Rational Analysis For A Problematic World Revisited
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Rational Analysis for a Problematic World Revisited
Now, more than ever, planning and managing in the real world is beset by change and uncertainty. Knowledge is incomplete, values are in dispute, decisions of others are often unpredictable. Sheathed in opaque technicalities, inflexible and over-ambitious, the highly mathematical methods of analysing problem situations are no longer considered acceptable. In their place a coherent alternative paradigm has emerged- a range of formal methodologies which aim not to produce 'optimal' solutions but to facilitate an enriched decision-making process. 'Low-tech' transparent and participatory, these methods assist in the formulation and reformulation of problem solving in an uncertain world. This fully revised and updated book brings together contributions from some of the great thinkers on this subject. The authors present the most influential methods (each illustrated with a case study), describe the principles on which the method operates, the step and the stages of analysis, and how these methods relate to the decision making process. The concluding section explores future developments and research issues, as well as links with other relevant domains.
Rational Analysis for a Problematic World
An up-to-date overview of a range of methods for structuring decisions and problems, useful for strategic thinking and management. Presents six problem-structuring methodologies in a way that makes it easy to determine if that method is appropriate for a given situation. Covers strategic options development and analysis, soft systems methodology, robustness analysis, metagame analysis, hypergame analysis, and strategic choice, including the analysis of interconnected decision areas.
Multiple Criteria Decision Analysis: State of the Art Surveys
Author: Salvatore Greco
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-01-20
Multiple Criteria Decision Analysis: State of the Art Surveys provides survey articles and references of the seminal or state-of-the-art research on MCDA. The material covered ranges from the foundations of MCDA, over various MCDA methodologies (outranking methods, multiattribute utility and value theories, non-classical approaches) to multiobjective mathematical programming, MCDA applications, and software. This vast amount of material is organized in 8 parts, with a total of 25 chapters. More than 2000 references are listed.