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March 29, 2026Baghdad Science Journal0 citationsOpen Access

Using the Karush-Kuhn-Tucher Optimization Method on a Finite Fuzzy Markov Chain

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MJMarwan S. JameelZAZeiad Yahya Ali AllaweeRARana Z Al-Kawaz

Key Points

  • This research aims to assess the stability of finite fuzzy Markov chains using the Karush-Kuhn-Tucker (KKT) optimization method.
  • Evaluated KKT optimization techniques with random transition probabilities replaced by fuzzy values.
  • Modelled dependability vectors using KKT optimization in fuzzy 3 × 3 transition matrices.
  • Incorporated additional criteria into the fuzzy transition matrices to enhance adaptability.
  • Proved unique properties for power bounds of a 3 × 3 fuzzy transition matrix.
  • Enhanced adaptability in behavior was achieved through the proposed optimization techniques.
  • Analyzed the exchange rate of the Iraqi dinar against the US dollar over two months to validate findings.

Abstract

It is highly interesting to explore the implications of Markov chain stability because its importance in engineering, dynamic systems, energy subject and decision-making issues. This paper deals with a method to assess the stability of Markov chains, finishing our notes in finite fuzzy Markov chains. The optimization of KKT was evaluated in two approaches: a. For one thing, optimized KKT methods substitute the random transition probability with a fuzzy value in the transition matrix. The problem illustrates the efficacy of method in proving the unique properties for power bounds of a 3 × 3 matrix depending where on this it lies. This transition matrix defines a fuzzy link within an essentially constrained state space. The second attempt was to model the problem of computing dependability vector by the proposed optimization technique. Additional components were successfully incorporated criteria into fuzzy 3 × 3 transition matrices via KKT optimization techniques. This enhanced the adaptability of the behavior. The model determined that ability constituted an optimization problem. This applicable feature involves the collection of data, namely the exchange rate of the Iraqi dinar against the US dollar as established by the Central Bank of Iraq for the period from October 1, 2023, to December 1, 2023. Data was evaluated, results were derived to fulfill the study objective, and suggestions were formulated based on the findings.

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Cite This Study

Jameel et al. (2026) studied this question.

synapsesocial.com/papers/69c8c195de0f0f753b39be58https://doi.org/10.21123/2411-7986.5247
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