Multi Criteria Decision Analysis Via Ratio And Difference Judgement
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Multi-Criteria Decision Analysis via Ratio and Difference Judgement
Author: Freerk A. Lootsma
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-08-23
The point of departure in the present book is that the decision makers, involved in the evaluation of alternatives under conflicting criteria, express their preferential judgement by estimating ratios of subjective values or differences of the corresponding logarithms, the so-called grades. Three MCDA methods are studied in detail: the Simple Multi-Attribute Rating Technique SMART, as well as the Additive and the Multiplicative AHP, both pairwise-comparison methods which do not suffer from the well-known shortcomings of the original Analytic Hierarchy Process. Context-related preference modelling on the basis of psycho-physical research in visual perception and motor skills is extensively discussed in the introductory chapters. Thereafter many extensions of the ideas are presented via case studies in university administration, health care, environmental assessment, budget allocation, and energy planning at the national and the European level. The issues under consideration are: group decision making with inhomogeneous power distributions, the search for a compromise solution, resource allocation and fair distributions, scenario analysis in long-term planning, conflict analysis via the pairwise comparison of concessions, and multi-objective optimization. The final chapters are devoted to the fortunes of MCDA in the hands of its designers. The research started in the late seventies, when I got involved in three different problems: the nomination procedures in a university, the evaluation of alternative energy-research proposals, and the evaluation of non-linear programming software.
Big Data Analytics Using Multiple Criteria Decision-Making Models
Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.
Multi-criteria Analysis in Legal Reasoning
Author: Bengt Lindell
language: en
Publisher: Edward Elgar Publishing
Release Date: 2017-05-26
Providing an accessible introduction to the application of multi-criteria analysis in law, this book illustrates how simple additive weighing, a well known method in decision theory, can be used in problem structuring, analysis and decision support for overall assessments and balancing of interests in the context of law.