Incorporating Random Contractions in Decision Support Systems for Facilitating Synergies of Proactivity and Extremity

Authors

  • Panagiotis T. Artikis Laboratory of Informatics Section of Mathematics and Informatics Department of Primary Education, University of Athens Athens
  • Constantinos T. Artikis Department of Tourism, Faculty of Economic Sciences, Ionian University Corfu

DOI:

https://doi.org/10.26713/jims.v12i1.1224

Keywords:

Stochastic model, Random contraction, Random maximum, Continuous uniform cash flow, Synergy, Extremity, Proactivity, Information, Intelligent system

Abstract

The paper formulates a stochastic model by introducing the present value of a continuous uniform cash flow, with rate of payment and duration being random and force of interest being constant, in the maximum of a random number of positive random variables. The paper also provides an interpretation and practical applications of the stochastic model. Moreover, the paper establishes sufficient conditions for the representation of the stochastic model as the maximum of a random number of random contractions. In addition, the paper makes clear that the structural elements, the principal components, and the mathematical form of the stochastic model facilitate the development of synergies between the concepts of extremity, proactivity, and information for supporting intelligent systems.

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References

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Published

2020-03-31
CITATION

How to Cite

Artikis, P. T., & Artikis, C. T. (2020). Incorporating Random Contractions in Decision Support Systems for Facilitating Synergies of Proactivity and Extremity. Journal of Informatics and Mathematical Sciences, 12(1), 69–81. https://doi.org/10.26713/jims.v12i1.1224

Issue

Vol. 12 No. 1 (2020)

Section

Research Articles

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