Relevant bibliographies by topics / The distance and the Kemeny median

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'The distance and the Kemeny median'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "The distance and the Kemeny median"

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Nikitin, B. E., M. N. Ivliev, K. V. Chekudaev, E. S. Akatov, Y. V. Bugaev, and I. I. Vorona. "The organizations management multi-criteria objects aggregate rating construction." Proceedings of the Voronezh State University of Engineering Technologies 83, no. 2 (2021): 251–58. http://dx.doi.org/10.20914/2310-1202-2021-2-251-258.

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The article deals with the higher education institutions national aggregate rating constructing problem. This task is relevant in terms of improving management processes in educational organizations. This problem is formulated as a collective choice problem. Proposed to use voting in small groups as aggregation procedures, which satisfies the Condorcet principle. Three collective choice rules description is given in the paper. Obtained on the Bord, Copeland and Kemeny basis procedure salternatives final orderings stability is illustrated by concrete examples. The empirical mean is considered a
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Khubaev, G. "Methods of forming the agreed collective choice in the expertise process (on an example of ranking methods of solving complex problems)." Bulletin of Science and Practice, no. 7 (July 15, 2017): 59–77. https://doi.org/10.5281/zenodo.826483.

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The methods of forming a collective choice in the ordering of expert solutions to complex problems. It is shown that the use of methods increases the reliability of the evaluation. Experts: don’t know who participated in the survey; do not know who decided which; don't know who and what gave the rationale for the decision and may not know about the true purpose of the organizers of the expert survey. At the same time experts can justify their answers and receive as a result of simulation of the statistical characteristics of the search target.
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Can, Burak, and Ton Storcken. "A re-characterization of the Kemeny distance." Journal of Mathematical Economics 79 (December 2018): 112–16. http://dx.doi.org/10.1016/j.jmateco.2018.04.007.

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Kalach, A. V., Yu V. Bugaev, and B. E. Nikitin. "METHODS OF SEARCHING FOR THE KEMENY MEDIAN FOR NON-STRICT AND PARTIAL ORDERINGS OF ALTERNATIVES." Bulletin of the South Ural State University series "Mathematics. Mechanics. Physics" 16, no. 1 (2024): 13–22. https://doi.org/10.14529/mmph240102.

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This article describes an approximate algorithm for finding the Kemeny median for a set of non-strict orderings of alternatives. The study was carried out for choosing alternatives involving making an informed decision on the completion of the analysis and generalization of incoming information and reaching a threshold value for the decision criterion. The article offers a justification for choosing solutions to multi-criteria tasks in planning and management from an existing set of alternatives using expert assessments. Two algorithms for searching for the Kemeny median are proposed in the pr
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Kosareva, Natalja, Edmundas Kazimieras Zavadskas, Aleksandras Krylovas, and Stanislav Dadelo. "Personnel Ranking and Selection Problem Solution by Application of KEMIRA Method." International Journal of Computers Communications & Control 11, no. 1 (2015): 51. http://dx.doi.org/10.15837/ijccc.2016.1.2159.

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In this study KEmeny Median Indicator Rank Accordance (KEMIRA) method is applied for solving personnel ranking and selection problem when there are two subgroups of evaluating criteria. Each stage of KEMIRA method illustrated with the examples. In the first stage Kemeny median method is applied to generalize experts’ opinions for setting criteria priorities. Medians were calculated for all experts opinions generalization and for experts majority opinions generalization. In the second stage criteria weights calculated and alternatives ranking accomplished simultaneously by Indicator Rank Accord
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Krylovas, Aleksandras, Edmundas Kazimieras Zavadskas, Natalja Kosareva, and Stanislav Dadelo. "New KEMIRA Method for Determining Criteria Priority and Weights in Solving MCDM Problem." International Journal of Information Technology & Decision Making 13, no. 06 (2014): 1119–33. http://dx.doi.org/10.1142/s0219622014500825.

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This study presents a new KEmeny Median Indicator Ranks Accordance (KEMIRA) method for determining criteria priority and selection criteria weights in the case of two separate groups of criteria for solving multiple criteria decision making (MCDM) problem. Kemeny median method is proposed to generalize experts' opinion. Medians are calculated applying three different measure functions. Criteria weights are calculated and alternatives ranking accomplished by solving optimization problem — minimization of ranks discrepancy function calculated for two groups of criteria. A numerical example for s
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Shin, Min-Ji, Tarmo Veskioja, Tiina Titma, and Ago Samoson. "Kemeny–Snell Distance in Nuclear Magnetic Resonance Metabolomics." Applied Magnetic Resonance 51, no. 12 (2020): 1637–45. http://dx.doi.org/10.1007/s00723-020-01282-2.

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Zhurakovska, Oksana, and Illa Kochubey. "Use of Kemeny median in the algorithm of forming recommendation." System research and information technologies, no. 4 (December 29, 2020): 59–69. http://dx.doi.org/10.20535/srit.2308-8893.2020.4.05.

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The relevant nowadays question of development of the algorithmic support of recommender systems is considered. The article is devoted to the solution of the problem of forming recommendations to new users, which is based on the ideas of transition from the matrix "user-object" to the ranking of objects and the formation of recommendations to the user of the active cluster based on the construction of the resulting ranking, which is a Kemeny median on a set of rankings. The choice of Kemeny median as the resulting ranking and the choice of algorithm for its construction are justified. To reduce
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Azzini, Ivano, and Giuseppe Munda. "A new approach for identifying the Kemeny median ranking." European Journal of Operational Research 281, no. 2 (2020): 388–401. http://dx.doi.org/10.1016/j.ejor.2019.08.033.

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Dvoenko, S. D. "A Developing of the Kemeny Median: New Types and Algorithms." Pattern Recognition and Image Analysis 31, no. 3 (2021): 376–80. http://dx.doi.org/10.1134/s105466182103007x.

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Dissertations / Theses on the topic "The distance and the Kemeny median"

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BUSCEMI, Simona. "Ensemble methods for ranking data with and without position weights." Doctoral thesis, Università degli Studi di Palermo, 2020. http://hdl.handle.net/10447/395373.

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The main goal of this Thesis is to build suitable Ensemble Methods for ranking data with weights assigned to the items’positions, in the cases of rankings with and without ties. The Thesis begins with the definition of a new rank correlation coefficient, able to take into account the importance of items’position. Inspired by the rank correlation coefficient, τ x , proposed by Emond and Mason (2002) for unweighted rankings and the weighted Kemeny distance proposed by García-Lapresta and Pérez-Román (2010), this work proposes τ x w , a new rank correlation coefficient corresponding to the weighte
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Han, Mengjie, Johan Håkansson, and Pascal Rebreyend. "How do different densities in a network affect the optimal location of service centers?" Högskolan Dalarna, Statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:du-12606.

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The p-median problem is often used to locate p service centers by minimizing their distances to a geographically distributed demand (n). The optimal locations are sensitive to geographical context such as road network and demand points especially when they are asymmetrically distributed in the plane. Most studies focus on evaluating performances of the p-median model when p and n vary. To our knowledge this is not a very well-studied problem when the road network is alternated especially when it is applied in a real world context. The aim in this study is to analyze how the optimal location so
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Yin, Zhaoming. "Enhance the understanding of whole-genome evolution by designing, accelerating and parallelizing phylogenetic algorithms." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51875.

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The advent of new technology enhance the speed and reduce the cost for sequencing biological data. Making biological sense of this genomic data is a big challenge to the algorithm design as well as the high performance computing society. There are many problems in Bioinformatics, such as how new functional genes arise, why genes are organized into chromosomes, how species are connected through the evolutionary tree of life, or why arrangements are subject to change. Phylogenetic analyses have become essential to research on the evolutionary tree of life. It can help us to track the history of
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Erdamar, Bora. "Informational Frameworks for Collective Decision Making: "A Suggested Compromise"." Phd thesis, Palaiseau, Ecole polytechnique, 2013. https://tel.archives-ouvertes.fr/pastel-00945218/document.

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Cette thèse porte sur les fondations de la théorie des préférences et de l'utilité utilisée dans les domaines du choix social et de la théorie de la décision. Le premier chapitre est l'introduction. Le second chapitre est composé d'une revue de la littérature et des résultats existants, d'une discussion des motivations pour envisager un nouveau cadre théorique permettant de combiner différentes approches de l'agrégation des préférences individuelles, et d'une proposition d'un modèle hybride appelé modèle de préférence-approbation. Le troisième chapitre pose la question du sens que l'on peut do
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Ratel, Sébastien. "Densité, VC-dimension et étiquetages de graphes." Electronic Thesis or Diss., Aix-Marseille, 2019. http://www.theses.fr/2019AIXM0427.

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Une partie des résultats de cette thèse sont initialement motivés par l'élaboration de schémas d'étiquetage permettant de réponde à l'adjacence, à la distance ou au routage. Ce document traite cependant de problèmes d'intérêt plus généraux tels que l'étude de bornes sur la densité de graphes, de la VC-dimension de familles d'ensembles, ou de propriétés métriques et structurelles.Nous établissons dans un premier temps des bornes supérieures sur la densité des sous-graphes de produits cartésien de graphes, puis des sous-graphes de demi-cubes. Pour ce faire, nous définissons des extensions du par
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Desharnais, Charles. "Étude combinatoire et algorithmique de la médiane de permutations sous la distance de Kendall-Tau." Thèse, 2019. http://hdl.handle.net/1866/22522.

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Milosz, Robin. "Étude algorithmique et combinatoire de la méthode de Kemeny-Young et du consensus de classements." Thèse, 2018. http://hdl.handle.net/1866/21741.

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Mo, Dian. "Compressive Parameter Estimation with Emd." 2014. https://scholarworks.umass.edu/theses/1193.

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In recent years, sparsity and compressive sensing have attracted significant attention in parameter estimation tasks, including frequency estimation, delay estimation, and localization. Parametric dictionaries collect signals for a sampling of the parameter space and can yield sparse representations for the signals of interest when the sampling is sufficiently dense. While this dense sampling can lead to high coherence in the dictionary, it is possible to leverage structured sparsity models to prevent highly coherent dictionary elements from appearing simultaneously in a signal representation,
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Milosz, Robin. "Étude de la médiane de permutations sous la distance de Kendall-Tau." Thèse, 2015. http://hdl.handle.net/1866/16162.

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La distance de Kendall-τ compte le nombre de paires en désaccord entre deux permuta- tions. La distance d’une permutation à un ensemble est simplement la somme des dis- tances entre cette permutation et les permutations de l’ensemble. À partir d’un ensemble donné de permutations, notre but est de trouver la permutation, appelée médiane, qui minimise cette distance à l’ensemble. Le problème de la médiane de permutations sous la distance de Kendall-τ, trouve son application en bio-informatique, en science politique, en télécommunication et en optimisation. Ce problème d’apparence simple
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Thiel, Edouard. "Les distances de chanfrein en analyse d'images : fondements et applications." Phd thesis, 1994. http://tel.archives-ouvertes.fr/tel-00005113.

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Les distances de chanfrein sont definies dans l'espace discret ; elles reposent sur la definition et l'application de masques de ponderation, et permettent de bonnes approximations de la distance euclidienne reelle. Elles sont couramment utilisees en analyse d'images, pour quantifier ou decrire des regions dans une image. Elles permettent en particulier le calcul de squelettes ponderes, avec des algorithmes efficaces. Notre propos est de completer les connaissances sur ces distances a tous les niveaux, et de generaliser les notions et algorithmes. Apres quelques rappels de base, nous etudions
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Books on the topic "The distance and the Kemeny median"

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Cook’s Distance and the U.S. Statistical Abstracts (2012): The Uninsured and Median Household Income Across the U.S. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473947382.

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Book chapters on the topic "The distance and the Kemeny median"

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Heiser, Willem J., and Antonio D’Ambrosio. "Clustering and Prediction of Rankings Within a Kemeny Distance Framework." In Algorithms from and for Nature and Life. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00035-0_2.

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Chindelevitch, Leonid, and João Meidanis. "On the Rank-Distance Median of 3 Permutations." In Comparative Genomics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67979-2_14.

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Moreno-García, Carlos Francisco, and Francesc Serratosa. "Modelling the Generalised Median Correspondence Through an Edit Distance." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97785-0_26.

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Buchin, Maike, and Dennis Rohde. "Coresets for $$(k, \ell )$$-Median Clustering Under the Fréchet Distance." In Algorithms and Discrete Applied Mathematics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95018-7_14.

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Ohlebusch, Enno, Mohamed Ibrahim Abouelhoda, Kathrin Hockel, and Jan Stallkamp. "The Median Problem for the Reversal Distance in Circular Bacterial Genomes." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11496656_11.

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Cai, Huangkai, He Jiang, Xiaolin Huang, and Jie Yang. "New Motion Estimation with Angular-Distance Median Filter for Frame Interpolation." In Pattern Recognition and Computer Vision. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03398-9_31.

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Tahiri, Nadia, and Aleksandr Koshkarov. "New Metrics for Classifying Phylogenetic Trees Using K-means and the Symmetric Difference Metric." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_41.

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AbstractThe k-means method can be adapted to any type of metric space and is sometimes linked to the median procedures. This is the case for symmetric difference metric (or Robinson and Foulds) distance in phylogeny, where it can lead to median trees as well as to Euclidean Embedding. We show how a specific version of the popular k-means clustering algorithm, based on interesting properties of the Robinson and Foulds topological distance, can be used to partition a given set of trees into one (when the data is homogeneous) or several (when the data is heterogeneous) cluster(s) of trees. We hav
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Moreno-García, Carlos Francisco, Francesc Serratosa, and Xavier Cortés. "Generalised Median of a Set of Correspondences Based on the Hamming Distance." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49055-7_45.

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Mir, Arnau, and Francesc Rosselló. "The Median of the Distance between Two Leaves in a Phylogenetic Tree." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13214-8_17.

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Feijão, Pedro, and João Meidanis. "SCJ: A Variant of Breakpoint Distance for Which Sorting, Genome Median and Genome Halving Problems Are Easy." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04241-6_8.

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Conference papers on the topic "The distance and the Kemeny median"

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Markin, Alexey, and Oliver Eulenstein. "Cophenetic Median Trees Under the Manhattan Distance." In BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. ACM, 2017. http://dx.doi.org/10.1145/3107411.3107443.

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Urasova, A. "Features of the application of the Kemeny Median method for the formation of homogeneous groups of regions by individual characteristics." In DEFIN-2021: IV INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE. ACM, 2021. http://dx.doi.org/10.1145/3487757.3490782.

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Starovoitov, Valery V. "Quasi-median gray image filtering via distance transformation." In Visual Communications and Image Processing '95, edited by Lance T. Wu. SPIE, 1995. http://dx.doi.org/10.1117/12.206642.

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Kubota, Ryosuke, and Noriaki Suetake. "Threshold Tuning of Switching Median Filter Employing Distribution Distance." In 2010 Fourth Pacific-Rim Symposium on Image and Video Technology (PSIVT). IEEE, 2010. http://dx.doi.org/10.1109/psivt.2010.78.

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Charles, D. "Distance-weighted median filters and their application to colour images." In International Conference on Visual Information Engineering (VIE 2003). Ideas, Applications, Experience. IEE, 2003. http://dx.doi.org/10.1049/cp:20030501.

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Mo, Dian, and Marco F. Duarte. "Compressive parameter estimation with earth mover's distance via K-median clustering." In SPIE Optical Engineering + Applications, edited by Dimitri Van De Ville, Vivek K. Goyal, and Manos Papadakis. SPIE, 2013. http://dx.doi.org/10.1117/12.2024247.

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Matsumoto, Mitsuharu. "Parameter Setting of Center Weighted Median Filter using HOG Feature Distance." In Signal and Image Processing and Applications / Artificial Intelligence and Soft Computing. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.738-044.

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Colosimo, Francesco, and Floriano De Rango. "Median-Krum: A Joint Distance-Statistical Based Byzantine-Robust Algorithm in Federated Learning." In MSWiM '23: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems. ACM, 2023. http://dx.doi.org/10.1145/3616390.3618283.

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Iosif, Panteleimon, Nikolaos Ploskas, and Kostas Stergiou. "A Heuristic Constraint Programming Approach to the p-median Problem with Distance Constraints." In SETN 2024: 13th Hellenic Conference on Artificial Intelligence. ACM, 2024. https://doi.org/10.1145/3688671.3688764.

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Silva, Helmuth O. M., Diego P. Rubert, Eloi Araujo, and Fábio V. Martinez. "Algorithms for a Restricted Genome Median Problem." In Encontro de Teoria da Computação. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/etc.2022.222734.

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In the median problem we are given a set of three or more genomes and want to find a new genome minimizing the sum of pairwise distances between it and the given genomes. For almost all rearrangement operations the median problem is NP-hard. We study the median problem under a restricted rearrangement measure called c4-distance, which is closely related to breakpoint and DCJ distances. We propose two algorithms for its construction, one exact ILP-based and a combinatorial heuristic, and perform experiments on simulated data.
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Reports on the topic "The distance and the Kemeny median"

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Fajardo, Johanna, and Eduardo Lora. Latin American Middle Classes: The Distance between Perception and Reality. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0011352.

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The main contribution of this paper with respect to previous work is the use of data on subjective perceptions to identify the Latin American middle classes. This paper provides a set of comparisons between objective and subjective definitions of middle-class using data from the 2007 World Gallup Poll. Seven objective income-based definitions of social class are contrasted with a self-perceived social status measure. Mismatches between the objective and the subjective classification of social class are the largest when the objective definition is based on median incomes. Mismatches result from
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Beal, Samuel, and Matthew Bigl. Particle size characteristics of energetic materials distributed from low-order functioning mortar munitions. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49189.

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Particles of explosive filler distributed from low-order (LO) munition functioning are susceptible to dissolution and potential mobilization into groundwater and surface water. We command-initiated three mortar munitions as LO in triplicate using a fuze simulator and recovered particles from an ice surface to constrain LO particle characteristics. Total explosive mass recovery (19–55%) and spatial distribution (0->20 m) varied significantly both between munitions and between replicate LOs of the same munition. The median particle size (0.27–3.99 mm) varied with total mass recovery. In gener
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Aromi, J. Daniel, María Paula Bonel, Julián Cristia, Martín Llada, and Luis Palomino. Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003315.

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This study analyzes mobility patterns during the COVID-19 pandemic for eight large Latin American cities. Indicators of mobility by socioeconomic status (SES) are generated by combining georeferenced mobile phone information with granular census data. Before the pandemic, a strong positive association between SES and mobility is documented. With the arrival of the pandemic, in most cases, a negative association between mobility and SES emerges. This new pattern is explained by a notably stronger reduction in mobility by high-SES individuals. A comparison of mobility for SES decile 1 vs decile
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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted feature
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