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Materias / palabras clave: multiple criteria decision making, data envelopment analysis, topsis; Science: Mathematics: Analysis; Social Sciences: Commerce: Business: Business mathematics. Commercial arithmetic. Including tables, etc

Integra conocimiento mediante modelos basados en árboles de decisión.

Materias / palabras clave: computer science, decision theory, operation research, data mining, knowledge discovery; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Decisions involve many intangibles that need to be traded off. To do that, they have to be measured along side tangibles whose measurements must also be evaluated as to, how well, they serve the objectives of the decisio...

Expected utility theory has dominated the analysis of decision making under risk. It has been generally accepted as a normative model of rational choice (Keeney and Raiffa, 1976), and widely applied as a descriptive mode...

Materias / palabras clave: Boosting (machine learning); Multiplicative function; Bounded function; Computer science; Generalization; Mathematical optimization; Decision rule; Artificial intelligence; Mathematics; Machine learning; Algorithm; Mathe...

Materias / palabras clave: Analytic hierarchy process; Computer science; Hierarchy; Management science; Analytic network process; Decision analysis; Decision theory; Process (computing); Operations research; Mathematics; Mathematical economics; En...

Materias / palabras clave: Variety (cybernetics); Computer science; Decision tree; Machine learning; ID3; Inference; Inductive reasoning; Artificial intelligence; ID3 algorithm; Management science; Decision tree learning; Incremental decision tree

This latest Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) will again form the standard scientific reference for all those concerned with climate change and its consequences, including st...

Statistical guidelines and expert statements are now available to assist in the analysis and reporting of studies in some biomedical disciplines. We present here a more progressive resource for sample-based studies, meta...

The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways. Re...

A groundbreaking discussion of how we can apply the new science of to nudge people toward decisions that will improve their lives by making them healthier, wealthier, and more free Every day, we make decisions on topics ...

This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both the historical basis of the field and a broad...

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, p...

This paper focuses on dynamic capabilities and, more generally, the resource-based view of the firm. We argue that dynamic capabilities are a set of specific and identifiable processes such as product development, strate...

Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image be a photomicrograph, an aerial photograph, or a satellite image. This paper describes som...

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science a...

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solvin...

Exploratory factor analysis (EFA) is a complex, multi-step process. The goal of this paper is to collect, in one article, information that will allow researchers and practitioners to understand the various choices availa...

How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the beha...

The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points. This rule is independent of the underlying joint distribution on the ...

In an industrial maintenance context, degradation diagnosis is the problem of determining the current level of degradation of operating machines based on measurements. With the emergence of Machine Learning techniques, s...

The PRISMA 2020 statement includes a checklist of 27 items to guide reporting of systematic reviews In this article we explain why reporting of each item is recommended, present bullet points that detail the reporting re...