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Journal articles on the topic 'Method of multicriteria classification'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Silva, Maisa M., Ana Paula H. de Gusmão, and Ana Paula C. S. Costa. "An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles." Mathematical Problems in Engineering 2019 (May 5, 2019): 1–14. http://dx.doi.org/10.1155/2019/4078909.

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In recent years, nominal classification problems have gained importance, especially in the context of strategic management of organizations. In this sense, this paper presents a novel multicriteria nominal classification method, derived from the concepts of PROMETHEE, applied to use in problems characterized by minimum performance profiles (MMP) for the classes. The main advantages of this proposal are criterion and alternative flexibility for classes; robustness, because it uses the concepts of a well-known method (PROMETHEE); and usefulness, because many real situations are characterized by

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Todeschini, R., and E. Marengo. "Linear discriminant classification tree: A user-driven multicriteria classification method." Chemometrics and Intelligent Laboratory Systems 16, no. 1 (1992): 25–35. http://dx.doi.org/10.1016/0169-7439(92)80075-f.

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Costa, David, Daniel Augusto de Moura Pereira, Andrei Bonamigo, Marcos Santos, and Cleyton Mário De Oliveira Rodrigues. "SAPEVO-BSC Multicriteria Method." World Journal of Information Systems 1, no. 3 (2024): 25–37. https://doi.org/10.17013/wjis.v1i3.17.

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Strategic management is a fundamental process for global companies that wish to remain competitive in an increasingly dynamic and complex market. However, relying solely on the Balanced Scorecard may not be enough to guarantee your success. Companies must prioritize strategic projects, aligned with the business vision, that contribute to achieving established goals and objectives. In this context, this new proposal, SAPEVO-BSC, for the ranking problem, combined SAPEVO-M in its algorithm to indicate the degree of relevance between the different perspectives of the BSC, the strategic objectives

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Belacel, Nabil, Hiral Bhasker Raval, and Abraham P. Punnen. "Learning multicriteria fuzzy classification method PROAFTN from data." Computers & Operations Research 34, no. 7 (2007): 1885–98. http://dx.doi.org/10.1016/j.cor.2005.07.019.

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Barrera, Felipe, Marina Segura, and Concepción Maroto. "A Multicriteria Customer Classification Method in Supply Chain Management." Mathematics 12, no. 21 (2024): 3427. http://dx.doi.org/10.3390/math12213427.

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Since Kraljic’s strategic matrix was applied to supply chain management, classification of items, suppliers, and customers has become of increasing interest to research and companies. The aim of this research is to develop an easily interpretable multicriteria classification matrix method and validate it in real-world scenarios with a robustness analysis. This method assigns alternatives to one of four classes defined by critical dimensions that integrate several evaluation criteria. Initially, a global search pre-classifies the alternatives using the PROMETHEE net flows. Then, two local searc

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Liang, Liang, Ren Yan Jiang, and Yin Liang. "A Multicriteria Decision Method with Uncertain Information in Financial Credit Loan Decision-Making." Applied Mechanics and Materials 52-54 (March 2011): 1868–72. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1868.

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It is difficult to obtain the correct criteria weights with uncertain information in the multicriteria decision-making. Many methods depend on the subjective estimate. Therefore, a method is presented to evaluate the samples ranking only need the importance order of criteria. It evaluates firstly the overall ranking scores of samples based on the graphical classification and multicriteria hierarchical integrated methods. Subsequently, the relation model between the criteria scores and overall ranking scores of samples is built by linear regression. Finally, a fincial credit loan decision-makin

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Khoder, Mahdi, Serge Kashana, Jihan Khoder, and Rafic Younes. "Multicriteria classification method for dimensionality reduction adapted to hyperspectral images." Journal of Applied Remote Sensing 11, no. 2 (2017): 025001. http://dx.doi.org/10.1117/1.jrs.11.025001.

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Wang, Xiao-yi, Yi Yang, Yu-ting Bai, Jia-bin Yu, Zhi-yao Zhao, and Xue-bo Jin. "Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making." Complexity 2020 (August 17, 2020): 1–10. http://dx.doi.org/10.1155/2020/8147617.

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The expert is a vital role in multicriteria decision-making, which provides source decision opinions. In the existing group decision-making activities, the selection of experts is usually conducted artificially, which relies on personal subjective experience. It has been the urgent demand for an automatic selection of experts, which can help to determine their weights for the follow-up decision calculation. In this paper, an expert classification method is proposed to solve the problem. First, the CatBoost classification algorithm is improved by integrating the 2-tuple linguistic, which can ef

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Zopounidis, Constantin, and Michael Doumpos. "Multicriteria classification and sorting methods: A literature review." European Journal of Operational Research 138, no. 2 (2002): 229–46. http://dx.doi.org/10.1016/s0377-2217(01)00243-0.

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Kefer, Petar, Dragan D. Milanovic, Mirjana Misita, and Aleksandar Zunjic. "Fuzzy Multicriteria ABC Supplier Classification in Global Supply Chain." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/9139483.

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The determination of the optimal purchasing strategy in enterprise that is a part of global supply chain could be performed in two steps. In step one, a classification of potential suppliers is performed in order to determine the optimal portfolio of suppliers. This is delivered by using the fuzzy multicriteria proposed ABC classification method. Uncertainties in relative importance of criteria and their values are described by linguistic expressions. Modelling of linguistic expressions is based on the fuzzy sets theory. In the second step, ranking of optimal portfolio of suppliers is performe

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Costa, Ana Sara, Salvatore Corrente, Salvatore Greco, José Rui Figueira, and José Borbinha. "A robust hierarchical nominal multicriteria classification method based on similarity and dissimilarity." European Journal of Operational Research 286, no. 3 (2020): 986–1001. http://dx.doi.org/10.1016/j.ejor.2020.04.021.

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Iqbal, Qamar, Don Malzahn, and Lawrence E. Whitman. "Selecting a Multicriteria Inventory Classification Model to Improve Customer Order Fill Rate." Advances in Decision Sciences 2017 (April 5, 2017): 1–11. http://dx.doi.org/10.1155/2017/5028919.

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Multicriteria models have been proposed for inventory classification in previous studies. However, it is important to make a decision when a particular multicriteria inventory classification model should be preferred over other models and also if the highest performing model remains the highest performing at all times. Companies always look for ways to improve customer order fulfillment process. This paper shows how better inventory classification can improve customer order fill rate in variable settings. The method to compare the inventory classification models with regard to improving custom

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Salukvadze, M., N. Jibladze, V. Maisuradze, and A. Topchishvili. "Methods and algorithms for solving multicriteria problems – classification approach." Model Assisted Statistics and Applications 2, no. 4 (2008): 239–51. http://dx.doi.org/10.3233/mas-2007-2406.

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Liu, Fan, and Ning Ma. "Multicriteria ABC Inventory Classification Using the Social Choice Theory." Sustainability 12, no. 1 (2019): 182. http://dx.doi.org/10.3390/su12010182.

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The multicriteria ABC inventory classification has been widely adopted by organizations for the purpose of specifying, monitoring, and controlling inventory efficiently. It categorizes the items into three groups based on some certain criteria, such as inventory cost, part criticality, lead time, and commonality. There has been extensive research on such a problem, but few have considered that the judgments about criteria’s importance order usually exhibit a substantial degree of variability. In light of this, we propose a new methodology for handling the multicriteria ABC inventory classifica

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Bonilla Solís, Irvin David, Luis Asunción Pérez-Domínguez, Rosa Patricia Ramírez Delgado, and Marling Carolina Cordero Díaz. "Web Application Development for TODIM Method Automation and Alternatives Evaluation." Data and Metadata 4 (October 23, 2024): 492. http://dx.doi.org/10.56294/dm2025492.

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The TODIM method (Tomada de Decisao Interativa Multicriterio), which in Portuguese means “Interactive and Multicriteria Decision Making”, is a process of evaluation alternatives, with various academic and professional uses. The current project focuses on the first approach, considering students, professors and investigators as the main beneficiaries and target audience. There is a shortage of software that automate the TODIM method, therefore it is proposed to develop a web application mainly using Python, HTML and JavaScript programming languages that can satisfy this necessity. To guarantee

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Perić, Tunjo, and Željko Mandić. "MULTI-CRITERIA PROGRAMMING METHODS AND PRODUCTION PLAN OPTIMIZATION PROBLEM SOLVING IN METAL INDUSTRY." Journal Human Research in Rehabilitation 7, no. 2 (2017): 59–66. http://dx.doi.org/10.21554/hrr.091707.

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This paper presents the production plan optimization in the metal industry considered as a multi-criteria programming problem. We first provided the definition of the multi-criteria programming problem and classification of the multicriteria programming methods. Then we applied two multi-criteria programming methods (the STEM method and the PROMETHEE method) in solving a problem of multi-criteria optimization production plan in a company from the metal industry. The obtained results indicate a high efficiency of the applied methods in solving the problem.

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Sepulveda, Juan M., and Ivan S. Derpich. "Multicriteria Supplier Classification for DSS: Comparative Analysis of Two Methods." International Journal of Computers Communications & Control 10, no. 2 (2015): 238. http://dx.doi.org/10.15837/ijccc.2015.2.1755.

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Ulucan, Aydin, and Kazim Baris Atici. "A MULTIPLE CRITERIA SORTING METHODOLOGY WITH MULTIPLE CLASSIFI CATION CRITERIA AND AN APPLICATION TO COUNTRY RISK EVALUATION." Technological and Economic Development of Economy 19, no. 1 (2013): 93–124. http://dx.doi.org/10.3846/20294913.2012.763070.

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In this paper, we propose an extension of the standard UTADIS methodology, an approach that originates from multicriteria decision aid (MCDA) for sorting problems, such that it can handle more than one classification criteria simultaneously which possibly involves different predefined classes for alternatives. Moreover, we test the classification ability of the standard UTADIS methodology using the out-of-classification criterion approach, a new variant of the studies comprising out-of-time and out-of-sample testing methodologies. Results obtained in out-of-classification criterion testing are

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Freitas, Antonio Luiz Freitas, Murilo Alves de Albuquerque Damasceno, Cristiany Raab de Souza, Joana Karolyni Cabral Peixoto, Thomas Edson Espíndola Gonçalo, and Eric Amaral Ferreira. "GIS Multicriteria decision making model for traffic accidents management." Revista Produção e Desenvolvimento 8, no. 1 (2022): e613. http://dx.doi.org/10.32358/rpd.2022.v8.613.

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Objective: this study suggests a multicriteria model for decision-making assistance that, by using spatial representation, can provide decision aid for the traffic management process in a county, hence facilitating improved decision-making. The decision-making process can be supported by multicriteria decision aid technologies and geographic information systems (GIS). Methodology/Approach: A multicriteria decision-making model is developed to categorize the city's roads according to their importance to the population's safety. For classification, the PROMSORT method (PROMETHEE Sorting) is prop

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Kochkarov, Rasul. "Multicriteria Optimization Problem on Prefractal Graph." Mathematics 10, no. 6 (2022): 930. http://dx.doi.org/10.3390/math10060930.

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Even among single-criteria discrete problems, there are NP-hard ones. Multicriteria problems on graphs in many cases become intractable. Currently, priority is given to the study of applied multicriteria problems with specific criteria; there is no classification of criteria according to their type and content. There are few studies with fuzzy criteria, both weight and topological. Little attention is paid to the stability of solutions, and this is necessary when modeling real processes due to their dynamism. It is also necessary to study the behavior of solution sets for various general and i

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Kaabi, Hadhami, Khaled Jabeur, and Talel Ladhari. "A Genetic Algorithm-Based Classification Approach for Multicriteria ABC Analysis." International Journal of Information Technology & Decision Making 17, no. 06 (2018): 1805–37. http://dx.doi.org/10.1142/s0219622018500475.

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ABC analysis is a widespread classification technique designed to manage inventory items in an effective way by relaxing controls on low valued items and applying more rigorous controls on high valued items. In the literature, many classification models issued from different methodologies such as Mathematical Programming (MP), Metaheuristics, Artificial Intelligence (AI) and Multicriteria Decision Making (MCDM) are proposed to perform the ABC inventory classification. To the best of our knowledge, the cross-fertilization of classification models issued from different methodologies is rarely ta

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Tarapata, Zbigniew. "Selected Multicriteria Shortest Path Problems: An Analysis of Complexity, Models and Adaptation of Standard Algorithms." International Journal of Applied Mathematics and Computer Science 17, no. 2 (2007): 269–87. http://dx.doi.org/10.2478/v10006-007-0023-2.

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Selected Multicriteria Shortest Path Problems: An Analysis of Complexity, Models and Adaptation of Standard AlgorithmsThe paper presents selected multicriteria (multiobjective) approaches to shortest path problems. A classification of multi-objective shortest path (MOSP) problems is given. Different models of MOSP problems are discussed in detail. Methods of solving the formulated optimization problems are presented. An analysis of the complexity of the presented methods and ways of adapting of classical algorithms for solving multiobjective shortest path problems are described. A comparison o

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Pliego-Martínez, Odette, Alicia Martínez-Rebollar, Hugo Estrada-Esquivel, and Ernesto de la Cruz-Nicolás. "An Integrated Attribute-Weighting Method Based on PCA and Entropy: Case of Study Marginalized Areas in a City." Applied Sciences 14, no. 5 (2024): 2016. http://dx.doi.org/10.3390/app14052016.

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The precise allocation of weights to criteria plays a fundamental role in multicriteria decision-making, exerting a significant influence on the obtained results. Ensuring an appropriate weighting of criteria is crucial for conducting a fair and accurate evaluation of various alternatives. In this context, we present an innovative solution that addresses the allocation of weights to attributes in datasets, aiming to overcome limitations and challenges associated with expert consultation in multicriteria problems. The proposed method is grounded in an objective approach and adopts a hybrid pers

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Hatefi, S. M., and S. A. Torabi. "A Common Weight Linear Optimization Approach for Multicriteria ABC Inventory Classification." Advances in Decision Sciences 2015 (January 1, 2015): 1–11. http://dx.doi.org/10.1155/2015/645746.

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Organizations typically employ the ABC inventory classification technique to have an efficient control on a huge amount of inventory items. The ABC inventory classification problem is classification of a large amount of items into three groups: A, very important; B, moderately important; and C, relatively unimportant. The traditional ABC classification only accounts for one criterion, namely, the annual dollar usage of the items. But, there are other important criteria in real world which strongly affect the ABC classification. This paper proposes a novel methodology based on a common weight l

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Costa, Jefferson, and Maisa Silva. "Multicriteria Decision-Making in Public Security: A Systematic Review." Mathematics 12, no. 11 (2024): 1754. http://dx.doi.org/10.3390/math12111754.

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The Multiple Criteria Decision-Making/Analysis (MCDM/A) methods have been widely used in several management contexts. In public security, their use enhances managerial decision-making by considering the decision-maker’s preference structure and providing a multidimensional view of problems. However, methodological support for their applications in this field lacks clarity, including selecting appropriate methods, addressing pertinent problematics, and identifying alternatives and criteria. To address this gap, this article conducts a Systematic Literature Review (SLR) to diagnose the state of

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Hu, Yi-Chung, and Hsiao-Chi Chen. "Integrating multicriteria PROMETHEE II method into a single-layer perceptron for two-class pattern classification." Neural Computing and Applications 20, no. 8 (2010): 1263–71. http://dx.doi.org/10.1007/s00521-010-0424-2.

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Henrique dos Santos, Hugo, Vitor Natã Marques, and Luiz Felipe Ferreira Paschoali. "The analysis of barriers for implementing circular economy practices using the Analytic Hierarchy Process (AHP)." Revista Gestão da Produção Operações e Sistemas 16, no. 03 (2021): 99–118. http://dx.doi.org/10.15675/gepros.v16i3.2793.

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Purpose – This paper aims to identify and classify the main barriers for adopting circular economy practices using the Analytic Hierarchy Process (AHP) method for prioritization. The proposed methodology evaluates the importance of different classes of barriers for adopting circular economy practices in a food company and metalworking company. Theoretical framework – This study was based on the current theory of barriers to adopt circular economy practices and multicriteria decision-making. Design/methodology/approach – The Analytic Hierarchy Process (AHP) method was used to assess and priorit

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Lipshitz, G., and B. H. Massam. "Classification of Development Towns in Israel by Using Multicriteria Decision Aid Techniques." Environment and Planning A: Economy and Space 30, no. 7 (1998): 1279–94. http://dx.doi.org/10.1068/a301279.

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In research on regional development little attention is devoted to socioeconomic distinctions within peripheral and core regions, rather than disparities between regions. This approach is evidently shared by policymakers, who tend to formulate regional development policies without taking account of existing socioeconomic differences within the regions. Development policy for Israel's national peripheries is a salient example of a homogeneous development policy. The findings of the present study point to the need to reconsider regional development by placing the main emphasis on the fashioning

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Alluhaibi, Reyadh, Nawaf Alharbe, Abeer Aljohani, and Rabia Emhmed Al Mamlook. "Selection of an Efficient Classification Algorithm for Ambient Assisted Living: Supportive Care for Elderly People." Healthcare 11, no. 2 (2023): 256. http://dx.doi.org/10.3390/healthcare11020256.

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Ambient Assisted Living (AAL) is a medical surveillance system comprised of connected devices, healthcare sensor systems, wireless communications, computer hardware, and software implementations. AAL could be used for an extensive variety of purposes, comprising preventing, healing, as well as improving the health and wellness of elderly individuals. AAL intends to ensure the wellbeing of elderly persons while also spanning the number of years seniors can remain independent in their preferred surroundings. It also decreases the quantity of family caregivers by giving patients control over thei

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Tamošiūnienė, Rima, Skirmantas Šidlauskas, and Ingrida Trumpaitė. "The Multicriterial Evaluation Method of the Effectiveness of the Investment Projects." Business: Theory and Practice 7, no. (4) (2006): 203–12. https://doi.org/10.3846/btp.2006.25.

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A large number of economic, financial, social, technological, ecological – environmental and other indicators define the effectiveness of the investment projects. According to some of the indicators, the alternative investment project is suitable for putting it into practice, according to others, it is not. Therefore, while evaluating the investment projects (e.g. the projects which are financed by EU structural funds) it becomes difficult to choose the most effective projects whose realization would bring the most significant benefit to the economy subject and to our country. It is possible t

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Ameljańczyk, Andrzej, and Maciej Kiedrowicz. "Multicriteria methods for identifying patterns in the analysis of the flow of “dangerous financial documents”." MATEC Web of Conferences 210 (2018): 04010. http://dx.doi.org/10.1051/matecconf/201821004010.

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The article outlines a concept of applying the methodology for identifying patterns used for detecting documents suggesting the execution of some criminal financial transactions. The analogies of diagnostic processes for disease classification in medicine were used in the method. The idea of the described method consists in defining model patterns of financial documents, suggesting criminal activity in the form of the financial flow and developing mathematical models of actual financial documents which shall be used for the comparisons with the patterns at a later stage of the process. The nex

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Johnson, Sindhu R., Raymond P. Naden, Jaap Fransen, et al. "Multicriteria decision analysis methods with 1000Minds for developing systemic sclerosis classification criteria." Journal of Clinical Epidemiology 67, no. 6 (2014): 706–14. http://dx.doi.org/10.1016/j.jclinepi.2013.12.009.

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Ustinovičius, Leonas, and Dmitry Kochin. "VERBAL ANALYSIS OF THE INVESTMENT RISK IN CONSTRUCTION." Journal of Business Economics and Management 4, no. 4 (2003): 228–34. http://dx.doi.org/10.3846/16111699.2003.9636060.

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Obtaining of reliable enough estimations of investment quality is a complex task, since there is no universal indicator of capital recovery probability. Classification is a very important aspect in decision making. This means the prescription of projects to the particular classes. Very often it is stated that classes in decision making are determined by the particular parameters, i.e. the efficiency of technical and technological decisions, credit value determination of the project, etc. This article presents a verbal method of determining investment risk in construction. The problem under con

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Diti, Irene, Daniele Torreggiani, and Patrizia Tassinari. "Rural landscape and cultural routes: a multicriteria spatial classification method tested on an Italian case study." Journal of Agricultural Engineering 46, no. 1 (2015): 23. http://dx.doi.org/10.4081/jae.2015.451.

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Europe is characterised by a rich net of itineraries that during the Middle Ages were taken by pilgrims head toward the holy places of Christianity. In Italy the main pilgrimage route is the <em>Via Francigena</em> (t<em>he road that comes from France</em>), which starts from Canterbury and arrives in Rome, running through Europe for about 1800 km. Municipalities and local associations are focused on purposes and actions aimed at the promotion of those routes, rich in history and spirituality. Also for the European Union the enhancement of those itineraries, nowadays us

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Fodor, Dimitrie-Cristian, and Neculai-Eugen Seghedin. "Technical Progress in Limb Prostheses: A Classification of Existing Devices." Bulletin of the Polytechnic Institute of Iași. Machine constructions Section 68, no. 3 (2022): 31–40. http://dx.doi.org/10.2478/bipcm-2022-0023.

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Abstract The technical evolution of the prosthetic field is swift and the technical solutions for the limb prostheses are found in a vast number of the specialized literature, therefore for good information management, a generalized classification of the field is necessary. Based on the use of the idea diagram method, a multicriteria classification of the lower and upper limb prostheses was performed. The classification was made according to the levels of limb amputation, the way of attaching prosthetic devices to the patient, the generations of technological performance adopted over time, the

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Li, Hong, Guo Yin Wang, Guang Lei Gou, and Wen Liu. "Boundary Variable Precision Dominance-Based Rough Set Approach in Multicriteria Sorting Problems." Advanced Materials Research 734-737 (August 2013): 3102–6. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.3102.

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This paper provides a novel method of boundary variable precision dominance-based rough set approach (BVP-DRSA) to solve multicriteria sorting problem that differs from usual classification problems since it takes into account preference orders in the description of objects by condition and decision attributes. The major contribution of our BVP-DRSA method is that it combines variable precision and dominance-based rough set approach (DRSA). This approach is different from the dominance-based rough set approach (DRSA) because it takes boundary into account and can deal with boundary directly. C

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Lee, Kuo-Liang, and Shu-Chen Lin. "An empirical study on assessing optimal type of distribution park: Applying fuzzy multicriteria Q-analysis method." Yugoslav Journal of Operations Research 22, no. 1 (2012): 79–96. http://dx.doi.org/10.2298/yjor101212001l.

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In this paper, through an empirical study it is explored how respondents viewed suitable modes on locations for developing a distribution park. A fuzzy multiple criteria Q-analysis (MCQA) method is used to empirically evaluate location development for suitable types of international distribution park. The fuzzy MCQA method integrates MCQA, a fuzzy measure method and a fuzzy grade classification method. This improves the constraints evaluated by decision-makers, resulting in an explicit result value for each criterion to be evaluated, greatly decreasing the complexity of the evaluation process

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Liu, Jiajun, Chenjing Li, Yue Liu, Ji Sun, and Haokun Lin. "Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform." Sensors 23, no. 21 (2023): 8948. http://dx.doi.org/10.3390/s23218948.

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The further identification of fault types for single line-to-ground faults (SLGFs) in distribution networks is conducive to determining the cause of grounding faults and formulating targeted measures for hidden danger treatment and fault prevention. For the six types of SLGFs generated in the actual power grid, this paper deeply studies their fault characteristics. Firstly, the classification criterion of fault transition resistance is derived by the generation mechanism of fault zero sequence voltage (ZSV). At the same time, by comparing and analyzing the same and different characteristics be

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Solares, Efraín, Victor De-León-Gómez, Eduardo Fernández, Emmanuel Contreras-Medina, and Orlando Lopez. "Multicriteria ordinal classification to improve strategic planning in the financial sector of the company." International Journal of Combinatorial Optimization Problems and Informatics 13, no. 2 (2022): 47–57. https://doi.org/10.61467/2007.1558.2022.v13i2.270.

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Globalization has changed the way companies do business in the world, always with the objective of having a greater presence in more countries through company purchases, strategic alliances, company acquisitions, investment projects. Companies also need to support decision-making to generate a strategy that considers the demands of consumers, the strategies of companies to consolidate their presence. The purpose of this study is to propose a system for decision making in presence of multiple criteria, to facilitate the generation of efficient strategic planning in the economic area of the comp

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Mehea, Marek, Slavomíra Staaková, Adela Feranecová, and Veronika Ragániová. "Selecting the savings account in the Slovak Republic." Problems and Perspectives in Management 14, no. 4 (2016): 8–16. http://dx.doi.org/10.21511/ppm.14(4).2016.01.

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There are currently many investment and financial products that can be used for capitalizing of savings. Although investments in various commodities, shares, securities, or funds can be with high yields, it requires some knowledge and experience. Unattempted investor may experience unpleasant surprise of possible losses of greater amount of money, as such investments are generally associated with a higher risk. For these reasons, the majority of the population remains in the Slovak Republic faithful to traditional forms of capitalizing of funds. One of these forms are savings accounts in banks

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Deng, Weibin, Changlin Xu, Jin Liu, and Feng Hu. "A Novel Distance between Vague Sets and Its Applications in Decision Making." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/281095.

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A novel distance between vague sets (VSs) is presented after the inadequacies of existing distance measures between vague sets are analyzed by artificial vague sets. The proposed method investigates the assignment of degree of hesitation to the membership and nonmembership degree, and the properties are also discussed. The performances of the new method are illustrated by pattern classification problem. Finally, the proposed method is applied into multicriteria fuzzy decision making, where the linear programming method is taken to generate optimal weights for every criterion and the best alter

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RIGOPOULOS, GEORGE, and KOSTAS ANAGNOSTOPOULOS. "FUZZY MULTICRITERIA ASSIGNMENT FOR NOMINAL CLASSIFICATION: METHODOLOGY AND APPLICATION IN EVALUATION OF GREEK BANK'S ELECTRONIC PAYMENT RETAILERS." International Journal of Information Technology & Decision Making 09, no. 03 (2010): 437–54. http://dx.doi.org/10.1142/s0219622010003890.

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This paper presents a novel multicriteria procedure for nominal classification problems. Assignment of an action to a category is based on the comparison between action and category's least typical representative, which is considered as the category inclusion threshold. Evaluation is executed considering performance on evaluation criteria and calculation of a fuzzy inclusion relation for every action, generalizing preference relations model with concordance and nondiscordance concepts as used in ELECTRE methods. An application to a classification problem in banking is also presented in order t

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B., Kengne, P. Ndibi Mbozo'o M., Nzie W., Tcheukam-Toko D., and Ahmed Ali. "Performance Multicriteria Optimization of Locally Fabricated Hammer Mill using Population Balance Model." Asian Journal of Applied Science and Technology (AJAST) 7, no. 3 (2023): 75–99. https://doi.org/10.38177/ajast.2023.7308.

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High energy consumption and better prediction of the particle size distribution of outgoing particles in grinding operations are very important issues for manufacturers, so processes need to be optimized to reduce energy consumption and achieve the desired product quality. The optimum grinding parameters for a locally-produced hammer mill for maize kernels were thus determined, so that the equipment could operate under optimum conditions, with low energy consumption, while guaranteeing the quality of the ground kernels. The population balance model (PBM) was used to model the particle size dis

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Jurišić, Mladen, Ivan Plaščak, Oleg Antonić, and Dorijan Radočaj. "Suitability Calculation for Red Spicy Pepper Cultivation (Capsicum annum L.) Using Hybrid GIS-Based Multicriteria Analysis." Agronomy 10, no. 1 (2019): 3. http://dx.doi.org/10.3390/agronomy10010003.

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Red spicy pepper is traditionally considered as the fundamental ingredient for multiple authentic products of Eastern Croatia. The objectives of this study were to: (1) evaluate the optimal interpolation method necessary for modeling of criteria layers; (2) calculate the sustainability and vulnerability of red spicy pepper cultivation using hybrid Geographic Information System (GIS)-based multicriteria analysis with the analytical hierarchy process (AHP) method; (3) determine the suitability classes for red spicy pepper cultivation using K-means unsupervised classification. The inverse distanc

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Hoang, Lich, Cao Tan, Le My, and Dung Nguyen. "Taxation and economic growth: A regression analysis based on a new classification." Ekonomski horizonti 23, no. 3 (2021): 215–29. http://dx.doi.org/10.5937/ekonhor2103225h.

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This paper examines the impact of taxes on the economic growth based on classifying countries by GDP per capita and a tax burden. The Partitioning Around Medoids (PAM) technique is used because it is not too sensitive to outliers. Through this multicriteria classification technique, the Generalized Method of Moments (GMM) is employed to analyze the data of the three groups consisting of 63 countries from 2003 to 2017. The results show that most taxes have a positive impact on economic growth in poor countries (Group 1). Interestingly, taxes on goods and services promote economic growth in rich

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PENG, YI, GANG KOU, GUOXUN WANG, WENSHUAI WU, and YONG SHI. "ENSEMBLE OF SOFTWARE DEFECT PREDICTORS: AN AHP-BASED EVALUATION METHOD." International Journal of Information Technology & Decision Making 10, no. 01 (2011): 187–206. http://dx.doi.org/10.1142/s0219622011004282.

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Classification algorithms that help to identify software defects or faults play a crucial role in software risk management. Experimental results have shown that ensemble of classifiers are often more accurate and robust to the effects of noisy data, and achieve lower average error rate than any of the constituent classifiers. However, inconsistencies exist in different studies and the performances of learning algorithms may vary using different performance measures and under different circumstances. Therefore, more research is needed to evaluate the performance of ensemble algorithms in softwa

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Doumpos, M., Y. Marinakis, M. Marinaki, and C. Zopounidis. "An evolutionary approach to construction of outranking models for multicriteria classification: The case of the ELECTRE TRI method." European Journal of Operational Research 199, no. 2 (2009): 496–505. http://dx.doi.org/10.1016/j.ejor.2008.11.035.

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Figueiredo, Ciro José Jardim de, and Caroline Maria de Miranda Mota. "A Classification Model to Evaluate the Security Level in a City Based on GIS-MCDA." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/3534824.

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The aim of this paper is to map the most favorable locations for the occurrence of robberies in the Brazilian city through the multicriteria method Dominance-Based Rough Set Approach. Considering the city divisions with alternatives and evaluating by several spatial criteria, a decision-maker is building a preference model with based previous knowledge. Next, decision rules induced from preference information are introduced to the spatial environment to get the results. The decision rules can be seen as conditional part (represented by criteria) and decision part (assignment to decision classe

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Fernandes, Ciro Henrique de Araújo, Lucio Camara e. Silva, Patricia Guarnieri, and Bárbara de Oliveira Vieira. "Multicriteria Model Proposition to Support the Management of Systems of E-Waste Collection." Logistics 5, no. 3 (2021): 60. http://dx.doi.org/10.3390/logistics5030060.

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Background: Considering the global concern in balancing economic growth with environmental sustainability, the study proposes a model to support multicriteria decision-making. From the systematic literature review and bibliometric analysis, there was an increasing trend in studies on electronic waste due to governments, stakeholders, and the population to better address the management of this waste; Methods: We propose a decision model considering some aspects and phases that help from collecting information to support decision making, based on the FITradeoff ordering method, to support policy

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Atiqah Rochin Demong, Nur, Jie Lu, and Farookh Khadeer Hussain. "An Adaptive Personalized Property Investment Risk Analysis Method Based on Data-Driven Approach." International Journal of Information Technology & Decision Making 20, no. 02 (2021): 671–706. http://dx.doi.org/10.1142/s0219622021500115.

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Risk assessment analysis for investment decisions largely depends on expert judgment using traditional approaches and is lacking in considering investors’ different preferences and limitations. This paper proposes an adaptive personalized property investment risk analysis (APPIRA) method to identify the property investment determinants using a data-driven and personalized approach to weight the risk factors using the multicriteria decision model for optimal solutions. Result for predictive modeling using value prediction technique that measures the median house price depicts that the best meth

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