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1

Pedroche, Francisco, та J. Alberto Conejero. "Corrected Evolutive Kendall’s τ Coefficients for Incomplete Rankings with Ties: Application to Case of Spotify Lists". Mathematics 8, № 10 (2020): 1828. http://dx.doi.org/10.3390/math8101828.

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Mathematical analysis of rankings is essential for a wide range of scientific, public, and industrial applications (e.g., group decision-making, organizational methods, R&D sponsorship, recommender systems, voter systems, sports competitions, grant proposals rankings, web searchers, Internet streaming-on-demand media providers, etc.). Recently, some methods for incomplete aggregate rankings (rankings in which not all the elements are ranked) with ties, based on the classic Kendall’s tau coefficient, have been presented. We are interested in ordinal rankings (that is, we can order the eleme
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Gyarmati, László, Éva Orbán-Mihálykó, Csaba Mihálykó, and Ágnes Vathy-Fogarassy. "Aggregated Rankings of Top Leagues’ Football Teams: Application and Comparison of Different Ranking Methods." Applied Sciences 13, no. 7 (2023): 4556. http://dx.doi.org/10.3390/app13074556.

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In this study, the effectiveness and characteristics of three ranking methods were investigated based on their performance in ranking European football teams. The investigated methods were the Thurstone method with ties, the analytic hierarchy process with logarithmic least squares method, and the RankNet neural network. The methods were analyzed in both complete and incomplete comparison tasks. The ranking based on complete comparison was performed on match results of national leagues, where each team had match results against all the other teams. In the incomplete comparison case, in additio
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Zúñiga, Andrés A., João F. P. Fernandes, and Paulo J. C. Branco. "Comparisons Between Quantitative FMECA Methods: A Case Study on Power Transformer Risk Assessments." Systems 13, no. 6 (2025): 450. https://doi.org/10.3390/systems13060450.

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The efficacy of new FMECA methods can be assessed through qualitative comparisons of the failure mode rankings. This approach is suitable for a few failure modes but can become impractical or lead to misleading results for more extensive problems. This fact motivated us to introduce an alternative approach for comparing different FMECA methods based on agreement coefficients, enabling a statistical comparison between rankings generated by independent raters. Despite its relevance, the application of agreement coefficients is limited in the FMECA context. Our proposed approach utilizes Cohen’s
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Chen, Hong, Zhibin Pan, and Luoqing Li. "Learning performance of coefficient-based regularized ranking." Neurocomputing 133 (June 2014): 54–62. http://dx.doi.org/10.1016/j.neucom.2013.11.032.

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Thinh, Hoang Xuan, and Tran Van Dua. "Enhancing Understanding of Changes in Solution Rankings with Variations in User Coefficients in AROMAN Method." International Journal of Mechanical Engineering and Robotics Research 13, no. 3 (2024): 354–61. http://dx.doi.org/10.18178/ijmerr.13.3.354-361.

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Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN) is a recently discovered method for Multi-Criteria Decision Making (MCDM). When using it, decision-makers must choose the values of two parameters, one being the value of the synthetic coefficient of normalized values (β), and the other being the value of the correlation coefficient between the quantities of criteria in each form (λ), referred to as user coefficients. Both of these coefficients have values ranging from 0 to 1. In previous AROMAN applications, both coefficients were consistently chosen as 0.5. This
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Li, Xuefei, Lijun Chang, Kai Zheng, Zi Huang, and Xiaofang Zhou. "Ranking weighted clustering coefficient in large dynamic graphs." World Wide Web 20, no. 5 (2016): 855–83. http://dx.doi.org/10.1007/s11280-016-0420-2.

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Jahanmir, S., and M. Beltzer. "Effect of Additive Molecular Structure on Friction Coefficient and Adsorption." Journal of Tribology 108, no. 1 (1986): 109–16. http://dx.doi.org/10.1115/1.3261129.

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Experimental results on friction coefficients obtained with a number of model additives in a four ball test apparatus have confirmed a recently proposed model of boundary lubrication. The values of adsorption free energies, calculated from friction coefficient data, agreed very closely with the free energies of adsorption determined by contact potential difference measurements. In general, the ranking order of additives based on the free energy of adsorption was the same as the published literature. The friction coefficient data obtained here were in excellent agreement with the published data
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Kápolnai, Zsombor. "Comparing shopping communities by statistical methods." Pro Scientia Ruralis 8, no. 1 (2024): 7–17. http://dx.doi.org/10.59357/proscirural.2023.1.01.

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The shopping community is a widely popular form of shopping in Hungary in the second decade of the 21st century. While the literature identifies the shopping community as an element of the short supply chain, shopping communities present themselves as a "link", a form of shopping, a tool for local economic development, among other things. Based on the number of products offered in the shopping communities by product group, the shopping communities with webshops were compared using Kendall's concordance coefficient. My aim was to visualise the relative offerings of the shopping communities. The
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Zmyślony, Piotr, and Natalia Piechota. "The World’s Tourist Metropolis in International Cities’ Rankings – Statistical Multicriterial Ranking Analysis." Folia Turistica 38 (March 31, 2016): 57–80. http://dx.doi.org/10.5604/01.3001.0008.9384.

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Purpose. (1) Measuring the economic and tourist potential of metropolitan areas recognized as world/global cities; (2) determining the intensity of the relationship between tourism potential and economic potential of these cities; (3) proposing a classification of the world’s tourist cities. Method. Multicriterial ranking method based on secondary sources in the form of cities’ rankings characterized by their tourist and economic potential; measuring the relationship between their tourism and economic potential using the Pearson correlation coefficient. Findings. The study revealed the ranking
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Qiao, Jia-Ming. "The Analysis and Comparison of the Comprehensive Index of the Development of China Urban Exhibition Industry." Business Prospects 2, no. 2 (2021): 85–93. http://dx.doi.org/10.52288/bp.27089851.2021.12.14.

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With the development of modern economy, exhibition industry has become an important platform for the construction of modern market system and open economic system. At present, there are many indicators to measure the competitiveness of urban exhibition industry in China. The annual index of competitiveness of Chinese city exhibition industry initiated by China convention and exhibition economic association has become the most authoritative report of competitiveness index of city exhibition industry. The exhibition industry is also one of the important evaluation criteria. This paper mainly use
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Abdallah, Hassan, Béatrice Markhoff, and Arnaud Soulet. "Ranking Indicator Discovery from Very Large Knowledge Graphs." Proceedings of the VLDB Endowment 18, no. 4 (2024): 1183–95. https://doi.org/10.14778/3717755.3717775.

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Ranking indicators are essential tools for comparing the importance of various entities such as cities or scientists. While extensively used in fields like econometrics and scientometrics, many other domains lack systematic approaches for developing these indicators. In this paper, we introduce a novel method for automatically discovering ranking indicators from very large knowledge graphs. To this end, we formalize the notion of counting graph pattern (CG) as a special SPARQL query, and the concept of ideal ranking indicator as a CG whose result induces a strict total order on a set of entiti
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Cheng, Min-Yuan, Cheng-Wei Su, Ming-Hsiu Tsai, and Kuo-Shian Lin. "DATA PREPROCESSING FOR ARTIFICIAL NEURAL NETWORK APPLICATIONS IN PRIORITIZING RAILROAD PROJECTS – A PRACTICAL EXPERIENCE IN TAIWAN." Journal of Civil Engineering and Management 18, no. 4 (2012): 483–94. http://dx.doi.org/10.3846/13923730.2012.699914.

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Financial constraints necessitate the tradeoff among proposed railroad projects, so that the project priorities for implementation and budget allocation need to be determined by the ranking mechanisms in the government. At present, the Taiwan central government prioritizes funding allocations primarily using the analytic hierarchy process (AHP), a methodology that permits the synthesizing of subjective judgments systematically and logically into objective consensus. However, due to the coopetition and heterogeneity of railway projects, the proper priorities of railroad projects could not be al
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Nezai, Azzeddine, Mohamed Ramli, and Brahim Refafa. "The Relationship Between the Scientific Activities in Research Laboratories with Webometrics Ranking of Algerian Universities: An Empirical Investigation." Business Ethics and Leadership 6, no. 1 (2022): 67–82. http://dx.doi.org/10.21272/bel.6(1).67-82.2022.

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Algeria has paid attention to the higher education and scientific research sector through the five-year scientific research and technological development programs (1998-2002, 2008-2012, and 2014-2019). The study aims to evaluate the scientific research activities in Algerian universities within the framework of scientific research programs, to study the relationship of scientific activities by researchers in Algerian research laboratories with Webometrics ranking of Algerian universities. It is eluted what are the scientific activities of Algerian researchers which have the most impact on the
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Radojicic, Zoran, Dragan Vukmirovic, Nahod Vukovic, and Milos Vojinovic. "Applying coefficients of preference in ranking (CPR)." Yugoslav Journal of Operations Research 13, no. 2 (2003): 175–86. http://dx.doi.org/10.2298/yjor0302175r.

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In marketing or medical research, especially in psychiatrics, it is very often necessary to define preference of examinees against defined object (persons, products, or phenomena). A question that is related to the object of preference is defined as like degree of like (positive preference) or as like degree of dislike (negative preference), where estimation is done as in scholar system (nominal or ordinal characteristics), with marks 1 through 5. Rank of objects achieved is very often expressed as average, which is not a good measure for realistic object ranking. In this paper, a coefficient
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Nassa, Anil Kumar, Jagdish Arora, Priyanka Singh, and Hiteshkumar Solanki. "What Contributes More to the Ranking of HEIs?: Comparative Analysis of Ranking Parameters of India Rankings 2021 in Overall Category using Pearson’s Correlation Coefficient." Journal of Scientometric Research 11, no. 3 (2023): 295–308. http://dx.doi.org/10.5530/jscires.11.3.33.

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Li, Jianbo, Minggao Gu, and Tao Hu. "General partially linear varying-coefficient transformation models for ranking data." Journal of Applied Statistics 39, no. 7 (2012): 1475–88. http://dx.doi.org/10.1080/02664763.2012.658357.

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17

Nirmalsingh, S. Samuel, and P. John Robinson. "Triangular Intuitionistic Fuzzy Linear Programming Problem with a New Ranking Method based on Correlation Coefficient." Indian Journal Of Science And Technology 16, SP3 (2023): 75–83. http://dx.doi.org/10.17485/ijst/v16isp3.icrtam297.

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18

Le, Thi Hong Phuong, and Ta-Chung Chu. "Novel Method for Ranking Generalized Fuzzy Numbers Based on Normalized Height Coefficient and Benefit and Cost Areas." Axioms 12, no. 11 (2023): 1049. http://dx.doi.org/10.3390/axioms12111049.

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This paper proposes a method for ranking generalized fuzzy numbers, which guarantees that both horizontal and vertical values are important parameters affecting the final ranking score. In this method, the normalized height coefficient is introduced to evaluate the influence of the height of fuzzy numbers on the final ranking score. The higher the normalized height coefficient of a generalized fuzzy number is, the higher its ranking. The left and right areas are presented to calculate the impact of the vertical value on the final ranking score. The left area is considered the benefit area. The
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19

Podvezko, Valentinas. "AGREEMENT OF EXPERT ESTIMATES." Technological and Economic Development of Economy 11, no. 2 (2005): 101–7. http://dx.doi.org/10.3846/13928619.2005.9637688.

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The application of multicriteria methods largely depends on the calculation of the criteria weights based on expert evaluation. The results obtained can be used for practical purposes if expert judgments are in good agreement. This may be determined by the concordance of a coefficient obtained by ranking the available alternatives. The paper considers a possibility to apply the concordance coefficient in cases when expert evaluation is not based on ranking. The calculations reveal the dependence of the agreement of expert estimates on a particular method used. The highest degree of agreement h
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20

Mai, Nguyen Trong. "Hybrid Multi-Criteria Decision Making Methods: Combination of Preference Selection Index Method with Faire Un Choix Adèquat, Root Assessment Method, and Proximity Indexed Value." Engineering, Technology & Applied Science Research 15, no. 1 (2025): 19086–90. https://doi.org/10.48084/etasr.9235.

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This study presents an investigation into the hybridization of Multiple Criteria Decision Making (MCDM) methods. The Preference Selection Index (PSI) method is used in two distinct ways: first, for its traditional purpose of ranking alternatives, and second, to calculate criteria weights. These criteria weights are utilized to rank the alternatives provided by other MCDM methods, including the Faire Un Choix Adéquat (FUCA), Root Assessment Method (RAM), and Proximity Indexed Value (PIV), resulting in the creation of three hybrid models: FUCA-PSI, RAM-PSI, and PIV-PSI. The effectiveness of thes
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Merino, Jordi, Sarah Berry, Sajaysurya Ganesh, et al. "Precision Nutrition and Reliability of Continuous Glucose Monitors: Insights From the PREDICT Study." Current Developments in Nutrition 5, Supplement_2 (2021): 513. http://dx.doi.org/10.1093/cdn/nzab041_028.

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Abstract Objectives The use of continuous glucose monitors (CGM) provides a more in-depth characterization of glycemic variation in response to environmental stimuli, but concerns about CGM reliability for categorizing glycemic responses to foods and meals exist. We sought to evaluate the concordance and reliability of two simultaneously worn CGM devices on postprandial glycemic responses. Methods We examined the correlation and coefficient of variation of the 2h glucose incremental area under the curve (iAUC) for 21,527 standardized and ad libitum meals consumed by 368 healthy participants fr
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22

Lai, Qinghui, Jinjun Hu, Lili Xie, and Longjun Xu. "Analysis of the Effects of Different Factors on Damage Potential Ranking." Sustainability 15, no. 2 (2023): 1583. http://dx.doi.org/10.3390/su15021583.

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A quantitative evaluation of the damage potential of ground motions to structures can provide a basis for the selection of input ground motions. To determine the main factors influencing the damage potential ranking of ground motions, the corresponding effect factors were analyzed. First, the structural period range from 0.05 to 10 s was divided into three types of period ranges based on an improved Newmark–Hall spectrum. The intensity measures (IMs) that can characterize the damage potential in every period range were determined. Second, the effect of yield strength coefficient (Cy), vibratio
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Ravana, Sri Devi, Prabha Rajagopal, and Vimala Balakrishnan. "Ranking retrieval systems using pseudo relevance judgments." Aslib Journal of Information Management 67, no. 6 (2015): 700–714. http://dx.doi.org/10.1108/ajim-03-2015-0046.

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Purpose – In a system-based approach, replicating the web would require large test collections, and judging the relevancy of all documents per topic in creating relevance judgment through human assessors is infeasible. Due to the large amount of documents that requires judgment, there are possible errors introduced by human assessors because of disagreements. The paper aims to discuss these issues. Design/methodology/approach – This study explores exponential variation and document ranking methods that generate a reliable set of relevance judgments (pseudo relevance judgments) to reduce human
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Chen, Wen-Jung, Cheng-Yu Huang, Yu-Hui Huang, et al. "Correlations between Mortality-to-Incidence Ratios and Health Care Disparities in Testicular Cancer." International Journal of Environmental Research and Public Health 17, no. 1 (2019): 130. http://dx.doi.org/10.3390/ijerph17010130.

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The mortality-to-incidence ratio (MIR) is associated with the clinical outcomes of different types of cancer as well as the ranking of health care systems. However, the association between MIRs for testicular cancer and health care disparities, including differences in expenditures and health system rankings, has not yet been reported. We used the Spearman’s rank correlation coefficient (CC) to analyze the correlation between testicular cancer MIRs and both total expenditures on health/gross domestic product (e/GDP) and the World Health Organization’s (WHO) health system rankings. After screen
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Zhang, Qian S., Jérôme Goudet, and Bruce S. Weir. "Rank-invariant estimation of inbreeding coefficients." Heredity 128, no. 1 (2021): 1–10. http://dx.doi.org/10.1038/s41437-021-00471-4.

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AbstractThe two alleles an individual carries at a locus are identical by descent (ibd) if they have descended from a single ancestral allele in a reference population, and the probability of such identity is the inbreeding coefficient of the individual. Inbreeding coefficients can be predicted from pedigrees with founders constituting the reference population, but estimation from genetic data is not possible without data from the reference population. Most inbreeding estimators that make explicit use of sample allele frequencies as estimates of allele probabilities in the reference population
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Su, Peifeng, Sasu Tarkoma, and Petri K. E. Pellikka. "Band Ranking via Extended Coefficient of Variation for Hyperspectral Band Selection." Remote Sensing 12, no. 20 (2020): 3319. http://dx.doi.org/10.3390/rs12203319.

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Hundreds of narrow bands over a continuous spectral range make hyperspectral imagery rich in information about objects, while at the same time causing the neighboring bands to be highly correlated. Band selection is a technique that provides clear physical-meaning results for hyperspectral dimensional reduction, alleviating the difficulty for transferring and processing hyperspectral images caused by a property of hyperspectral images: large data volumes. In this study, a simple and efficient band ranking via extended coefficient of variation (BRECV) is proposed for unsupervised hyperspectral
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Selvarangam. "SELECTING PERFECT INTERESTINGNESS MEASURES BY COEFFICIENT OF VARIATION BASED RANKING ALGORITHM." Journal of Computer Science 10, no. 9 (2014): 1672–79. http://dx.doi.org/10.3844/jcssp.2014.1672.1679.

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28

Cabała, Paweł. "Zastosowanie współczynnika konkordancji w pomiarze zgodności ocen ekspertów." Przegląd Statystyczny. Statistical Review 2010, no. 2-3 (2010): 36–52. http://dx.doi.org/10.59139/ps.2010.02-03.3.

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In this article the problem of the measurement of agreement among experts is discussed. There are several tools to verify whether opinions expressed by an ordinal scale are reliable. If the objects are ranked, one of correlation coefficients is chosen. At the beginning, the case of m > 2 experts ranking n objects is presented; first, using untied ranks and second, tied ranks. To this end Kendall’s coefficient of concordance is applied. The method of examination of the statistical significance is also presented. Additionally the issue of the interpretation of the concordance coefficient in r
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Lai, Qinghui, Jinjun Hu, and Lili Xie. "The Effect of the Yield Strength Coefficient and Natural Vibration Period on the Damage Potential Ranking of Ground Motions." Applied Sciences 13, no. 1 (2022): 392. http://dx.doi.org/10.3390/app13010392.

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To analyze the effect of structural parameters on the damage potential ranking of ground motions, the effect of the yield strength coefficient (Cy) and natural vibration period (T) on the damage potential ranking of ground motions is analyzed based on the bilinear model and the modified Clough model, which are the most commonly used hysteretic models in structural dynamic analysis. The displacement response (Sd) spectrum under nonlinear conditions is taken as the damage potential intensity measure (IM) of ground motions, and the effect of the Cy and T on the Sd mean spectrum is also analyzed f
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Nikitina, M. A., and I. M. Chernukha. "Nonparametric statistics. Part 3. Correlation coefficients." Theory and practice of meat processing 8, no. 3 (2023): 237–51. http://dx.doi.org/10.21323/2414-438x-2023-8-3-237-251.

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A measure of correlation or strength of association between random variables is the correlation coefficient. In scientific research, correlation analysis is most often carried out using various correlation coefficients without explaining why this particular coefficient was chosen and what the resulting value of this coefficient means. The article discusses Spearman correlation coefficient, Kendall correlation coefficient, phi (Yule) correlation coefficient, Cramér’s correlation coefficient, Matthews correlation coefficient, Fechner correlation coefficient, Tschuprow correlation coefficient, ra
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Kulchaitanaroaj, Puttarin, Zoltán Kaló, Robert West, et al. "Understanding perceived availability and importance of tobacco control interventions to inform European adoption of a UK economic model: a cross-sectional study." BMC Health Services Research 18, no. 1 (2018): 115. https://doi.org/10.1186/s12913-018-2923-2.

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<strong>Background: </strong>The evidence on the extent to which stakeholders in different European countries agree with availability and importance of tobacco-control interventions is limited. This study assessed and compared stakeholders' views from five European countries and compared the perceived ranking of interventions with evidence-based ranking using cost-effectiveness data.<strong>Methods: </strong>An interview survey (face-to-face, by phone or Skype) was conducted between April and July 2014 with five categories of stakeholders - decision makers, service purchasers, service provider
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Wieczorek, Patrycja, and Eliza Frejtag-Mika. "Normalizacja zmiennych a porządkowanie krajów Unii Europejskiej pod względem stopnia wykorzystania technologii ICT w przedsiębiorstwach." Nierówności społeczne a wzrost gospodarczy 65, no. 1 (2021): 74–89. http://dx.doi.org/10.15584/nsawg.2021.1.4.

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The main issue of multivariate comparative analysis is the normalization of variables. The literature offers various procedures for data normalization, and therefore the researcher has to choose between them. The article presents and discusses the most commonly used normalizing formulas. The article assesses the impact of data normalization procedures on the results of the linear ordering of European Union countries in terms of the level of ICT usage in enterprises. A hypothesis was formulated that the method of data normalization influenced the position of the objects in the ranking. The stud
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Akhtar, Adil, and Tazid Ali. "Analysis of Unweighted Amino Acids Network." International Scholarly Research Notices 2014 (December 16, 2014): 1–6. http://dx.doi.org/10.1155/2014/350276.

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The analysis of amino acids network is very important to studying the various physicochemical properties of amino acids. In this paper we consider the amino acid network based on mutation of the codons. To analyze the relative importance of the amino acids we have discussed different measures of centrality. The measure of centrality is a powerful tool of graph theory for ranking the vertices and analysis of biological network. We have also investigated the correlation coefficients between various measures of centrality. Also we have discussed clustering coefficient as well as average clusterin
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Seo, Jung Pyo, Woncheol Cho, and Tae Sung Cheong. "Development of priority setting process for the small stream restoration projects using multi criteria decision analysis." Journal of Hydroinformatics 17, no. 2 (2014): 211–25. http://dx.doi.org/10.2166/hydro.2014.058.

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This study performed a flood risk assessment using one of the multi criteria decision-making methods to identify the small stream basins with high risk of flooding and to determine the optimal small stream restoration measures by priority ranking for flood risk. The 12 representative factors for the flood risk assessment were carefully selected and constructed for the three main aspects, such as pressure factors, state factors and response factors including the government capacities under the pressure-state-response classification system for identifying the 212 small stream watersheds. The ent
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Lotfi, F., N. Nematollahi, M. H. Behzadi, and M. Mirbolouki. "Ranking Decision Making Units with Stochastic Data by Using Coefficient of Variation." Mathematical and Computational Applications 15, no. 1 (2010): 148–55. http://dx.doi.org/10.3390/mca15010148.

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Kempi, Viktor. "A FORTRAN program for ranking and for calculation of Spearman's correlation coefficient." Computer Methods and Programs in Biomedicine 21, no. 2 (1985): 123–25. http://dx.doi.org/10.1016/0169-2607(85)90072-0.

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Emond, Edward J., and David W. Mason. "A new rank correlation coefficient with application to the consensus ranking problem." Journal of Multi-Criteria Decision Analysis 11, no. 1 (2002): 17–28. http://dx.doi.org/10.1002/mcda.313.

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S.S.Sujatha and Bose S.Beghin. "Cloud Qos Ranking Prediction using Tanimoto Coefficient Similarity Based Deep Learning Method." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 3413–17. https://doi.org/10.35940/ijeat.B4427.029320.

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Cloud computing is a service which provides virtualized resources conforming to the end-user needs. Infrastructure, platform and software included in it. For the last two decades, it has achieved very gigantic growth. Currently, there are several cloud service providers in the market. The primary aim of this research is to minimize cloud service violation. It helps the service providers in exempting the penalty enhancing their reliability. So, cloud service QOS prediction is a research problem that must be solved. It is a very necessary thing for cloud service providers and cloud users. We hav
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Mahmoudi, Amin, Saad Ahmed Javed, Sifeng Liu, and Xiaopeng Deng. "DISTINGUISHING COEFFICIENT DRIVEN SENSITIVITY ANALYSIS OF GRA MODEL FOR INTELLIGENT DECISIONS: APPLICATION IN PROJECT MANAGEMENT." Technological and Economic Development of Economy 26, no. 3 (2020): 621–41. http://dx.doi.org/10.3846/tede.2020.11890.

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The Distinguishing Coefficient (ξ) is an important parameter of Grey Relational Analysis (GRA), a flagship multi-criteria decision making (MCDM) model of Grey System Theory, an intelligent and multifaceted field developed by Chinese scientists in 1980s. However, the scholars widely assume ξ = 0.5. The current study questions this practice. Also, some scholars have argued that the variation in ξ doesn’t influence the ranking of the factors through GRA. On contrary, the study demonstrates, the variation in ξ can influence the ranking. This has been shown through a case involving primary data con
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Mota Porto, Antonio Carlos, Mariana De Lima Santos, and Antonio Carlos Oliveira. "Quality of phytopathometric variables generated from a ranking scale for the CABMV-passionfruit pathosystem." REVISTA AGRO@MBIENTE ON-LINE 12, no. 1 (2017): 58. http://dx.doi.org/10.18227/1982-8470ragro.v12i1.4247.

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The Cowpea aphid-borne mosaic virus (CABMV) is one of the most important pathogenic agents in passionfruit culture, causing extensive loss throughout the national territory. Efficient quantification of disease symptoms is highly dependent on the methodology used, and is directly related to the quality of data&#x0D; generated for later manipulation and analysis. Thus, our objective was to evaluate different methods of using the data collected using a scale based on quality of the generated variables, using statistical parameters. Assumptions of additivity, homoscedasticity and normality of the
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Pilguy, Eleonora I., Leyla S. Namazova-Baranova та Igor A. Gundarov. "Inter-Regional Variability in the Incidence of Skin and Subcutaneous Tissue Diseases of Children Aged 0–14 Years in the Russian Federation (а Population-Based Study)". Pediatric pharmacology 15, № 4 (2018): 349–53. http://dx.doi.org/10.15690/pf.v15i4.1950.

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Background. An effective system for management of pediatric dermatological care in Russia requires taking into account the peculiarities of regional morbidity. According to modern literature, this issue is not sufficiently developed. Our aim was to study the characteristics of variability in the incidence of skin and subcutaneous tissue diseases of children aged 0–14 years in the Russian Federation. Methods. The data of the state medical statistics on 83 territorial entities of the Russian Federation for 2009–2015 was used. The analysis implemented the risk aggregation method. The degree of va
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Yang, Ziyi, Yang Chen, Dong Guo, Fangtong Jiao, Bin Zhou, and Feng Sun. "Importance Classification Method for Signalized Intersections Based on the SOM-K-GMM Clustering Algorithm." Sustainability 17, no. 7 (2025): 2827. https://doi.org/10.3390/su17072827.

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Urbanization has intensified traffic loads, posing significant challenges to the efficiency and stability of urban road networks. Overloaded nodes risk congestion, thus making accurate intersection importance classification essential for resource optimization. This study proposes a hybrid clustering method that combines Self-Organizing Maps (SOMs), K-Means, and the Gaussian Mixture Model (GMM), which is supported by the Traffic Flow–Network Topology–Social Economy (TNS) evaluation framework. This framework integrates three dimensions—traffic flow, road network topology, and socio-economic feat
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Suhailan, S., S. Abdul Samad, M. A. Burhanuddin, and M. Makhtar. "A hybrid model of ordinal ranking-based clustering using G+Rank K-Means." International Journal of Engineering & Technology 7, no. 2.15 (2018): 41. http://dx.doi.org/10.14419/ijet.v7i2.15.11209.

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K-Means is a clustering technique that maps object features onto multidimensional coordinates and groups them based on location closeness. However, measuring closest distance can be doubtful when ranking representation of ordinal scale objects are not considered. Thus, distribution of objects in a cluster may violate ranking representation. For example, a same-rank object may be grouped into different clusters. To address this issue, an enhanced of K-Means algorithm is proposed to achieve better and meaningful result of ranking-based clustering. It is based on integration of ranking algorithm
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Thinh, Hoang Xuan, Duong Van Duc, and Nguyen Chi Bao. "The Effect of CoCoSo Method on the Ranks of Alternatives: A Case Study of Copper Electrical Wire Selection." Engineering, Technology & Applied Science Research 14, no. 6 (2024): 18307–15. https://doi.org/10.48084/etasr.9063.

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When using MCDM (Multi-Criteria Decision-Making) methods to rank alternatives, decision makers’ opinions have a huge influence on the ranking results. The decision makers’ opinions can vary depending on the chosen MCDM method, data normalization method, and weighting method. For some MCDM methods, during the application process, users also need to choose the value of a certain coefficient (called the user coefficient). Obviously, the value of the user coefficient depends on users’ opinions, and of course, these opinions can affect the ranking of the alternatives. In this article, the effects o
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Luukka, Pasi. "Fuzzy Similarity in Multicriteria Decision-Making Problem Applied to Supplier Evaluation and Selection in Supply Chain Management." Advances in Artificial Intelligence 2011 (December 22, 2011): 1–9. http://dx.doi.org/10.1155/2011/353509.

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It is proposed to use fuzzy similarity in fuzzy decision-making approach to deal with the supplier selection problem in supply chain system. According to the concept of fuzzy TOPSIS earlier methods use closeness coefficient which is defined to determine the ranking order of all suppliers by calculating the distances to both fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) simultaneously. In this paper we propose a new method by doing the ranking using similarity. New proposed method can do ranking with less computations than original fuzzy TOPSIS. We also propose t
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Morgan, Yun-Chen, Yu Hsing, Antoinette S. Phillips, and Carl Phillips. "An Empirical Study of the Relationship between the Ranking of America’s Top States for Business and Unemployment Rate, Growth Rate of Employment, and Growth Rate of Gross State Product." Business and Economic Research 10, no. 3 (2020): 137. http://dx.doi.org/10.5296/ber.v10i3.17384.

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This study attempts to determine whether the ranking of America’s top states for business by CNBC is correlated with state economic performance such as the unemployment rate, the growth rate of employment, and the growth rate of gross state product. Binary variables for the South and the West are also considered. The sample consists of 50 states in 2018. The results indicate that the ranking of America’s top states for business is correlated with each of these economic indicators. Regression analysis shows that the coefficient of the ranking in each of the three regressions is significant at t
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Dua, Tran Van, and Do Duc Trung. "MEPSI (Mutriss Enhanced Preference Selection Index): a novel method for ranking alternatives." EUREKA: Physics and Engineering, no. 6 (November 28, 2024): 169–78. http://dx.doi.org/10.21303/2461-4262.2024.003408.

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This paper introduces a novel method named Mutriss Enhanced Preference Selection Index (MEPSI) for ranking alternatives. MEPSI is a hybrid of MUTRISS (Multiple-Triangles Scenarios) and PSI (Preference Selection Index). In this study, PSI is utilized with two distinct functions: one as a ranking function for alternatives, also known as Multi-Criteria Decision Making (MCDM), and the other as a weighting function for criteria. The criteria weights calculated by the PSI method are used to rank the alternatives using the MUTRISS method. Thus, for each specific problem, the combination of MUTRISS an
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Hao, Pu Yu, Bao Feng Li, and Yu Huan Cui. "An Evaluation Method Based on Grey Incidence Coefficient and Double-Point Method." Applied Mechanics and Materials 50-51 (February 2011): 766–69. http://dx.doi.org/10.4028/www.scientific.net/amm.50-51.766.

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To one company, it takes 8 major economic indicators as evaluation indexes. Firstly, it uses correlation method to determine the weight and uses the double-point method to sort the 8-years comprehensive economic enterprises. Then through the analysis of the correlation matrix, it identifies the main factors. Finally, the ranking and principal component analysis results are compared and analyzed.
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Li, Jinzhong, and Guanjun Liu. "An Improved LambdaMART Algorithm Based on the Matthew Effect." Mathematical Problems in Engineering 2018 (November 6, 2018): 1–11. http://dx.doi.org/10.1155/2018/3082970.

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Matthew effect is a desirable phenomenon for a ranking model in search engines and recommendation systems. However, most of algorithms of learning to rank (LTR) do not pay attention to Matthew effect. LambdaMART is a well-known LTR algorithm that can be further optimized based on Matthew effect. Inspired by Matthew effect, we distinguish queries with different effectiveness and then assign a higher weight to a query with higher effectiveness. We improve the gradient in the LambdaMART algorithm to optimize the queries with high effectiveness, that is, to highlight the Matthew effect of the prod
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Sazonets, Igor, Sergey Yekimov, Jana Hinke, Daniela Šálková, and Renáta Křečková. "Spearman’s correlation coefficient: The case of duplicate ranks." E3S Web of Conferences 538 (2024): 02031. http://dx.doi.org/10.1051/e3sconf/202453802031.

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Correlation analysis makes it possible to calculate the dependence of one variable on another. It can be used to calculate the tightness of the relationship between variables. Spearman’s rank correlation coefficient allows you to perform a ranking operation based on features that can be represented numerically, for example expert estimates, consumer preferences. In expert assessments, it is possible to rank the assessments of various experts and find a correlation between these expert assessments. Spearman's correlation coefficient can be used to evaluate the dynamics of expert assessments. Th
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