Uncertainty in dynamically changing input data

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The main objective of multiple criteria decision making models is to select an alternative, from a finite number, regarding a set of pre-defined criteria. Usually, this type of problems includes two main tasks, rating the alternatives regarding each criterion and then ranking them. Once a decision is made (alternative selected) the problem is solved. However, for situations involving reaching consensus or requiring several steps before reaching a final decision, we must consider a dynamic and adaptable decision model, which considers previous solutions. In this work we introduce multiple criteria dynamic decision making models (MCDDM) and discuss contributions to deal with the difficult problem of imprecision in dynamically changing input data. To illustrate the approach, a simplified example of autonomous spacecraft landing is presented.
Original languageUnknown
Title of host publicationComputational Intelligence in Complex Decision Systems (2010)
EditorsDa Ruan
PublisherWorld Scientific
Pages47-66
Volume2
ISBN (Print)9789078677277
Publication statusPublished - 1 Jan 2010

Publication series

NameAtlantis Computational Intelligent Systems
PublisherWorld Scientific

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