Neutrosophic Probability with Dynamic Temporal Uncertainty (NPTU)

Authors

Bhimraj Basumatary, Department of Mathematical Sciences, Bodoland University, Kokrajhar, IndiaFollow
Ashoke Kumar Brahma, Department of Mathematics, Basugaon College, Basugaon Dist Chirang BTC, Assam, IndiaFollow

Authors' ORCIDs

Bhimraj Basumatary: https://orcid.org/0000-0001-5398-6078

Ashoke Kumar Brahma: https://orcid.org/0000-0003-3165-6355

Article Type

Research Article

Abstract

This paper introduces Neutrosophic Probability with Dynamic Temporal Uncertainty (NPTU), an extension of classical neutrosophic probability that incorporates the dimension of time. In classical neutrosophic probability, the degrees of truth, indeterminacy, and falsity are considered static. However, real-world uncertainties evolve, and their degrees change as new information becomes available. NPTU models these uncertainties dynamically, allowing for more accurate decision-making in time-varying environments. The paper explores key mathematical properties of NPTU, including entropy, distance measures, similarity measures, and Kullback-Leibler (KL) divergence, to quantify and compare temporal uncertainty states. The proposed framework is demonstrated through a case study on stock price prediction, highlighting its advantages in capturing the evolving nature of uncertainty and making more informed predictions.

Keywords

Neutrosophic probability, Temporal uncertainty modeling, Entropy and similarity measures, Dynamic decision-making

How to Cite

Basumatary, Bhimraj and Brahma, Ashoke Kumar (2026) "Neutrosophic Probability with Dynamic Temporal Uncertainty (NPTU)," Neutrosophic Systems with Applications: Vol. 26: Iss. 3, Article 2. DOI: https://doi.org/10.63689/2993-7159.1327