1,720,958 research outputs found
Multi-Criteria Decision Making: An Overview and a Comparative Discussion
No full textAn attempt to provide an overview of the different techniques in the field of multi-criteria decision-making is made in this chapter. First, some basic terminologies are reviewed. A classification of the various methods is outlined. Some of the basic concepts common to many methods are presented. The methods covered in the overview include the Multi Attribute Utility Theory, the Analytic Hierarchy Process, the ELECTRE methods, PROMETHEE methods, Fuzzy Set Theory, Multi-objective Linear Programming, Goal Programming, the Aspiration-level Interactive Method, Compromise Programming, and Data Envelopment Analysis. The different methods are compared in terms of several vital parameters. Finally, a link to the context of Big Data is provided in line with the theme of this book
Basics of Analytics and Big Data
No full textIn this book chapter, we introduce fundamental concepts of analytics and big data and role of analytic in multi-criteria decision making. Three components of analytics, namely, descriptive, predictive and prescriptive analytics are explained using different applications of these three components. The chapter also introduces big data challenges and technology used for handling big data problems. The primary objective of the chapter is to introduce basic concepts in analytics and big data to the readers
Use of DEA for studying the link between environmental and manufacturing performance
No full textIn this era of big data and business analytics, huge data are available in public domain and it is important for researchers to analyze these data to be able to make business sense to help businesses grow and to help policy makers to obtain useful insights. In this chapter, we first outline various available big data in the public domain that can be used to investigate an important issue in environmental policy: the relationship between environmental expenditure and manufacturing efficiency. We then illustrate how a multicriteria tool, namely the data envelopment analysis (DEA), can be advantageously combined with other statistical models to help study the above relationship. DEA is used to obtain manufacturing efficiency scores of various sectors in the United Kingdom. DEA scores are then combined with further data on pollution abatement expenditure in these sectors. Using previous literature, we hypothesize that there is a positive relationship between environmental expenditure and manufacturing efficiency of sectors, and verify it using sector-level data from the U.K. manufacturing industry. Our study illustrates the use of multicriteria decision-making tools in using publicly available big data for use in public policy analysis.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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