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Pruning of decision alternatives in multiple criteria decision making,based on the Uta method for estimating utilities
Affiliation:1. Centro de Informática, Universidade Federal de Pernambuco, Brazil;2. École de Technologie Supérieure, Université du Québec, Brazil;1. Department of Computer Science, University of Blida, Algeria;2. Design of Intelligent Machines Group, Centre de recherche des technologies avancées, Algeria;1. Departamento de Automática y Computación, Universidad Pública de Navarra, 31006, Pamplona, Spain;2. Department of Computer Science, University of Jaén, 23071, Jaén, Spain;3. Department of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain;4. Faculty of Computing and Information Technology - North Jeddah, King Abdulaziz University, 21589, Jeddah, Saudi Arabia;5. Institute of Smart Cities (ISC), Universidad Pública de Navarra, 31006, Pamplona, Spain
Abstract:A new interactive method for the progressive elimination of elements from a finite set of decision alternatives is proposed. A sequence of alternatives is presented to the decision maker, who places each new alternative presented in rank order relative to the earlier alternatives evaluated. This ranking of elements in a subset of the decision space is used to eliminate other alternatives from further consideration. The approach is broadly based on the UTA method for utility assessment. The emphasis is not, however, on assessing a utility function as such; instead the class of utility functions is used to eliminate elements of the decision space, when the optimality of such elements is inconsistent with the presumed properties of the utility function and the rank orderings given. In this way, the decision maker need only evaluate a relatively small subset of the decision space, before all remaining alternatives are eliminated. The new procedure is illustrated by two numerical examples.
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