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Title:
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IMPRECISE KNOWLEDGE MANAGEMENT IN DECISION MAKING PROBLEMS |
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Author(s):
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A. Mateos , A. Jiménez , S. Ríos-insua |
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ISBN:
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972-8924-16-X |
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Editors:
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Pedro Isaías, Maggie McPherson and Frank Bannister |
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Year:
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2006 |
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Edition:
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2 |
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Keywords:
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Decision Analysis, Multi-Attribute Utility, Imprecise Inputs, Dominance, Potential Optimality. |
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Type:
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Short Paper |
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First Page:
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329 |
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Last Page:
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333 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper shows a methodology based on an additive multiattribute utility function that does not call for precise
estimations of the utilities, attribute weights and performances of decision alternatives. The information about such inputs
is assumed to be in the form of ranges, which constitute model constraints and give rise to nonlinear programming
problems. This has significant drawbacks for outputting the sets of non-dominated and potentially optimal alternatives for
such problems, and we, therefore, propose their transformation into equivalent linear programming problems. The set of
non-dominated and potentially optimal alternatives is a non-ranked set and can be very large, which makes the choice of
the most preferred alternative very difficult. This problem is solved by proposing a method for alternative ranking. An
application to the disposal of surplus weapons-grade plutonium is considered, showing the advantages of this approach. |
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