Abstract
The theoretical foundations of the quantified modification of the classical morphological analysis method—an efficient method for processing uncertain objects with a multitude of possible configurations, are given. The method’s place, role, and applications in scenario analysis problems are discussed; types of objects and related uncertainties which the method processes most efficiently, are described. A detailed step-by-step algorithm for the method is given, including main definitions, several procedures involving expert estimation for obtaining input values, the introduction of a numerical cross-consistency matrix, and its significance, several variants of procedures for computing estimates for the alternatives. A two-stage modified morphological method procedure and its multi-stage extensions (networks of morphological tables), aimed at decision-making support for complex systems involving several entities with uncertainties, are presented. A short review of the authors’ software used for solving modified morphological analysis problems is given.
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Pankratova, N., Haiko, H., Savchenko, I. (2024). Modified Morphological Analysis Method. In: Modeling the Underground Infrastructure of Urban Environments. The Urban Book Series. Springer, Cham. https://doi.org/10.1007/978-3-031-47522-1_3
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