Evaluation and choice of an anti-aircraft missile system under uncertain conditions based on fuzzy-integral calculus and hierarchical cluster analysis

Sergey Sveshnikov (), Victor Bocharnikov () and Yuri Mudrak ()

Operations Research and Decisions, 2024, vol. 34, issue 2, 135-161

Abstract: Evaluation and choice of anti-aircraft missile weapon systems (AAMWSs) are a relevant problem in many countries. Estimates are often reduced to one top-level criterion. This is questionable since subordinated criteria are usually difficult to compare and decision-makers excluded from the final decision. The solution to the problem should also take into account non-statistical uncertainty. We propose to use a combination of two algorithms. The first algorithm calculates the estimates of AAMWSs in the criteria hierarchy using fuzzy-integral calculus. The hierarchy relates the characteristics of the AAMWSs to the three top-level criteria. In the space of these criteria, the second algorithm based on hierarchical clustering forms a class of the best AAMWSs equivalent to each other. The decision-maker makes the final choice from the obtained class, taking into account non-formalized factors. These algorithms are tested using the example of medium-range AAMWSs.

Keywords: evaluation; uncertainty; fuzzy-integral calculus; hierarchical clustering; anti-aircraft missile system (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:34:y:2024:i:2:p:135-161:id:9

DOI: 10.37190/ord240209

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