Applied econometric forecasting and policy analysis
In: Arquivo do Instituto Gulbenkian de Ciência. B: Estudos de economia e finanças v. 2, no. 2
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In: Arquivo do Instituto Gulbenkian de Ciência. B: Estudos de economia e finanças v. 2, no. 2
In: Mathematical social sciences, Band 9, Heft 2, S. 195
In: Advances in decision sciences, Band 2013, S. 1-9
ISSN: 2090-3367
The primary goal of research in multiple criteria decision analysis is to develop tools to help people make more reasonable decisions. In many cases, the development of such tools requires the combination of knowledge derived from such areas as applied mathematics, cognitive psychology, and organizational behavior. Verbal Decision Analysis (VDA) is an example of such a combination. It is based on valid mathematical principles, takes into account peculiarities of human information processing system, and fits the decision process into existing organizational environments. The basic underpinnings of Verbal Decision Analysis are demonstrated by early VDA methods, such as ZAPROS and ORCLASS. New trends in their later modifications are discussed. Published applications of VDA methods are presented to support the findings.
In: Sustainable Land Development and Restoration, S. 87-109
In: Sustainable Land Development and Restoration, S. 75-85
In: The Canadian Journal of Economics, Band 12, Heft 1, S. 107
In: Supervision: Mensch, Arbeit, Organisation : Zeitschrift für Beraterinnen und Berater, Band 40, Heft 1, S. 61-62
ISSN: 2699-2043
In: Futures, Band 19, Heft 5, S. 566-573
In: Futures: the journal of policy, planning and futures studies, Band 19, Heft 5, S. 566
ISSN: 0016-3287
In: The Economic Journal, Band 97, Heft 386, S. 506
In: Canadian Journal of Sociology / Cahiers canadiens de sociologie, Band 10, Heft 2, S. 209
In: Risk analysis: an international journal, Band 40, Heft S1, S. 2207-2217
ISSN: 1539-6924
AbstractIn commemorating the 40th anniversary of Risk Analysis, this article takes a retrospective look at some of the ways in which decision analysis (as a "sibling field") has contributed to the development both of the journal, and of risk analysis as a field. I begin with some early foundational papers from the first decade of the journal's history. I then review a number of papers that have applied decision analysis to risk problems over the years, including applications of related methods such as influence diagrams, multicriteria decision analysis, and risk matrices. The article then reviews some recent trends, from roughly the last five years, and concludes with observations about the parallel evolution of risk analysis and decision analysis over the decades—especially with regard to the importance of representing multiple stakeholder perspectives, and the importance of behavioral realism in decision models. Overall, the extensive literature surveyed here supports the view that the incorporation of decision‐analytic perspectives has improved the practice of risk analysis.