

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Objective The objective of this systematic review is to perform a comprehensive evaluation of the efficacy and safety of the use of imaging to determine the duration of anticoagulant treatment in patients with thrombosis of any cause (idiopathic, resolved secondary or chronic) who have completed a period of 3 to 6 months of oral anticoagulant treatment. Methods In order to identify randomized clinical trials that evaluate our question of interest, we performed exhaustive searches in Epistemonikos and PubMed, from the date of creation of each source until February 2024. Additionally, we conside
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A, Bengolea, Chamorro F, Ozon N, Catalano HN, and Izcovich A. Effectiveness and safety of utilizing imaging techniques to guide treatment in patients with venous thromboembolism. Epistemonikos Interactive Evidence Synthesis, 2024. http://dx.doi.org/10.30846/ies.2b03926263.

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Objective The objective of this systematic review is to perform a comprehensive evaluation of the efficacy and safety of the use of imaging to determine the duration of anticoagulant treatment in patients with thrombosis of any cause (idiopathic, resolved secondary or chronic) who have completed a period of 3 to 6 months of oral anticoagulant treatment. Methods In order to identify randomized clinical trials that evaluate our question of interest, we performed exhaustive searches in Epistemonikos and PubMed, from the date of creation of each source until February 2024. Additionally, we conside
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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,
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Droubi, Sufyan, and Fernando Lannes Fernandes. https://discovery.dundee.ac.uk/en/publications/sustainable-citizen-decision-making-impact-of-the-cost-of-living-. University of Dundee, 2023. http://dx.doi.org/10.20933/100001298.

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The present report is the outcome of a research project commissioned by Zero Waste Scotland and carried out by the Just Transition Hub (JTH), University of Dundee, with the objective of understanding the ways in which the cost-of-living crisis has affected the attitudes and behaviours of individuals and communities towards a transition to a low-carbon economy in Scotland. We define the transition as encompassing both energy transition and the transition to a circular economy, so in this report the word “transition(s)” means both the referred transitions. We define the scope of “justice” to cov
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Sánchez Torres, Fabio, and Jairo Núñez. A Dynamic Analysis of Household Decision-Making in Urban Colombia, 1976-1998: Changes in Household Structure, Human Capital and its Returns, and Female Labor Force Participation. Inter-American Development Bank, 2002. http://dx.doi.org/10.18235/0011388.

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The objective of this paper is to examine the changes and dynamics of household structure, human capital and the returns to education, labor earnings, women's labor force participation and investment in human capital. The approach used in the analysis is the so-called "cohort technique," which consists of following across time men and women born in the same year or year spell. The main sources of information for this work are the quarterly Household Surveys beginning in 1976. With such information a database of more than 6 million observations (workers, parents, children, etc.) was constructed
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Sett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, et al. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, 2022. http://dx.doi.org/10.53324/wnsg2302.

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Adaptive Social Protection (ASP) as discussed in this report is an approach to enhance the well-being of communities at risk. As an integrated approach, ASP builds on the interface of Disaster Risk Management (DRM), Climate Change Adaptation (CCA) and Social Protection (SP) to address interconnected risks by building resilience, thereby overcoming the shortcomings of traditionally sectoral approaches. The design of meaningful ASP measures needs to be informed by specific information on risk, risk drivers and impacts on communities at risk. In contrast, a limited understanding of risk and its d
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