Relevant bibliographies by topics / Relative importance methods

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Relative importance methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Relative importance methods"

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Kaplan, R. M., D. Feeny, and D. A. Revicki. "Methods for assessing relative importance in preference based outcome measures." Quality of Life Research 2, no. 6 (December 1993): 467–75. http://dx.doi.org/10.1007/bf00422221.

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GUAN, SHENG-UEI, FANGMING ZHU, and PENG LI. "MODULAR FEATURE SELECTION USING RELATIVE IMPORTANCE FACTORS." International Journal of Computational Intelligence and Applications 04, no. 01 (March 2004): 57–75. http://dx.doi.org/10.1142/s1469026804001021.

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Feature selection plays an important role in finding relevant or irrelevant features in classification. Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems. In this paper, we explore the use of feature selection in modular GA-based classification. We propose a new feature selection technique, Relative Importance Factor (RIF), to find irrelevant features in the feature space of each module. By removing these features, we aim to improve classification accuracy and reduce the dimensionality of classification problems. Benchmark classification data sets are used to evaluate the proposed approaches. The experiment results show that RIF can be used to determine irrelevant features and help achieve higher classification accuracy with the feature space dimension reduced. The complexity of the resulting rule sets is also reduced which means the modular classifiers with irrelevant features removed will be able to classify data with a higher throughput.
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Bansal, Harvir S., and Philippe Duverger. "Investigating the Measures of Relative Importance in Marketing Research." International Journal of Market Research 55, no. 5 (September 2013): 675–94. http://dx.doi.org/10.2501/ijmr-2013-057.

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Determining the relative importance of various predictors in a marketing research model is important for both theoretical and practical reasons. To date, the most commonly used methods to assess relative importance have involved examining either the regression coefficients or zero-order correlations of each predictor. Unfortunately, these indices are problematic when the predictors are correlated, as is the case with many of the drivers of service-provider switching, loyalty studies, satisfaction models and other marketing research. In this paper, we introduce Dominance Analysis to an audience of researchers in marketing research and empirically demonstrate its usefulness for assessing predictor relative importance. Using a Monte Carlo simulation, we first compare the accuracy of five traditional methods used in marketing research assessing relative importance and comparing them to Dominance Analysis. There are theoretical, as well as empirical, advantages to using Dominance Analysis over other methods, and these are discussed in the context of an empirical example using data drawn from a larger study of auto-repair service customers (n = 355).
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Lawson, Jessica, John J. Warren, Steven M. Levy, Barbara Broffitt, and Samir E. Bishara. "Relative Esthetic Importance of Orthodontic and Color Abnormalities." Angle Orthodontist 78, no. 5 (September 1, 2008): 889–94. http://dx.doi.org/10.2319/080207-361.1.

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Abstract Objective: To assess the relative importance of an orthodontic esthetic index, dental fluorosis and nonfluoride opacities, with respect to parents' satisfaction with their children's dental esthetics. Materials and Methods: Dental examinations of Iowa Fluoride Study participants assessed fluorosis and nonfluoride opacities in the mixed dentition. Dental casts of 200 randomly selected subjects were scored using the Dental Aesthetic Index (DAI) criteria. Parent satisfaction was assessed via multiple items on a questionnaire. Associations were evaluated using logistic regression. Results: Nineteen percent of parents were somewhat or very dissatisfied with their children's dental esthetics. Overall DAI score was positively associated with dissatisfaction (P < .001), as was fluorosis (P = .003). Conclusions: In addition to changes related to DAI scores, parent esthetic satisfaction decreased with the presence of fluorosis. Dental professionals should address both the issues of tooth positioning and color aberration with respect to dental esthetics.
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Naoki, Kazuya. "The Relative Importance of Arthropods and Fruits in Foraging Behavior of Omnivorous Tanagers (Thraupidae): The Comparison of Three Methods." Condor 105, no. 1 (February 1, 2003): 135–39. http://dx.doi.org/10.1093/condor/105.1.135.

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Abstract I quantified the foraging ecology of omnivorous Tangara tanagers with three methods commonly used in the study of foraging behavior. The relative importance of two food types, arthropods and fruits, varied largely depending on which method was used for data analyses. Arthropod foraging was more important than fruit foraging when calculated using the duration of foraging. In contrast, fruit foraging was more important when characterized by the food taken at initial observation and the total number of food items taken. This bias was probably caused by the difference in distribution and abundance of these two food types. Although numerous studies have used the frequency of initial observations to quantify bird foraging behavior, this method tends to underestimate the importance of highly rewarding but scarce food types in time budgets and tends to overestimate the same food type in the number of food items in birds' diets. Importancia Relativa de Artrópodos y Frutos en el Comportamiento de Forrajeo de las Tangaras Omnívoras (Thraupidae): Comparación de Tres Métodos Resumen. Cuantifiqué la ecología de forrajeo de las tangaras omnívoras del género Tangara con tres métodos comúnmente utilizados en el estudio del comportamiento de forrajeo. La importancia relativa de dos tipos de alimento, artrópodos y frutos, varió significativamente dependiendo de qué método se utilizó para analizar los datos. El forrajeo de artrópodos fue más importante que el forrajeo de frutos cuando calculado utilizando duración del forrajeo. En contraste, el forrajeo de frutos fue más importante cuando caracterizado por el tipo de alimento consumido en observación inicial y el número total de alimentos consumidos. Este sesgo fue causado probablemente por la diferencia en distribución y abundancia de estos dos tipos de alimento. Muchos estudios han utilizado la frecuencia de observaciones iniciales para cuantificar el comportamiento de forrajeo de las aves. Sin embargo, este método tiende a subestimar la importancia de aquellos alimentos, de alta recompensa pero escasos, en términos del tiempo invertido en su búsqueda. Al mismo tiempo, este método tiende a sobrestimar estos mismos tipos de alimento cuando se considera el número de artículos alimenticios en la dieta de las aves.
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Huberty, Carl J., and Joseph M. Wisenbaker. "Variable Importance in Multivariate Group Comparisons." Journal of Educational Statistics 17, no. 1 (March 1992): 75–91. http://dx.doi.org/10.3102/10769986017001075.

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Three views of relative variable contribution in a multivariate analysis of variance context are discussed: contribution to (a) latent construct definition, (b) linear discriminant function scores, and (c) grouping variable effects. It is argued that the third view is most meaningful. The problem of assessing the relative importance of a set of outcome variables is reviewed. Two numerical ranking methods are proposed. The bootstrap approach is used to compare the methods utilizing two real data sets. No definitive preference is advanced. The variable-ordering problem in two other multivariate analysis contexts is briefly discussed.
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Lee, Junghei. "Relative Importance Analysis of Public Arts Organization’s Performance Evaluation Index: Focused on AHP methods." Journal of Cultural Policy 33, no. 1 (May 2019): 155–84. http://dx.doi.org/10.16937/jcp.2019.33.1.155.

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Yoon, Jee In, and Gi-soo Kim. "Examining the Relative Importance of Indicators for Outdoor Recreation Setting Using Visual Research Methods." Korean Journal of Physical Education 59, no. 3 (May 30, 2020): 325–34. http://dx.doi.org/10.23949/kjpe.2020.5.59.3.325.

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Hayashi, Yoichi, and Masato Nakai. "Reasoning Methods Using a Fuzzy Production Rule with Linguistic Relative Importance in an Antecedent." IEEJ Transactions on Electronics, Information and Systems 109, no. 9 (1989): 661–68. http://dx.doi.org/10.1541/ieejeiss1987.109.9_661.

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Honti, M., A. Scheidegger, and C. Stamm. "Importance of hydrological uncertainty assessment methods in climate change impact studies." Hydrology and Earth System Sciences Discussions 11, no. 1 (January 14, 2014): 501–53. http://dx.doi.org/10.5194/hessd-11-501-2014.

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Abstract. Climate change impact assessments have become more and more popular in hydrology since the middle 1980's with a recent boost after the publication of the IPCC AR4 report. During hundreds of impact studies a quasi-standard methodology emerged, which is mainly shaped by the growing public demand for predicting how water resources management or flood protection should change in the following decades. The "standard" workflow relies on a model cascade from global circulation model (GCM) predictions for selected IPCC scenarios to future catchment hydrology. Uncertainty is present at each level and propagates through the model cascade. There is an emerging consensus between many studies on the relative importance of the different uncertainty sources. The prevailing perception is that GCM uncertainty dominates hydrological impact studies. Our hypothesis was that the relative importance of climatic and hydrologic uncertainty is (among other factors) heavily influenced by the uncertainty assessment method. To test this we carried out a climate change impact assessment and estimated the relative importance of the uncertainty sources. The study was performed on two small catchments in the Swiss Plateau with a lumped conceptual rainfall runoff model. In the climatic part we applied the standard ensemble approach to quantify uncertainty but in hydrology we used formal Bayesian uncertainty assessment with two different likelihood functions. One was a time-series error model that was able to deal with the complicated statistical properties of hydrological model residuals. The second was an approximate likelihood function for the flow quantiles. The results showed that the expected climatic impact on flow quantiles was small compared to prediction uncertainty. The source, structure and composition of uncertainty depended strongly on the uncertainty assessment method. This demonstrated that one could arrive to rather different conclusions about predictive uncertainty for the same hydrological model and calibration data when considering different objective functions for calibration.
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Dissertations / Theses on the topic "Relative importance methods"

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Jin, Ying. "New Algorithms for Mining Network Datasets: Applications to Phenotype and Pathway Modeling." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/40493.

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Biological network data is plentiful with practically every experimental methodology giving â network viewsâ into cellular function and behavior. Bioinformatic screens that yield network data include, for example, genome-wide deletion screens, protein-protein interaction assays, RNA interference experiments, and methods to probe metabolic pathways. Efficient and comprehensive computational approaches are required to model these screens and gain insight into the nature of biological networks. This thesis presents three new algorithms to model and mine network datasets. First, we present an algorithm that models genome-wide perturbation screens by deriving relations between phenotypes and subsequently using these relations in a local manner to derive genephenotype relationships. We show how this algorithm outperforms all previously described algorithms for gene-phenotype modeling. We also present theoretical insight into the convergence and accuracy properties of this approach. Second, we define a new data mining problemâ constrained minimal separator miningâ and propose algorithms as well as applications to modeling gene perturbation screens by viewing the perturbed genes as a graph separator. Both of these data mining applications are evaluated on network datasets from S. cerevisiae and C. elegans. Finally, we present an approach to model the relationship between metabolic pathways and operon structure in prokaryotic genomes. In this approach, we present a new pattern classâ biclusters over domains with supplied partial ordersâ and present algorithms for systematically detecting such biclusters. Together, our data mining algorithms provide a comprehensive arsenal of techniques for modeling gene perturbation screens and metabolic pathways.
Ph. D.
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Field, James G. "A SENSITIVITY ANALYSIS FOR RELATIVE IMPORTANCE WEIGHTS IN THE META-ANALYTIC CONTEXT: A STEP TOWARDS NARROWING THE THEORY-EMPIRICISM GAP IN TURNOVER." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4734.

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Turnover is one of the most important phenomena for management scholars and practitioners. Yet, researchers and practitioners are often frustrated by their inability to accurately predict why individuals leave their jobs. This should be worrisome given that total replacement costs can exceed 100% of an employee’s salary (Cascio, 2006) and can represent up to 40% of a firm’s pre-tax income (Allen, 2008). Motivated by these concerns, the purpose of this study was to assess the predictive validity of commonly-investigated correlates and, by extension, conceptualizations of employee turnover using a large-scale database of scientific findings. Results indicate that job satisfaction, organizational commitment, and embeddedness (e.g., person-job fit, person-organization fit) may be the most valid proximal predictors of turnover intention. Results for a tripartite analysis of the potential empirical redundancy between job satisfaction and organizational commitment when predicting turnover intention align well with previous research on this topic and generally suggest that the two constructs may be empirically indistinguishable in the turnover context. Taken together, this study has important implications for the turnover and sensitivity analysis literatures. With regard to the sensitivity analysis literature, this study demonstrates the application of a sensitivity analysis for relative importance weights in the meta-analytic context. This new method takes into account variance around the meta-analytic mean effect size estimate when imputing relative importance weights and may be adapted to other correlation matrix-based techniques (i.e., structural equation modeling) that are often used to test theory.
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Ozdemir, Mustafa. "A Probabilistic Schedule Delay Analysis In Construction Projects By Using Fuzzy Logic Incorporated With Relative Importance Index (rii) Method." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612169/index.pdf.

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The aim of this thesis is to propose a decision support tool for contractors before the bidding stage to quantify the probability of schedule delay in construction projects by using fuzzy logic incorporated with relative importance index (RII) method. Eighty three (83) different schedule delay factors were identified through detailed literature review and interview with experts from a leading Turkish construction company, then categorized into nine (9) groups and visualized by utilizing Ishikawa (Fish Bone) Diagrams. The relative importances of schedule delay factors were quantified by relative importance index (RII) method and the ranking of the factors and groups were demonstrated according to their importance level on schedule delay. A schedule delay assessment model was proposed by using Fuzzy Theory in order to determine a realistic time contingency by taking into account of delay factors characterized in construction projects. The assessment model was developed by using Fuzzy Logic Toolbox of the MATLAB Program Software. Proposed methodology was tested in a real case study and probability of schedule delay was evaluated by the assessment model after the required inputs were inserted to software. According to the case study results, the most contributing factors and groups (that need attention) to the probability of schedule delays were discussed. The assessment model results were found to be conceivably acceptable and adequate for the purpose of this thesis.
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Ousmen, Ahmad. "Détermination du sens clinique d'un changement pour les questionnaires de qualité de vie relative à la santé en cancérologie." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCE001/document.

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En cancérologie, la qualité de vie relative à la santé (QdV) est considérée comme second critère de jugement principal dans les essais cliniques en l’absence d’effet sur la survie globale. L’interprétation des scores de QdV et d’une différence de scores cliniquement pertinente entre deux temps de mesure est un problème majeur en QdV. Cette différence peut être significative d’un point de vue statistique sans être cliniquement significative du point de vue du patient. La différence minimale cliniquement importante (DMCI) a ainsi été définie comme la plus petite différence de score de QdV qui serait considérée comme ayant un sens clinique pour le patient. L’analyse longitudinale de la QdV est complexe, en particulier en raison de l’occurrence de l’effet « Response Shift » qui est susceptible de biaiser les résultats d’analyse longitudinal et en particulier les résultats de la DMCI. Dans ce contexte, le premier objectif de ce travail de thèse est une revue de la littérature concernant la détermination de la DMCI selon les méthodes les plus couramment utilisées : les méthodes basées sur l’ancre et les méthodes basées sur la distribution. Deuxièmement, calculer la DMCI par les méthodes basées sur l’ancre et la distribution en appliquant différents critères de distribution et plusieurs ancres différentes. L’objectif est de comparer les résultats obtenus par les différentes méthodes et de les comparer également avec les résultats obtenus par les études antérieures. Enfin, étudier l’impact de l’occurrence de l’effet Response Shift sur la détermination de la DMCI pour les questionnaires de QdV en cancérologie
In oncology, the health-related quality of life (HRQOL) is generally considered as a second endpoint in the clinical trials. The interpretation of the results of the longitudinal analysis of such data must be made in both statistical and clinical point of view in order to produce meaningful results for both patients and clinicians. The main objective is to assess the impact of the treatment on patient’s HRQOL level over time. The minimal clinically important difference (MCID) was defined as the smallest change between two scores in a treatment outcome that a patient would identify as important. Indeed, the longitudinal analysis of HRQOL remains complex, particularly due to the potential occurrence of a Response Shift effect characterizing the process of adaptation of the patient in relation to the illness and its treatment. Hence, the first objective of this work is a literature review concerning the determination of the MCID by the most commonly used methods: anchor-based and distribution-based methods. Secondly, calculating the MCID using anchor-based and distribution-based methods by applying different distribution criteria and several different anchors. The objective is to compare the results obtained by the different methods and to compare them to others obtained by previous studies. Finally, studying the impact of the Response Shift effect on the determination of MCID for the HRQOL questionnaires in cancer research using several data corresponding to different therapeutic situations and cancer locations
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Books on the topic "Relative importance methods"

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Alfred, Buch. Prediction of fatigue life of notched specimens under aircraft loading and importance of the relative method in the case of local strain approach. Haifa: Technion Israel Institute of Technology, Dept. of Aeronautical Engineering, 1986.

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Welsman, Joanne R., and Neil Armstrong. Interpreting exercise performance data in relation to body size. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199232482.003.0002.

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The appropriate normalization of exercise performance data for differences in body size underpins the clarification of growth and maturational influences on physiological function. Therefore, scaling is an issue of fundamental importance for all paediatric exercise scientists. The selection and application of a scaling method appropriate for the data and research question being addressed is at least as important as ensuring that the methodology used to collect the data is valid, reliable, and appropriate for use with young people. Several scaling methods are available and some methods can be applied in different ways. Unfortunately, taken as a whole, the extant literature presents a confusing picture as to which of these techniques is preferable, how they should be applied, and the meaning of the results obtained. The aim of this chapter is to clarify these issues through a description of the techniques available for analysing both cross-sectional and longitudinal data sets, highlighting their statistical and theoretical derivations.
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Mills, M. G. L., and M. E. J. Mills. Diet. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198712145.003.0003.

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Four methods were used to document the diet of cheetahs: incidental observations, radio tracking, tracking, spoor, and continuous follows. A combination of continuous follows and tracking spoor gave the best results. Steenbok were the most frequently killed species, but they did not dominate the diet in the same way as Thomson’s gazelle do in the Serengeti. Coalition males have a different diet profile from single males, single females, females with cubs, and sibling groups. For all but single males, the relative occurrence of prey species in the diet reflected its dietary importance in terms of kilograms of meat obtained. Gemsbok calves and adult ostrich were important prey for coalition males and springhares were important for single males. Three individual prey specializations for females were found; namely springbok specialists, steenbok/duiker specialists, and intermediates. Contrary to an earlier study, springbok were not found to be the most important prey species.
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Bhalotra, Sonia, and Manuel Fernández. The rise in women’s labour force participation in Mexico: Supply vs demand factors. 16th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/950-1.

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We estimate the relative importance of alternative labour supply and demand mechanisms in explaining the rise of female labour force participation over the last 55 years in Mexico. The growth of female labour force participation in Mexico between 1960 and 2015 followed an S-shape, with a considerable acceleration during the 1990s. Using decomposition methods and a shift-share design, we show that, put together, supply and demand factors can account for the rise of female labour force participation over the period, led by increases in women’s education and shifts in the occupational structure of the workforce. However, there is unexplained variation in the 1990s, when female labour force participation spiked.
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Bruce, Steve. Researching Religion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786580.001.0001.

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Basic questions about religion in the modern world (such as whether it is becoming more or less popular and who believes what) can be answered only with the perspectives and methods of social science. While the arts and humanities can help us understand religious beliefs and behaviour, only social science can provide us with the evidence that will allow us to discern and explain the social patterns, causes, and consequences of religious belief. Only through the statistical examination of big data can we be confident of what any case study represents. In a text described by one reviewer as ‘brilliantly accessible’, an internationally renowned sociologist addresses the major problems of theory and methods in the study of religion. Important topics in religious studies such as conversion, the relative durability of different types of religion and spirituality, and the social circumstances that strengthen or undermine shared beliefs are used to demonstrate the importance of social science and to address methodological issues such as bias, partisanship, and research ethics. Bruce presents a robust defence of a conventionally scientific view of value-neutral social science against its partisan and postmodern critics.
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Maltby, Mark. The Exploitation of Animals in Roman Britain. Edited by Martin Millett, Louise Revell, and Alison Moore. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199697731.013.045.

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Concentrating mainly on the zooarchaeological data, this chapter reviews the evidence for the exploitation of animals in Roman Britain. The review focuses initially on domestic mammals and their exploitation, with particular attention being paid to the species that contributed the most to the diet—cattle, pig, and sheep. This discussion is followed by a shorter summary of the evidence for the exploitation of other mammals, birds, and fish. The relative importance of the different species for their meat and other commodities is outlined, and reasons for variations in species abundance, mortality patterns, butchery methods, and the stature of domestic stock are discussed. Chronological, regional, settlement, and cultural factors all need to be taken into account when considering the complexities of human–animal relationships in Roman Britain.
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Scott, Peter. ‘Pushing’ Vacuum Cleaners in Inter-War Britain. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198783817.003.0010.

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Marketing vacuum cleaners in the UK largely followed US methods. Vacuum cleaner firms introduced a new form of direct selling to Britain, which was of enduring importance. Its popularity among suppliers was based on its effectiveness—reflected in high British diffusion rates for vacuums, relative to other high-ticket labour-saving appliances. However, unlike the United States—where vacuum cleaner salesmen were widely accepted as part of the retail culture—Britain saw much greater public opposition to unwanted high-pressure selling. A less commonly discussed adverse feature of the system was its treatment of the salesmen, many of whom struggled to earn even a basic labourer’s income. Many salesmen reacted by engaging in sharp practice, both through desperation and, often, in a conscious attempt to turn the tables on their employers.
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Haig, Brian D. Conclusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.003.0007.

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Chapter 7 takes stock of previous chapters by highlighting some of the most important general ideas that shape the character of the book. It is suggested that some of the major lessons learned from the debates on tests of statistical significance hold for research methods more generally and that they complement what is said in this concluding chapter. Eight points made in this book are discussed. They relate to the philosophy of quantitative methods; scientific realism resources; methodology; lack of a “best” scientific method; distinctions between data, phenomena, and theory; quantitative versus qualitative methods; and future study in the philosophy of quantitative methods.
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Cappelen, Herman. Chalmers’s Subscript Gambit, the Importance of Topics, and Lack of Control. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198814719.003.0017.

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This chapter discusses Chalmers’s view about how to deal with verbal disputes, and its relation to the Austerity Framework. According to Chalmers’s subscript gambit, when we suspect that a philosophical term is the subject of a verbal dispute, we ought to ban the use of the word, and replace it with two or more new words which express the different meanings, and investigate whether any substantial dispute remains. Although Chalmers’s method of elimination is helpful, the chapter argues that it does not give us an account of conceptual engineering, because it does not provide a theory of topics, and assumes that we are in control of the meaning of our words.
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Howard, Martin, Raymond Mougeon, and Jean-Marc Dewaele. Sociolinguistics and Second Language Acquisition. Edited by Robert Bayley, Richard Cameron, and Ceil Lucas. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199744084.013.0017.

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While the focus on sociolinguistic and sociopragmatic variation is relatively new, linguistic variation continues to be an important issue that SLA research has grappled with. By linguistic variation, one understands the learner’s variable use of two or more L2 forms to express the same functional value, where one or all forms are nonnative. This chapter focuses on type II variation and presents an overview of the research findings that illuminate the challenge to the learner of developing sociolinguistic and sociopragmatic competence in the L2. While the application of sociolinguistic variationist methods to the study of type II variation has been relatively recent in SLA research, such methods have also been fruitfully used by some SLA researchers in relation to type I variation.
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Book chapters on the topic "Relative importance methods"

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Lemieux, Christiane, and Art B. Owen. "Quasi-Regression and the Relative Importance of the ANOVA Components of a Function." In Monte Carlo and Quasi-Monte Carlo Methods 2000, 331–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56046-0_22.

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Simmons, Nancy B. "The Importance of Methods: Archontan Phylogeny and Cladistic Analysis of Morphological Data." In Primates and Their Relatives in Phylogenetic Perspective, 1–61. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-2388-2_1.

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Singh, Ashutosh, Mohammad Asjad, Piyush Gupta, Zahid Akhtar Khan, and Arshad Noor Siddiquee. "Measuring the Relative Importance of Reconfigurable Manufacturing System (RMS) Using Best–Worst Method (BWM)." In Lecture Notes in Mechanical Engineering, 253–75. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5463-6_24.

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Bellia, Andrea Francesca, Julian Evans, and Sandro Lanfranco. "A Drone’s Eye View: A Preliminary Assessment of the Efficiency of Drones in Mapping Shallow-Water Benthic Assemblages." In Proceedings e report, 501–9. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-147-1.50.

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The study assesses consumer drone efficiency for surveying shallow-water benthic cover. We hypothesised that using a drone would reduce duration, and manpower requirements, while increasing accuracy, relative to manual surveys. Results obtained during this study clearly indicated that automated drone surveys were faster and more accurate than manual survey methods under most circumstances. This result has important implications for the scientific and economic aspects of the process and would have a multiplicative effect in monitoring programs that require regular surveys.
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Malinowski, Paweł H., Tomasz Wandowski, Wiesław M. Ostachowicz, Maxime Sagnard, Laurent Berthe, Romain Ecault, Igor Solodov, Damien Segur, and Marc Kreutzbruck. "Extended Non-destructive Testing for the Bondline Quality Assessment of Aircraft Composite Structures." In Adhesive Bonding of Aircraft Composite Structures, 223–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-92810-4_4.

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AbstractWe present the results of extended non-destructive testing (ENDT) methods for bond line quality assessment in adhesive joints. The results presented were derived for important application scenarios with regards to aircraft manufacturing and the in-service repair of composite structures. The electromechanical impedance (EMI), laser shock adhesion testing (LASAT), and nonlinear ultrasound scanning (NUS) were used on flat coupon samples, scarfed samples, and curved samples. The EMI method applied to the flat coupons showed some relation of the frequency shift to the level of contamination. For the curved samples, there was insufficient sensitivity to differentiate distinct levels of contamination, while for scarfed samples in most cases both detection and distinction were possible. The LASAT method gave good results for the coupon samples, which were also in accordance with the results of the $${\text{G}}_{\text{IC}}$$ G IC and $${\text{G}}_{\text{IIC}}$$ G IIC tests. For coupon samples with multiple contaminations, we obtained results with varying significance. In the case of NUS, the measurements revealed an increase in nonlinearity affected by contamination at the interphase between the CFRP adherend and the adhesive layer for the majority of scenarios comprising single contamination of flat coupons and scarfed samples. The effect of multiple contaminations was a decrease in nonlinearity for the curved samples.
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Amadou, Zakou. "Agropastoralists’ Climate Change Adaptation Strategy Modeling: Software and Coding Method Accuracies for Best-Worst Scaling Data." In African Handbook of Climate Change Adaptation, 1631–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_129.

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AbstractInvestigating software and coding method accuracies are still a challenge when dealing with best-worst scaling data. Comparing various climate change policy estimates and their relative importance across different statistical packages has received little attention. In this chapter, we use best-worst scaling approach to determine agropastoralist preferences for 13 climate change adaptation policies across two popular statistical packages (R and SAS). While data were collected from 271 agropastoralists, mixed logit was used to analyze data. Results reveal that mean and standard deviation estimates for 13 climate change adaptation policies from R are higher and statistically significant than SAS estimates. Based on R estimates, prolific animal selection, vaccination, settlement, strategic mobility, and strategic destocking are the most popular climate change adaptation policies, and more than two-third of respondents are in favor of these policies.
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"Methods for Assessing Relative Importance in Preference Based Outcome Measures." In Individual Quality of Life, 147–62. Psychology Press, 2013. http://dx.doi.org/10.4324/9780203727102-18.

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Gangwar, Hemlata. "Big Data Adoption." In Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management, 138–71. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2235-6.ch007.

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This study inspects how big data is comprehended by IT experts and the difficulties that they have in respect to the reception of big data examination. The study also looks into the contributing factors of big data adoption within the manufacturing and services sectors in India. The data were analyzed using exploratory and confirmatory factor analyses, and relevant hypotheses were derived and tested by SEM analysis. The findings revealed that relative advantage, compatibility, complexity, organizational size, top management support, competitive pressure, vendor support, data management, and data privacy are the factors that are important for both industries. Through a comparison of the industries, statistically significant differences between the service and the manufacturing sectors were found; in other words, it has been noted that the relative importance of all factors for big data adoption differs between the industries, with the only exception being its complexity – it was found to be insignificant for the manufacturing sector.
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Harun, Zuraini, and Farzana Parveen Tajudeen. "Instagram as a Marketing Tool for Small and Medium Enterprises." In Research Anthology on Small Business Strategies for Success and Survival, 771–84. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9155-0.ch038.

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Technological changes have transformed traditional marketing methods. Instagram is one of the social media platforms which enables companies to reach their target groups of customers by means of a visual approach. Instagram is a popular social media application among Malaysians. With the growing popularity of Instagram and its potential to help businesses, this study aims to investigate the Instagram adoption among Malaysian small and medium enterprises (SMEs). A survey method was used to collect data. The results of the study found that relative advantage and collaboration are the significant dimensions influencing the adoption of Instagram. The study also found technology strategy as a significant moderator between relative advantage, interactiveness, collaboration, and Instagram adoption among SMEs. This study enhances the current knowledge on social media especially highlights the importance of Instagram as an excellent tool for marketing.
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Mat Kasim, Maznah. "On the Practical Consideration of Evaluators’ Credibility in Evaluating Relative Importance of Criteria for Some Real-Life Multicriteria Problems: An Overview." In Multicriteria Optimization - Pareto-Optimality and Threshold-Optimality. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92541.

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A multicriteria (MC) problem usually consists of a set of predetermined alternatives or subjects to be analyzed, which is prescribed under a finite number of criteria. MC problems are found in various applications to solve various area problems. There are three goals in solving the problems: ranking, sorting or grouping the alternatives according to their overall scores. Most of MC methods require the criteria weights to be combined mathematically with the quality of the criteria in finding the overall score of each alternative. This chapter provides an overview on the practical consideration of evaluators’ credibility or superiority in calculating the criteria weights and overall scores of the alternatives. In order to show how the degree of credibility of evaluators can be practically considered in solving a real problem, a numerical example of evaluation of students’ academic performance is available in the Appendix at the end of the chapter. The degree of credibility of teachers who participated in weighting the academic subjects was determined objectively, and the rank-based criteria weighting methods were used in the example. Inclusion of the degree of credibility of evaluators who participated in solving multicriteria problems would make the results more realistic and accurate.
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Conference papers on the topic "Relative importance methods"

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Jin, Ying, Naren Ramakrishnan, Lenwood S. Heath, and Richard F. Helm. "USING RELATIVE IMPORTANCE METHODS TO MODEL HIGH-THROUGHPUT GENE PERTURBATION SCREENS." In Proceedings of the CSB 2008 Conference. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2008. http://dx.doi.org/10.1142/9781848162648_0020.

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Harris, Jeff, Barton L. Smith, and Brandon Wilson. "Investigation of Relative Importance of Some Error Sources in Particle Image Velocimetry." In ASME 2012 Fluids Engineering Division Summer Meeting collocated with the ASME 2012 Heat Transfer Summer Conference and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/fedsm2012-72442.

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Several error sources are analyzed for 2-component PIV, including: calibration, magnification variation, perspective, resolution, and the correlation algorithm noise floor. Several of these error sources are compared with previously published estimates. New experimental data and methods for measuring the contribution of each source to velocity uncertainty are presented. The calibration uncertainty on the velocity measurement was found to be small (so long as reasonable care is taken in the calibration) and independent of the calibration target for a 2-component PIV setup. The perspective error and magnification variation were both calculated and experimentally found to be small. The light sheet thickness only has an effect when the thickness is greater than 1% of the distance from the light sheet to the camera lens plane. The spatial resolution may be so coarse as to not capture the smaller eddies in the flow, thus attenuating the measured fluctuations. The noise floor was found to contribute significantly to the uncertainty in the velocity measurements in sub-pixel displacement.
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Hudson, Timothy, and Peter Hudson. "Famous Barriers Within the Bowtie Levels Analysis: Creating Middle and Senior Management Understanding About the Relative Importance of Management Activities. Providing Mathematical Methods." In SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability. Society of Petroleum Engineers, 2020. http://dx.doi.org/10.2118/199424-ms.

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Sorokes, James M., and Jason A. Kopko. "High Inlet Relative Mach Number Centrifugal Compressor Impeller Design." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27864.

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This document presents an overview of impeller inlet relative Mach number, how the parameter is calculated, and its importance as an indicator of impeller performance. Comments are also offered regarding the comparison of inlet relative Mach numbers obtained from different compressor vendors. A sample impeller is used to illustrate the various methods used to calculate the inlet relative Mach number. Test data for that impeller is also offered to indicate the performance map achievable with high Mach number designs. Please note that this document is not intended to be an all-inclusive treatment of the subject; rather, it summarizes the OEM’s methodologies and perspective.
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Critchley, James H., and Kurt S. Anderson. "On Parallel Methods of Multibody Dynamics." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48317.

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Optimal time efficient parallel computation methods for large multibody system dynamics are defined and investigated in detail. Comparative observations are made which demonstrate significant deficiencies in operating regions of practical importance and a new parallel algorithm is generated to address them. The new method of Recursive Coordinate Reduction Parallelism (RCRP) outperforms or directly reduces to the fastest general multibody algorithms available for small parallel resources and obtains “O(logk(n))” time complexity in the presence of larger parallel arrays. Performance of this method relative to the Divide and Conquer Algorithm is illustrated with an operations count for the worst case of a multibody chain system.
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Heroux-Vaillancourt, Mikael, and Catherine Beaudry. "Validation of innovation indicators from companies’ websites." In CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/carma2018.2018.8333.

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In this exploratory study, we use a web mining technique to source data in order to create innovation indicators of Canadian nanotechnology and advanced materials firms. 79 websites were extracted and analysed based on keywords related to the concepts of R&D and intellectual property. To understand what our web mining indicators actually measure, we compare them with those from a classic questionnaire-based survey. Formative indices from the surveys variables were built to better represent all the possibilities resulting from the web mining indicators. A MTMM matrix lead us to conclude that the formative indices are a good representation of the web mining indicators. As a consequence, the data extracted via our web mining technique can be used as proxies for the relative importance of R&D and the importance of IP, which would have previously only been measured using conventional methods such as government administrative data or questionnaire-based surveys.
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Junge, Laura, Graham Ashcroft, Peter Jeschke, and Christian Frey. "On the Application of Frequency-Domain Methods to Multistage Turbomachinery." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-42936.

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Due to the relative motion between adjacent blade rows the aerodynamic flow fields within turbomachinery are normally dominated by deterministic, periodic phenomena. In the numerical simulation of such unsteady flows (nonlinear) frequency-domain methods are therefore attractive as they are capable of fully exploiting the given spatial and temporal periodicity, as well as capturing or modelling flow nonlinearity. Central to the efficiency and accuracy of such frequency-domain methods is the selection of the frequencies and the circumferential modes to be resolved in simulations. Whilst trivial in the context of the simulation of a single compressor- or turbine-stage, the choice of solution modes becomes substantially more involved in multi-stage configurations. In this work the importance of mode scattering, in the context of the unsteady aerodynamic field, is investigated and quantified. It is shown that scattered modes can substantially impact the unsteady flow field and are essential for the accurate modelling of wake propagation within multistage configurations. Furthermore, an iterative approach is outlined, based on the spectral analysis of the circumferential modes at the interfaces between blade rows, to identify the dominant solution modes that should be resolved in the adjacent blade row. To demonstrate the importance of mode scattering and validate the approach for their identification the unsteady blade row interaction within a 4.5 stage axial compressor is computed using both the harmonic balance method and, based on a full annulus midspan simulation, a time-domain method. Through the inclusion of scattered modes it is shown that the solution quality of the harmonic balance results is comparable to that of the nonlinear time-domain simulation.
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Perkins, Lucy E., and Brooke N. Steele. "Comparison of Methods for RCR Component Selection From Computational Model Impedance Spectra." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206533.

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Vascular impedance represents the opposition to periodic blood flow though a network of vessels and is a good choice for use as a boundary condition for hemodynamic modeling. Vascular impedance can be computed using electrical analogs, such as two or three element Windkessel models, or computed from geometry using Womersley’s input impedance equations [3]. The challenges associated with using electrical analogs are the need for experimental data to determine appropriate component values and in determining an appropriate methodology to fit the experimental data to the simplified model. The challenges associated with using a geometry-based method are the necessity of knowing the geometry being modeled and the requirement of a periodic solution. While Windkessel models are routinely used in analyses, little detail is provided as to how these R and C parameters are extracted from the impedance spectra. Therefore, we examine the relative importance of matching different characteristics of impedance spectra to the resulting pressure and flow relationships.
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Peters, Onno A. J., and René H. M. Huijsmans. "Reducing Relative Horizontal Motion Between Cargo and HTV During Offshore Loading and Discharge." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61311.

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In Heavy Marine Transport it is common practice to dry-transport large and heavy floating offshore structures. In general, loading and discharge of these floating cargoes on- and from heavy transport vessels is done at sheltered locations like harbors where sea-state and swell conditions are insignificant. Often these locations are at large distance from operating fields of the offshore structures, which means that the structures need to be towed from- or to these fields. To save time and costs, it is beneficial to perform the loading and discharge operations in the field. This necessitates a reconsideration of the maximum allowable wave condition such as to perform the loading- and discharge operations within specified time frame whilst ensuring safety of crew, cargo and heavy transport vessel. Since precise positioning of the cargo on the HTV cribbing beams is of importance to support the cargo on its structural strong points, the allowed relative horizontal motion during loading or discharge operations is limited to a fraction of the width of these cribbing beams. When increasing the maximum allowable wave conditions, relative horizontal motions between heavy transport vessel and cargo easily exceed these limits if only the standard handling equipment is used. Also, the loads in the handling equipment may exceed safe limits. This paper presents two methods including complementary equipment to reduce- and limit the relative horizontal motions. The first method is based on increasing the stiffness of the connection between cargo and heavy transport vessel. This means that there is a transition from a soft (standard handling) system with a low natural frequency to a stiff (clamping) system with high natural frequency. During this transition the system natural frequency will coincide with the wave frequent excitation force. Resonant behavior during the transition is avoided as the complementary equipment also employs a damping force. The second method is based on a closed-loop controller applied to the desired relative horizontal position. The resulting desired load to control the relative horizontal motion is then allocated to several line tension actuators. Contradictory to well-known Dynamic Positioning systems which control low frequent motions, motion control during offshore loading and discharge is performed on wave frequent behavior. This implies that the line tension actuators also need to deliver loads within a wave frequent time-frame. In fact, the peak tension needs to be obtained within a quarter of a wave period. System design and simulation results are presented. Depending on the cargo type, different solutions and operational aspects are discussed. Simulations are done for a typical cargo where both methods to reduce the relative horizontal motions are utilized.
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De Ruyck, J., and Ch Hirsch. "A Radial Mixing Computation Method." In ASME 1988 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1988. http://dx.doi.org/10.1115/88-gt-68.

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A radial mixing calculation method is presented where both convective and turbulent mixing processes are included. The secondary flows needed for the convective mixing are derived from pitch averaged vorticity equations combined with integral methods for the 3D end-wall boundary layers, 3D profile boundary layers and 3D asymmetric wakes. The convective transport due to secondary flows is computed explicitly. The method is applied to a cascade and two single stage rotors. The three test cases show a very different secondary flow behaviour which allows the analysis of the relative importance of the different secondary flow effects. Turbulent diffusion is found to be the most important mixing mechanism, whereas convective mixing becomes significant when overall radial velocities exceed about 5% of the main velocities. The wake diffusion coefficient is found to be representative for the turbulent radial mixing and is the only empirical constant to be determined.
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Reports on the topic "Relative importance methods"

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Hamm, Robert M. Evaluation of Relative Importance Judgment Methods in the Context of Causal Prediction. Fort Belvoir, VA: Defense Technical Information Center, August 1992. http://dx.doi.org/10.21236/ada255718.

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Schnabel, Filipina, and Danielle Aldridge. Effectiveness of EHR-Depression Screening Among Adult Diabetics in an Urban Primary Care Clinic. University of Tennessee Health Science Center, April 2021. http://dx.doi.org/10.21007/con.dnp.2021.0003.

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Background Diabetes mellitus (DM) and depression are important comorbid conditions that can lead to more serious health outcomes. The American Diabetes Association (ADA) supports routine screening for depression as part of standard diabetes management. The PHQ2 and PHQ9 questionnaires are good diagnostic screening tools used for major depressive disorders in Type 2 diabetes mellitus (DM2). This quality improvement study aims to compare the rate of depression screening, treatment, and referral to behavioral health in adult patients with DM2 pre and post-integration of depression screening tools into the electronic health record (EHR). Methods We conducted a retrospective chart review on patients aged 18 years and above with a diagnosis of DM2 and no initial diagnosis of depression or other mental illnesses. Chart reviews included those from 2018 or prior for before integration data and 2020 to present for after integration. Sixty subjects were randomly selected from a pool of 33,695 patients in the clinic with DM2 from the year 2013-2021. Thirty of the patients were prior to the integration of depression screening tools PHQ2 and PHQ9 into the EHR, while the other half were post-integration. The study population ranged from 18-83 years old. Results All subjects (100%) were screened using PHQ2 before integration and after integration. Twenty percent of patients screened had a positive PHQ2 among subjects before integration, while 10% had a positive PHQ2 after integration. Twenty percent of patients were screened with a PHQ9 pre-integration which accounted for 100% of those subjects with a positive PHQ2. However, of the 10% of patients with a positive PHQ2 post-integration, only 6.7 % of subjects were screened, which means not all patients with a positive PHQ2 were adequately screened post-integration. Interestingly, 10% of patients were treated with antidepressants before integration, while none were treated with medications in the post-integration group. There were no referrals made to the behavior team in either group. Conclusion There is no difference between the prevalence of depression screening before or after integration of depression screening tools in the EHR. The study noted that there is a decrease in the treatment using antidepressants after integration. However, other undetermined conditions could have influenced this. Furthermore, not all patients with positive PHQ2 in the after-integration group were screened with PHQ9. The authors are unsure if the integration of the depression screens influenced this change. In both groups, there is no difference between referrals to the behavior team. Implications to Nursing Practice This quality improvement study shows that providers are good at screening their DM2 patients for depression whether the screening tools were incorporated in the EHR or not. However, future studies regarding providers, support staff, and patient convenience relating to accessibility and availability of the tool should be made. Additional issues to consider are documentation reliability, hours of work to scan documents in the chart, risk of documentation getting lost, and the use of paper that requires shredding to comply with privacy.
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