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Some Mathematical and Practical Aspects of Decision-Making Based on Similarity

Part of the Lecture Notes in Computer Science book series (LNISA,volume 11786)

Abstract

One type of decision-making processes, which is often applied, based on the similarity of situations and developments. This study examines some approaches to addressing the similarities of situations and developments, including structural similarity and descriptive similarity. Structural similarity and descriptive similarity have been linked in many ways. One of these ways is based on theorems proven in algebraic systems and universal algebra theories. The authors point out that in order to assess two sets of descriptive similarity, it is first necessary to make descriptions of both sets, which must consist of relevant statements. The application of descriptive similarity in the process of managing the development of public transport systems in small towns in Estonia and Ukraine is considered. The authors presented the algorithm of decision-making process’ method. The approach how to apply the descriptive similarity between Estonian small towns and their public transport systems, and the small town of Ostroh from Ukraine is proposed. Some concrete examples and derived preliminary conclusions is presented.

Keywords

  • Situations and developments as systems
  • Types of systems similarity
  • Structural similarity
  • Descriptive similarity
  • Numerical evaluation of descriptive similarity
  • Comparison of plausibility based on numerical estimates of similarity
  • Evaluation of the descriptive similarity
  • Public transport systems in the cities surveyed

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Correspondence to Peeter Lorents or Maryna Averkyna .

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Lorents, P., Averkyna, M. (2019). Some Mathematical and Practical Aspects of Decision-Making Based on Similarity. In: Stephanidis, C. (eds) HCI International 2019 – Late Breaking Papers. HCII 2019. Lecture Notes in Computer Science(), vol 11786. Springer, Cham. https://doi.org/10.1007/978-3-030-30033-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-30033-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30032-6

  • Online ISBN: 978-3-030-30033-3

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