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Abstract
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| We introduce a dominance measuring method to derive a ranking of alternatives to deal with incomplete information in multi-criteria decision-making problems on the basis of multi-attribute utility theory (MAUT) and fuzzy sets theory. We consider the situation where the alternative performances are represented by intervals and there exists imprecision concerning the decision-makers¿ preferences, leading to classes of component utility functions and trapezoidal fuzzy weights. An additive multi-attribute utility model is used to evaluate the alternatives under consideration. The approach we propose is based on the dominance values between pairs of alternatives that can be computed by linear programming. These values are then transformed into dominance intensities from which a dominance intensity measure is derived. The performance of the proposed method is analyzed using MonteCarlo simulation techniques. | |
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International
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Si |
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Book Edition
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0 |
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Book Publishing
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ISBN
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978-1-4244-5770-0 |
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Series
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Book title
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Keynotes and Extended Abstracts of the Operations Research Society Conference |
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From page
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1 |
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To page
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15 |