A Method of Multiattribute Decision Making with Incomplete Information

Martin Weber

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Multi-Criteria Decision Making Decision-Making and Behavioral Economics Decision Support System Applications

Abstract

A precise determination of a multiattribute utility function of a decision maker or a group of decision makers requires considerable information that may not be available in many decision situations. In this paper the method HOPIE, which allows one to determine a set of utility functions consistent with the incomplete information received from the decision maker, is proposed. The method is based on holistic judgments of hypothetical alternatives defined by a certain factorial design. It requires that the evaluation of the alternatives be given on an interval scale. The method can also accommodate other types of additional information such as pairwise comparisons.

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References

1978Conjoint Analysis in Consumer Research: Issues and Outlook 1982Assessing a set of additive utility functions for multicriteria decision-making, the UTA method 1962Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments 1979Measurable Multiattribute Value Functions 1985Ranking with Partial Information: A Method and an Application 1962Symmetrical and Asymmetrical Fractional Factorial Plans 1986Partial Information, Dominance, and Potential Optimality in Multiattribute Utility Theory

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2019Extended VIKOR method using incomplete criteria weights 1992Choosing The “Best” Multiple Criterlv Decision-Making Method 2001Establishing dominance and potential optimality in multi-criteria analysis with imprecise weight and value 2021Weight watchers: NASA-TLX weights revisited 1997Establishing strict dominance between alternatives with special type of incomplete information 2002Sequential incorporation of imprecise information in multiple criteria decision processes

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