Abstract
In this paper we deal with interdependent multiple criteria, i.e. we will explore the possibilities to find optimal solutions to problems in which the criteria for optimality are (i) conflicting, (ii) mutually supportive or (iii) unilaterally supportive, and in which subsets of criteria form combinations of (i)-(iii). We propose an algorithm for rank-ordering fuzzy nondominated alternatives, and demonstrate how it could be implemented in a DSS; the paper is an extension of some previously published results (cf [1], [2], [3], [4]).
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© 1993 Springer Science+Business Media Dordrecht
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Carlsson, C. (1993). On Optimization with Interdependent Multiple Criteria. In: Lowen, R., Roubens, M. (eds) Fuzzy Logic. Theory and Decision Library, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2014-2_27
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DOI: https://doi.org/10.1007/978-94-011-2014-2_27
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4890-3
Online ISBN: 978-94-011-2014-2
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