Using least squares and tobit in second stage DEA efficiency analyses

Multiple criteria decision-making (MCDM) is considered as a complex decision-making (DM) tool involving both quantitative and qualitative factors. In recent years, several MCDM techniques and approaches have been suggested to choosing the optimal probable options. The purpose of this article is to systematically review the applications and methodologies of the MCDM techniques and approaches. This study reviewed a total of 393 articles published from 2000 to 2014 in more than 120 peer reviewed journals (extracted from Web of Science). According to experts’ opinion, these articles were grouped into 15 fields. Furthermore, these articles were categorised based on authors, publication date, name of journals, methods, tools, and type of research (MCDM utilising research, MCDM developing research, and MCDM proposing research). The results of this study indicated that in 2013 scholars have published articles more than in other years. In addition, the analytic hierarchy process (AHP) method in the individual tool...

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Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.

Business Intelligence: Data Mining and Optimization for Decision Making

This chapter begins with a brief discussion of variations in productive efficiency using airlines as an example. It then presents the main purpose of the book, which is to study inefficiency in production and its impact on economic and financial performance. The chapter then provides background material and focuses on hypotheses that have been proposed in literature that would explain variation in producer performance; lays the theoretical foundation for the measurement of productive efficiency; offers a brief introduction to alternative techniques that have been developed to quantify inefficiency empirically; introduces various econometric approaches to efficiency estimation; introduces variants of the mathematical programming approach to efficiency estimation; introduces the Malmquist productivity index and shows how to decompose it into various sources of productivity change, including variation in productive efficiency; and describes three ways of approximating a Malmquist productivity index: the use of superlative index numbers, the use of econometric techniques, and the use of mathematical programming techniques. An overview of the succeeding chapters is also presented

Efficiency and productivity

Making forestry decisions with multiple criteria: A review and an assessment

A system in which data for controlling amounts of ink for a number of printing machines, having a variety of printing plates, are measured with one measuring device. This invention provides a printing image area measuring device which can detect a printing image area with high accuracy even if the surface of a printing plate is uneven, which device is simple in construction, low in manufacturing cost and high in measurement accuracy, and which can provide in-line automatic measurement in a printing line.

Renato De Leone

Papers

Data Envelopment Analysis