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

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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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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Suvitha, Krishnan, Ranganathan Saraswathy, Chakkarapani Sumathi Thilagasree, Samayan Kalaiselvan, and Samayan Narayanamoorthy. "Designing and Analyzing Fermatean Fuzzy Decision Models: A Comprehensive Decision Making Approach." Journal of Intelligent Decision Making and Information Science 2 (March 5, 2025): 272–88. https://doi.org/10.59543/jidmis.v2i.12601.

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In the framework of Multi-Criteria Decision Making (MCDM), this study explores the incorporation of fuzzy set theory with decision-making techniques. It starts by giving a summary of fuzzy set theory and the basic ideas that are necessary to comprehend how decisions are made. The paper presents the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Logarithmic Percentage Change Driven Objective Weighting (LOPCOW), which are implemented using R programming. The paper illustrates the use of these approaches for alternative ranking and objective weight evaluationwith a

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Sivakumar, R. D. Assistant Professor Department of Computer Science, and S. Former Assistant Professor Department of Business Administration Brindha. "OPTIMIZATION TECHNIQUES FOR DECISION SUPPORT SYSTEMS." Indian Journal of Research and Development Systems in Technologization 1, no. 3 (2024): 30–40. https://doi.org/10.5281/zenodo.11202691.

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Decision Support Systems (DSS) are applied in these different areas like business, healthcare and logistics, they are critical tools that help users to get the best decision makings possible when using them. Optimization methods are paramount constitute the basis of the DSS for provisioning relevant and useful decision-making while maximizing accuracy. This paper starts by elucidating diverse optimization inner workings of DSSs, followed by data management and visualization, describing mathematical programming, heuristic approaches, and metaheuristic fundamentals. Mathematical programming cons

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Massam, Bryan H. "Multi-Criteria Decision Making (MCDM) techniques in planning." Progress in Planning 30 (January 1988): 1–84. http://dx.doi.org/10.1016/0305-9006(88)90012-8.

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Ruiz-Vélez, Andrés, José García, Gaioz Partskhaladze, Julián Alcalá, and Víctor Yepes. "Enhanced Structural Design of Prestressed Arched Trusses through Multi-Objective Optimization and Multi-Criteria Decision-Making." Mathematics 12, no. 16 (2024): 2567. http://dx.doi.org/10.3390/math12162567.

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The structural design of prestressed arched trusses presents a complex challenge due to the need to balance multiple conflicting objectives such as structural performance, weight, and constructability. This complexity is further compounded by the interdependent nature of the structural elements, which necessitates a comprehensive optimization approach. Addressing this challenge is crucial for advancing construction practices and improving the efficiency and safety of structural designs. The integration of advanced optimization algorithms and decision-making techniques offers a promising avenue

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Chinchali, Sandeep P., Scott C. Livingston, Mo Chen, and Marco Pavone. "Multi-objective optimal control for proactive decision making with temporal logic models." International Journal of Robotics Research 38, no. 12-13 (2019): 1490–512. http://dx.doi.org/10.1177/0278364919868290.

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The operation of today’s robots entails interactions with humans, e.g., in autonomous driving amidst human-driven vehicles. To effectively do so, robots must proactively decode the intent of humans and concurrently leverage this knowledge for safe, cooperative task satisfaction: a problem we refer to as proactive decision making. However, simultaneous intent decoding and robotic control requires reasoning over several possible human behavioral models, resulting in high-dimensional state trajectories. In this paper, we address the proactive decision-making problem using a novel combination of f

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Roostaee, R., M. Izadikhah, and F. Hosseinzadeh Lotfi. "An Interactive Procedure to Solve Multi-Objective Decision-Making Problem: An Improvment to STEM Method." Journal of Applied Mathematics 2012 (2012): 1–18. http://dx.doi.org/10.1155/2012/324712.

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Decisions in the real-world contexts are often made in the presence of multiple, conflicting, and incommensurate criteria. Multiobjective programming methods such as multiple objective linear programming (MOLP) are techniques used to solve such multiple-criteria decision-making (MCDM) problems. One of the first interactive procedures to solve MOLP is STEM method. In this paper we try to improve STEM method in a way that we search a point in reduced feasible region whose criterion vector is closest to positive ideal criterion vector and furthest to negative ideal criterion vector. Therefore the

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Xu, Changwen, and Minghua Yu. "On Multi-Objective Fuzzy Optimization of Ship Structures." International Shipbuilding Progress 42, no. 432 (1995): 325–41. https://doi.org/10.3233/isp-1995-4243203.

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In order to solve the multi-objective fuzzy optimization problems of ship structures, two approaches, known as the Maximum Level Method and the Linear Weighted Sum Method, based on the different forms of fuzzy decision-making are presented. In these methods, the membership functions are constructed for the subsets of the fuzzy goals subject to the fuzzy constraints, and then the multi-objective fuzzy optimization problem is transformed into the single-objective ordinary optimization problem, which can be solved by using nonlinear programming techniques. The proposed approaches are illustrated

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Gaspar-Cunha, António, Paulo Costa, Alexandre Delbem, Francisco Monaco, Maria José Ferreira, and José Covas. "Evolutionary Multi-Objective Optimization of Extrusion Barrier Screws: Data Mining and Decision Making." Polymers 15, no. 9 (2023): 2212. http://dx.doi.org/10.3390/polym15092212.

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Polymer single-screw extrusion is a major industrial processing technique used to obtain plastic products. To assure high outputs, tight dimensional tolerances, and excellent product performance, extruder screws may show different design characteristics. Barrier screws, which contain a second flight in the compression zone, have become quite popular as they promote and stabilize polymer melting. Therefore, it is important to design efficient extruder screws and decide whether a conventional screw will perform the job efficiently, or a barrier screw should be considered instead. This work uses

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Abifarin, Johnson, and Joseph Ofodu. "Determination of an efficient power equipment oil through a multi-criteria decision making analysis." Vojnotehnicki glasnik 70, no. 2 (2022): 433–46. http://dx.doi.org/10.5937/vojtehg70-36024.

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Introduction/purpose: Several studies in the area of the development of nanofluids for power equipment have left a gap unfilled as to how to determine the best oil among the produced oils for power equipment application. Therefore, this study presents a multi-criterial decision making analysis to determine the best oil for power equipment. Methods: The Grey relational analysis (GRA) and the Probability based multi-objective optimization techniques were employed as the multi-criterial decision making analytical tools for the optimization. Dielectric strength, dielectric loss, viscosity, and fla

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Chaitanya, K. Lakshmi, and Kolla Srinivas. "Sensitive Analysis on Selection of Piston Material Using MADM Techniques." Strojnícky časopis - Journal of Mechanical Engineering 69, no. 4 (2019): 45–56. http://dx.doi.org/10.2478/scjme-2019-0042.

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AbstractDecision making in material selection plays important role in selecting appropriate material based on design and manufacturing attributes. Proposing a new material is always a challenging task so the researchers used Decision making assistance tools. In the Present paper the application of Multi-Attribute Decision Making (MADM) methods are applied to the piston material selection for optimal design process. Comparative study of subjective and objective criteria weights on selected MADM methods are done. Sensitivity analysis is conducted to prove the consistency in performance score ran

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Jayarathna, Chamari Pamoshika, Duzgun Agdas, Les Dawes, and Tan Yigitcanlar. "Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review." Sustainability 13, no. 24 (2021): 13617. http://dx.doi.org/10.3390/su132413617.

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There are several methods available for modeling sustainable supply chain and logistics (SSCL) issues. Multi-objective optimization (MOO) has been a widely used method in SSCL modeling (SSCLM), nonetheless selecting a suitable optimization technique and solution method is still of interest as model performance is highly dependent on decision-making variables of the model development process. This study provides insights from the analysis of 95 scholarly articles to identify research gaps in the MOO for SSCLM and to assist decision-makers in selecting suitable MOO techniques and solution method

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Williams, Aled, and Yilun Cai. "Insights into Weighted Sum Sampling Approaches for Multi-Criteria Decision Making Problems." WSEAS TRANSACTIONS ON MATHEMATICS 24 (April 30, 2025): 327–46. https://doi.org/10.37394/23206.2025.24.32.

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In this paper we explore several approaches for sampling weight vectors in the context of weighted sum scalarisation approaches for solving multi-criteria decision making (MCDM) problems. This established method converts a multi-objective problem into a (single) scalar optimisation problem. It does so by assigning weights to each objective. We outline various methods to select these weights, with a focus on ensuring computational efficiency and avoiding redundancy. The challenges and computational complexity of these approaches are explored and numerical examples are provided. The theoretical

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Luo, Dang, and Yuwen Li. "Multi-stage and multi-attribute risk group decision-making method based on grey information." Grey Systems: Theory and Application 5, no. 2 (2015): 222–33. http://dx.doi.org/10.1108/gs-01-2015-0002.

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Purpose – For the multi-stage and multi-attribute risk group decision-making problem, the attribute weight, decision-maker weight and time weight are unknown. The attribute value is grey information. The purpose of this paper is to discuss a decision-making method. Design/methodology/approach – Analysis techniques and the theory about distance degree are used to determine the decision-maker weight within single stage. Grey relational analysis method is applied to determine the attribute weight. Moreover, the uncertainty of time weight and the proximity between the attribute value and positive/

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Gardashova, Latafat, and Alish Nazarov. "Development of a decision support system using advanced multi-criteria decision-making techniques." Technology audit and production reserves 1, no. 2(81) (2025): 62–68. https://doi.org/10.15587/2706-5448.2025.323377.

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The object of research is decision-making processes in conditions of uncertainty, with an emphasis on improving the accuracy and reliability of multi-criteria decision-making methods. The problem to be solved is the difficulty of making reliable and optimal decisions in dynamic environments where data variability, incomplete information, and subjective judgments pose significant challenges. Traditional methods often fail to adequately address these complexities, leading to suboptimal or unreliable outcomes. The essence of the results lies in the creation of a DSS (Decision Support System) that

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Kapsoulis, Dimitrios, Konstantinos Tsiakas, Xenofon Trompoukis, Varvara Asouti, and Kyriakos Giannakoglou. "Evolutionary multi-objective optimization assisted by metamodels, kernel PCA and multi-criteria decision making techniques with applications in aerodynamics." Applied Soft Computing 64 (March 2018): 1–13. http://dx.doi.org/10.1016/j.asoc.2017.11.046.

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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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Türegün, Nida. "Financial performance evaluation by multi-criteria decision-making techniques." Heliyon 8, no. 5 (2022): e09361. http://dx.doi.org/10.1016/j.heliyon.2022.e09361.

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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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Ruiz-Vélez, Andrés, José García, Julián Alcalá, and Víctor Yepes. "Sustainable Road Infrastructure Decision-Making: Custom NSGA-II with Repair Operators for Multi-Objective Optimization." Mathematics 12, no. 5 (2024): 730. http://dx.doi.org/10.3390/math12050730.

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The integration of sustainability principles into the structural design and decision-making processes for transportation infrastructure, particularly concerning reinforced concrete precast modular frames (RCPMF), is recognized as crucial for ensuring outcomes that are environmentally responsible, economically feasible, and socially beneficial. In this study, this challenge is addressed, with the significance of sustainable development in modern engineering practices being underscored. A novel approach, which is a combination of multi-objective optimization (MOO) with multi-criteria decision-ma

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Puryani, Puryani, and Sutrisno Sutrisno. "Development of Multi-Criteria Decision Making Model in the Packaged Beverage Industry to Minimize Production Costs and Maximize Machine Utility using the Step Method." RSF Conference Series: Engineering and Technology 1, no. 1 (2021): 535–44. http://dx.doi.org/10.31098/cset.v1i1.427.

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The packaged beverage industry has grown rapidly. Now a packaged beverage industry has emerged with various brands. The emergence of many competitors, requires the packaged beverage industry to implement a strategy to survive and win the competition. One of these strategies is to make savings and maximize the use of resources. The savings made are contradictory problems with maximizing the use of resources, this is due to the use of resources, for example, the use of machines will require operational costs, even though the industry must make savings.The problem above is a multi-criteria decisi

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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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Mellouli, Hala, Anwar Meddaoui, and Abdelhamid Zaki. "Enhancing industrial decision-making through Multi-Criteria Decision-Making approaches and ML-Integrated Frameworks." Data and Metadata 3 (August 16, 2024): 391. http://dx.doi.org/10.56294/dm2024391.

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Decision-making in current industrial contexts has shifted from intuition to a data-driven approach, requiring prompt processing of huge datasets. However, conventional Multi-Criteria Decision Making (MCDM) methodologies fall short of navigating the intricacy of large datasets. This paper introduces an innovative decision-support system integrating multi-criteria methods with machine learning techniques such as artificial neural networks. The proposed six-step framework aims to optimize operational decisions by analyzing real-time performance data. The research contributes to the advancement o

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Ali, Rahman, Anwar Hussain, Shah Nazir, Sulaiman Khan, and Habib Ullah Khan. "Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods." Applied Sciences 13, no. 22 (2023): 12426. http://dx.doi.org/10.3390/app132212426.

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Context: The selection and use of appropriate multi-criteria decision making (MCDM) methods for solving complex problems is one of the challenging issues faced by decision makers in the search for appropriate decisions. To address these challenges, MCDM methods have effectively been used in the areas of ICT, farming, business, and trade, for example. This study explores the integration of machine learning and MCDM methods, which has been used effectively in diverse application areas. Objective: The objective of the research is to critically analyze state-of-the-art research methods used in int

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George, Josy, and S. Balaguru. "Sustainable Supplier Selection in the Manufacturing Sector Using Integrated MCDM Techniques." MATEC Web of Conferences 393 (2024): 01013. http://dx.doi.org/10.1051/matecconf/202439301013.

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Selecting a supplier is a crucial task for any manufacturing company aiming to optimize its supply chain operations and gain a competitive advantage. The complexities of this decision-making process, influenced by various criteria and uncertainties, underscore the need for advanced methodologies such as Multi-Criteria Decision-Making (MCDM) techniques. These methodologies provide a structured framework for evaluating and prioritizing potential suppliers based on numerous criteria, often with conflicting considerations. This paper demonstrates the integration of the Analytical Hierarchy Process

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Baril, Chantal, Soumaya Yacout, and Bernard Clément. "Collaborative Decision-Making in Product Design: An Interactive Multiobjective Approach." Journal of Industrial Engineering 2013 (January 3, 2013): 1–12. http://dx.doi.org/10.1155/2013/201907.

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This paper presents a new procedure to solve multiobjective problems, where the objectives are distributed to various working groups and the decision process is centralized. The approach is interactive and considers the preferences of the working groups. It is based on two techniques: an interactive technique that solves multi-objective problems based on goal programming, and a technique called “linear physical programming” which considers the preferences of the working groups. The approach generates Pareto-optimal solutions. It guides the director in the determination of target values for the

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Zavadskas, Edmundas Kazimieras, Dragan Pamučar, Željko Stević, and Abbas Mardani. "Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes." Symmetry 12, no. 6 (2020): 986. http://dx.doi.org/10.3390/sym12060986.

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The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and op

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Ezell, Barry, Christopher Lynch, and Patrick Hester. "Methods for Weighting Decisions to Assist Modelers and Decision Analysts: A Review of Ratio Assignment and Approximate Techniques." Applied Sciences 11, no. 21 (2021): 10397. http://dx.doi.org/10.3390/app112110397.

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Computational models and simulations often involve representations of decision-making processes. Numerous methods exist for representing decision-making at varied resolution levels based on the objectives of the simulation and the desired level of fidelity for validation. Decision making relies on the type of decision and the criteria that is appropriate for making the decision; therefore, decision makers can reach unique decisions that meet their own needs given the same information. Accounting for personalized weighting scales can help to reflect a more realistic state for a modeled system.

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Shojaei, Bahman, Heidar Dashti Naserabadi, and Mohammad Javad Taheri Amiri. "Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach." Qubahan Academic Journal 4, no. 3 (2024): 861–81. http://dx.doi.org/10.48161/qaj.v4n3a1027.

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Effective allocation of human resources to project activities is crucial in optimizing project schedules and resource utilization. This paper addresses the challenge of competency-based workforce allocation in construction project scheduling by integrating multi-criteria decision-making with meta-heuristic optimization. A three-objective mathematical planning model aimed at minimizing project completion time, reducing implementation costs, and enhancing workforce competency is proposed. By leveraging expert opinions and multi-criteria decision-making techniques the relevant competency criteria

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Qureshi, Aiman Mazhar, and Ahmed Rachid. "Comparative Analysis of Multi-Criteria Decision-Making Techniques for Outdoor Heat Stress Mitigation." Applied Sciences 12, no. 23 (2022): 12308. http://dx.doi.org/10.3390/app122312308.

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Decision making is the process of making choices by organizing relevant information and evaluating alternatives. MCDMs (Multi-Criteria Decision Methods) help to select and prioritize alternatives step by step. These tools can help in many engineering fields where the problem is complex and advanced. However, there are some limitations of the different MCDMs that reduce the reliability of the decision that needs to be improved and highlighted. In this study, Elimination and Choice Expressing Reality (ELECTRE) NI (Net Inferior), NS (Net Superior), Technique for Order Preference by Similarity to

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Al-Jawad and Kalin. "Assessment of Water Resources Management Strategy under Different Evolutionary Optimization Techniques." Water 11, no. 10 (2019): 2021. http://dx.doi.org/10.3390/w11102021.

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Competitive optimization techniques have been developed to address the complexity of integrated water resources management (IWRM) modelling; however, model adaptation due to changing environments is still a challenge. In this paper we employ multi-variable techniques to increase confidence in model-driven decision-making scenarios. Here, water reservoir management was assessed using two evolutionary algorithm (EA) techniques, the epsilon-dominance-driven self-adaptive evolutionary algorithm (-DSEA) and the Borg multi-objective evolutionary algorithm (MOEA). Many objective scenarios were evalua

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Luo, Juandan. "Integration of Conditional Value-at-Risk (CVaR) in Multi-Objective Optimization." Transactions on Engineering and Technology Research 3 (September 13, 2024): 92–97. http://dx.doi.org/10.62051/hb75mv91.

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This paper explores the integration of Conditional Value-at-Risk (CVaR) into the field of Multi-Objective Optimization (MOO), offering insights into its mathematical basis, significance in risk assessment, and application in complex decision-making scenarios. It discusses the challenges of MOO, presents traditional solution methods, and examines the advantages and limitations of CVaR. The article highlights the flexibility of CVaR as an objective function, particularly in financial portfolio optimization, and discusses future research directions for enhancing its computational techniques, expa

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Jyothi, Rangappa, and Gorappa Ningappa Krishnamurthy. "Deep-Reinforcement Learning-Based Architecture for Multi-Objective Optimization of Stock Prediction." European Journal of Electrical Engineering and Computer Science 6, no. 4 (2022): 9–16. http://dx.doi.org/10.24018/ejece.2022.6.4.436.

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Artificial Intelligence has been established to predict the future performance of the trading in modern era including Statistics, Computer Science, and economics, especially the stack market. By analyzing the big data, making the financial decision is important for investors in the stock market. As records, several techniques like Back Propagation Neural Network (BPNN) Recurrent Neural Network (RNN) are used to predict the stock price but due to its computation complexity is major challenging of time serious financial data in the decision-making process. In this paper, we have proposed the Rec

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Monat, Jamie P. "The benefits of global scaling in multi-criteria decision analysis." Judgment and Decision Making 4, no. 6 (2009): 492–508. http://dx.doi.org/10.1017/s1930297500004034.

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AbstractWhen there are multiple competing objectives in a decision-making process, Multi-Attribute Choice scoring models are excellent tools, permitting the incorporation of both subjective and objective attributes. However, their accuracy depends upon the subjective techniques used to construct the attribute scales and their concomitant weights. Conventional techniques using local scales tend to overemphasize small differences in attribute measures, which may yield erroneous conclusions. The Range Sensitivity Principle (RSP) is often invoked to adjust attribute weights when local scales are u

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Bisht, Garima, and Arun Kumar. "A Hybrid Interactive Decision-making Model Based on Multi-objective Optimization: An Application to Sustainable Supplier Selection." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 32, no. 06 (2024): 889–922. http://dx.doi.org/10.1142/s0218488524500223.

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Sustainable development is crucial for conserving resources and ensuring smooth supply chain operations. In the context of the complex task of supplier selection, the traditional assumptions of attribute independencies are frequently found to be inadequate. The effective interaction between attributes and their weights plays a crucial role in navigating the decision outcomes. This paper presents a Choquet integral-based hybrid interactive decision-making approach to address the two important issues regarding the weights and interaction of criteria. To achieve this aim, first a hybrid weight de

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A., Venkatesh, and Sivakumar G. "ON FUZZY DECISION MAKING MODELING IN DIAGNOSING EYE DISEASES BASED ON FEEDBACK EXTENSION." International Journal of Advanced Trends in Engineering and Technology 2, no. 2 (2017): 138–40. https://doi.org/10.5281/zenodo.1037334.

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Diagnosis of eye disorders is initially based on the person's symptoms, the appearance of the eyes, and the results of an examination. Sometimes eye symptoms develop as part of an illness that affects several organ systems. In this paper, fuzzy decision making techniques based on feedback extension is used, to evolve a diagnostic technique for diagnosing patient with complaints in eye sight.

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Mhlanga, Sandile Thamie, and Manoj Lall. "Influence of Normalization Techniques on Multi-criteria Decision-making Methods." Journal of Physics: Conference Series 2224, no. 1 (2022): 012076. http://dx.doi.org/10.1088/1742-6596/2224/1/012076.

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Abstract One of the most significant steps in solving multi criteria decision-making (MCDM) problems is the normalization of the decision matrix. The consideration for the normalization of the data in a judgment matrix is an essential step as it can influence the ranking list. This study investigates the effects of normalization on an AHP-VIKOR hybrid method in the selection of Web services. The Web services considered in this research offer similar functionalities but with different Quality of Services (QoS). For the purpose of this study, ten web services were selected. Each of these service

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Arunachalam, Adhithya Plato Sidharth, Sridhar Idapalapati, and Sathyan Subbiah. "Multi-criteria decision making techniques for compliant polishing tool selection." International Journal of Advanced Manufacturing Technology 79, no. 1-4 (2015): 519–30. http://dx.doi.org/10.1007/s00170-015-6822-y.

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Zahedi, Sina, Ali Azarnivand, and Nastaran Chitsaz. "Groundwater quality classification derivation using Multi-Criteria-Decision-Making techniques." Ecological Indicators 78 (July 2017): 243–52. http://dx.doi.org/10.1016/j.ecolind.2017.03.015.

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Ozsahin, Ilker, Samuel Abebe, and Greta Mok. "A multi-criteria decision-making approach for schizophrenia treatment techniques." Archives of Psychiatry and Psychotherapy 22, no. 2 (2020): 52–61. http://dx.doi.org/10.12740/app/111624.

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