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Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

Information processes in stochastic models for strategic thinking operations

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pp. 121–129Vol. 45Issue 1January 2024DOI: 10.47974/JIOS-1341XML
Received:
05 Apr 2022
Published Online:
29 Jan 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1341
Pages:
121–129

Abstract

It constitutes a particularly valuable adoption that the family of infinitely divisible distributions is frequently employed as a very suitable choice for investigating theoretical and practical properties of structural probabilistic concepts. In particular, this family is valuable in construction and study of mathematical expressions, or equivalently stochastic models, with extensive practical applicability. The present paper focuses on the development and investigation of a stochastic model by making use of the extremely useful concept of infinitely divisibility. In addition, the paper offers an application of the introduced mathematical expressions in making realistic decisions in the extremely important area of various information processes.

Keywords

Subject Classifications

(2020) 60E1060H0590B5097K60

References

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