Academic literature on the topic 'Multi-criteria decision making technique'

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Journal articles on the topic "Multi-criteria decision making technique"

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Jayady, Arman, Tonny Hidayat, Erni Qomariyah, et al. "Decision Support System with Multi Criteria Decision Making Technique." Journal of Physics: Conference Series 1933, no. 1 (2021): 012017. http://dx.doi.org/10.1088/1742-6596/1933/1/012017.

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Azhar, Nayli Adriana, Nurul Asyikin Mohamed Radzi, and Wan Siti Halimatul Munirah Wan Ahmad. "Multi-criteria Decision Making: A Systematic Review." (Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 14, no. 8 (2021): 779–801. http://dx.doi.org/10.2174/2352096514666211029112443.

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Multi Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are mainly categorised into pairwise comparison, outranking and distance-based approaches. Some well-known MCDM methods include the Analytical Hierarchy Process (AHP), Analytical Network Process
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Elanchezhian, C., B. Vijaya Ramnath, and Dr R. Kesavan. "Vendor Evaluation Using Multi Criteria Decision Making Technique." International Journal of Computer Applications 5, no. 9 (2010): 4–9. http://dx.doi.org/10.5120/943-1321.

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Odu, G. O. "Weighting methods for multi-criteria decision making technique." Journal of Applied Sciences and Environmental Management 23, no. 8 (2019): 1449. http://dx.doi.org/10.4314/jasem.v23i8.7.

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Azadfallah, Mohammad. "Multi-Criteria Decision Making for Ranking Decision Making Units." International Journal of Productivity Management and Assessment Technologies 6, no. 1 (2018): 17–36. http://dx.doi.org/10.4018/ijpmat.2018010102.

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There is no doubt the Data Envelopment Analysis (DEA) is a powerful method for the efficiency evaluation of Decision Making Units (DMUs) with multiple inputs and outputs. Despite its usefulness, DEA has some notable limitations. A significant drawback with this approach is that inability to fully rank the DMUs. In the extant literature, different methods for this purpose have been suggested. While, in the traditional method the first step for the DEA approach is used, and results of this step are input for the DEA ranking method in the second step. To reduce the computational complexity of the
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Badarovska Mishevska, Marina. "MULTI CRITERIA DECISION MAKING – RANKING AND PROMOTING EMPLOYEES." KNOWLEDGE INTERNATIONAL JOURNAL 31, no. 5 (2019): 1235–41. http://dx.doi.org/10.35120/kij31051235b.

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The analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. The method was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. It has particular application in group decision making and is used around the world in a wide variety of decision situation. Rather than prescribing a "correct" decision, the AHP helps decision makers choose one that best suits their goal and their understanding of the problem. The technique provides a comprehensive and rational framewo
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PARIDA, P. K., S. K. SAHOO, and B. BEHERA. "Multi-criteria Decision Making Models using Fuzzy TOPSIS Technique." Journal of Ultra Scientist of Physical Sciences Section A 28, no. 5 (2016): 286–93. http://dx.doi.org/10.22147/jusps-a/280507.

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Selly Marselina Hutabarat. "Implementasi Metode Smart (Simple Multi Atribute Rating Technique) Dalam Menentukan Jurusan Di Sma Hkbp 2 Tarutung." Jurnal Multimedia dan Teknologi Informasi (Jatilima) 3, no. 02 (2022): 47–52. http://dx.doi.org/10.54209/jatilima.v3i02.149.

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Wrong One role of SPK in the field of education is in the decision-making process for the selection of majors in high school, which in nature can assist decision makers in providing alternative decisions for appropriate majors for students, where the results of the decisions can be used as material to assist teachers and students in making decisions. Most students only follow friends to follow friends to choose a major so that it allows students to feel unsuitable after entering the major. Therefore we need a decision support system that can calculate the value, ability and personality of stud
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Alyazji, Qasem Anwar, and Gulsum Asiksoy. "Evaluating Mechanical Ventilators Using Multi Criteria Decision Making Techniques." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 07 (2021): 4. http://dx.doi.org/10.3991/ijoe.v17i07.21769.

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Mechanical ventilator (MV) is used to help the patient breathe by delivering gas to the lungs at a certain rate using positive pressure. The complex evaluation of mechanical ventilator devices at present time is a very important and topical issue, due to the presence of many mechanical ventilator companies, as it seems that the process of evaluation and selection of ventilator equipment needs strong experience in this field. Our paper show that multi criteria decision making (MCDM) methods can be applied to comparing and evaluating some alternatives of mechanical ventilator devices. This study
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C., Gayatri, and S. M. "Study for Best Data Obfuscation Techniques using Multi-Criteria Decision-Making Technique." International Journal of Computer Applications 180, no. 43 (2018): 50–57. http://dx.doi.org/10.5120/ijca2018917137.

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Dissertations / Theses on the topic "Multi-criteria decision making technique"

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Bandte, Oliver. "A probabilistic multi-criteria decision making technique for conceptual and preliminary aerospace systems design." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/12503.

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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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Clack, Gregory Lionel. "Developing a capital project selection framework using a multi-criteria decision analysis technique in a group decision environment." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49908.

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Thesis (MBA)--Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: Everyone, generally. would like to make good decisions, or receive the greatest benefit from a decision made. Companies are no different in this respect and the process of selecting an investment project portfolio has become an important activity. This is, further, complicated by the fact that companies have multiple, and often, conflicting objectives in a situation of capital rationing. This study project proposes a conceptual framework for project portfolio establishment, for application in an industrial manufacturing ty
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Tsogang, Motseothata Petrus. "Aspects of price determination using goal programming approaches / M.P. Tsogang." Thesis, North-West University, 2007. http://hdl.handle.net/10394/79.

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The use of goal programming in various real-world areas - including resource allocation, engineering, agriculture and other applications - has increased a lot in the past few years. The aim of this dissertation is to investigate goal programming approaches in determining prices. Various aspects of price determination - such as cosls, existing prices, competitors' prices, volume change due to price change and other aspects are incorporated in the model in order to suggest reasonable and realistic prices. Taking just these factors into account will not completely solve the problem, as there are
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Saksrisathaporn, Krittiya. "A multi-criteria decision support system using knowledge management and project life cycle approach : application to humanitarian supply chain management." Thesis, Lyon 2, 2015. http://www.theses.fr/2015LYO22016/document.

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Cette thèse vise à contribuer à la compréhension des cycle de vie d’une opération humanitaire (HOLC). Gestion de la chaîne d'approvisionnement humanitaire (HSCM) dans un contexte de mise en perspective et dans l’objectif de proposer un modèle décisionnel qui s'applique aux phases de HOLC lors d’une situation réelle. Cela inclut la mise en oeuvre du modèle proposé pour concevoir et développer un outil d'aide à la décision afin d'améliorer les performances de la logistique humanitaire tant dans les opérations de secours nationaux qu’internationaux.Cette recherche est divisée en trois phases. La
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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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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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Iezzi, Jana. "Multi-criteria decision making in outpatient scheduling." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001817.

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Bozkurt, Ahmet. "Multi-criteria Decision Making With Interdependent Criteria Using Prospect Theory." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608408/index.pdf.

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In this study, an integrated solution methodology for a general discrete multi-criteria decision making problem is developed based on the well-known outranking method Promethee II. While the methodology handles the existence of interdependency between the criteria, it can also incorporate the prospect theory in order to correctly reflect the decision behavior of the decision maker. A software is also developed for the application of the methodology and some applications are performed and presented.
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Books on the topic "Multi-criteria decision making technique"

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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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Thakkar, Jitesh J. Multi-Criteria Decision Making. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8.

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D, Lawrence Kenneth, Reeves Gary R, and Klimberg Ronald K, eds. Multi-criteria applications. JAI, 2000.

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Kahraman, Cengiz, ed. Fuzzy Multi-Criteria Decision Making. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76813-7.

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Munier, Nolberto, Eloy Hontoria, and Fernando Jiménez-Sáez. Strategic Approach in Multi-Criteria Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02726-1.

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Munier, Nolberto. Strategic Approach in Multi-Criteria Decision Making. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-44453-1.

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Fast, Jonathan C. Multiattribute decision modeling techniques: A comparative analysis. Air Force Human Resources Laboratory, Air Force Systems Command, 1988.

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Brugha, Cathal M. Differentiating attributes of decision alternatives from criteria of decision makers in multi criteria decision making (MCDM). University College Dublin, Dept of Management Information Systems, 1997.

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Triantaphyllou, Evangelos. Multi-criteria Decision Making Methods: A Comparative Study. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3157-6.

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Book chapters on the topic "Multi-criteria decision making technique"

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Thakkar, Jitesh J. "Technique for Order Preference and Similarity to Ideal Solution (TOPSIS)." In Multi-Criteria Decision Making. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_5.

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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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Bajal, Eshan, Alakananda Chakraborty, Muskan Jindal, and Shilpi Sharma. "Application of the MCDM Technique for an Astute Decision-Making Process in the Renewable Energy Sector." In Multi-Criteria Decision Modelling. CRC Press, 2021. http://dx.doi.org/10.1201/9781003125150-5-5.

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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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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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Shekhovtsov, Andrii, Aleksandra Kaczyńska, and Wojciech Sałabun. "Why Does the Choice of Normalization Technique Matter in Decision-Making." In Multiple Criteria Decision Making. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7414-3_6.

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Chakraborty, Shankar, Prasenjit Chatterjee, Partha Protim Das, Shankar Chakraborty, Prasenjit Chatterjee, and Partha Protim Das. "Measuring Attractiveness by a Categorical-Based Evaluation Technique (Macbeth)." In Multi-Criteria Decision-Making Methods in Manufacturing Environments. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003377030-23.

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Chakraborty, Shankar, Prasenjit Chatterjee, and Partha Protim Das. "Technique for Order of Preference by Similarity to Ideal Solution (Topsis)." In Multi-Criteria Decision-Making Methods in Manufacturing Environments. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003377030-8.

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Conference papers on the topic "Multi-criteria decision making technique"

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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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Chamupaty, Pratap Kumar, Prasant Kumar Pattnaik, and Biswajit Das. "Perception Ranking of Buyer's Preference Towards hatchback car-using Multi Criteria Decision Making Technique." In 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC). IEEE, 2025. https://doi.org/10.1109/esic64052.2025.10962567.

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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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Yogi, Kottala Sri, Dankan Gowda V, Atul Kumar Sahu, N. Sudhakar Reddy, Kondayapalepu V. V. Siva Prasad, and Rubaid Ashfaq. "Optimizing Automobile Purchase Decisions in India using Machine Learning and Multi-Criteria Decision-Making Techniques." In 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2025. https://doi.org/10.1109/icssas66150.2025.11080757.

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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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Zhang, Kun, Chao Hu, Deqing Huang, and Jiachen Shen. "Collaborative Decision-Making Technique for Wireless Communication Means Based on Multi-Agent Reinforcement Learning." In 2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2024. http://dx.doi.org/10.1109/ddcls61622.2024.10606559.

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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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Garcia, Alfonso, Len J. Krissa, and Jerry DeWitt. "Repair Prioritization Analysis for Cased Pipeline Crossings." In CORROSION 2016. NACE International, 2016. https://doi.org/10.5006/c2016-07587.

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Abstract A major pipeline Company has an inventory of approximately 2300 cased crossings throughout the various regions of Canada and the USA. Emphasis for managing and controlling corrosion within cased pipeline crossings is increasing from both operator and regulatory perspectives. Understanding the causes and characteristics of carrier pipe corrosion is an important stride towards improved integrity management of cased crossings. An excavation at a cased highway location is a complicated and intrusive process considering the impact to traffic and the numerous permits required prior to initi
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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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Chettri, A. K., R. Phipon, I. Shivakoti, D. Pandey, and A. Sharma. "Supplier selection using multi-criteria decision making technique." In PROCEEDINGS OF ADVANCED MATERIAL, ENGINEERING & TECHNOLOGY. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0024337.

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Reports on the topic "Multi-criteria decision making technique"

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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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Engau, A., and M. M. Wiecek. 2D Decision-Making for Multi-Criteria Design Optimization. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462566.

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Omar, Farhad, Steven T. Bushby, and Ronald D. Williams. Assessing the performance of residential energy management control algorithms: multi-criteria decision making using the analytical hierarchy process. National Institute of Standards and Technology, 2018. http://dx.doi.org/10.6028/nist.tn.2017.

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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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Stephens, Yue, and Bandstra. PR-224-094500-R01 Preliminary Target Reliability Levels for On-shore Liquid Pipelines. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010799.

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Report describes a set of preliminary reliability targets for low vapor pressure hydrocarbon liquid pipelines. The targets were developed as part of a multi-year program to establish the reliability based design and assessment (RBDA) method as a viable decision-making alternative for onshore transmission pipelines. The targets are used as acceptance criteria in the application of RBDA. A pipeline is considered acceptable if it meets these targets.
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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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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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Un, Leang, Somolireasmey Saphon, and Serey Sok. Gender Analysis of Survey on Cambodia’s Young and Older Generation: Family, Community, Political Knowledge and Attitudes, and Future Expectations. Cambodia Development Resource Institute, 2019. https://doi.org/10.64202/wp.117.201909.

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Cambodia, following more than two decades of impressive economic performance and development, is fast becoming one of Asia’s new tiger economies. Sustained robust GDP growth of over 7 percent has supported improvements in physical infrastructure (economic and social) and substantial poverty reduction. This economic improvement, mostly made possible by rapid manufacturing (garment industry), construction and tourism growth, is paving the way for rapid urbanisation. The pace of urbanisation combined with demographic change, improved access to education, and widespread internet use is playing a s
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L51574 Non-Conventional Means for Monitoring Pipelines in Areas of Soil Subsidence or Soil Movement. Pipeline Research Council International, Inc. (PRCI), 1988. http://dx.doi.org/10.55274/r0010329.

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Examines non-conventional techniques for monitoring curvatures, displacement, or strains in buried pipelines. Internal devices, external devices, and fiber optic techniques were examined. Feasibility of each system is discussed and the most promising are identified. Two companion studies 'Guidelines Pipeline Strain Monitoring by Conventional Means' (Reference 1) and 'A Proposed Model for the Intervention Decision Making Process in Pipeline Movement Situations' (Reference 2) have already been completed, and an effort to determine appropriate failure criteria for pipelines in areas of soil insta
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