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Modeling Plant-Based Electricity Generation Under Environmental Uncertainty Using Neutrosophic Logic

Year 2026, Volume: 15 Issue: 1 , 360 - 372 , 24.03.2026
https://doi.org/10.17798/bitlisfen.1816333
https://izlik.org/JA56BY98ZG

Abstract

Plant microbial fuel cells (PMFCs), bio-photovoltaic arrays, and hybrid electrochemical platforms are all examples of new types of renewable energy systems that use living plants to generate a small but steady amount of electricity. These systems depend on the metabolic interactions between roots, soil microorganisms, and materials that can conduct electricity. But their performance is always uncertain because changes in the environment, biological variability, and limits on measurements make things less clear than classical deterministic models can show. Fuzzy logic as it is used now can show different levels of truth, but it combines ignorance and vagueness into one value, making it harder to understand in complicated natural systems. This study presents a conceptual and mathematical model based on neutrosophic logic that aims to define and measure uncertainty in plant-based electricity generation. Neutrosophic triplets (T,I,F) show key environmental and biological factors like solar radiation, soil moisture, temperature suitability, and plant vitality. This lets truth, indeterminacy, and falsity be shown separately. A rule-based inference mechanism puts these triplets together to make an interval-based guess about how much electricity will be produced. The work lays out the theoretical framework for this method and makes it clear how it can be used to model environmental energy. In general, the framework shows how neutrosophic reasoning gives us a better way to understand the uncertainty that comes with living green energy systems.

Ethical Statement

The study is complied with research and publication ethics.

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There are 20 citations in total.

Details

Primary Language English
Subjects Bioelectronic
Journal Section Research Article
Authors

Selçuk Topal 0000-0001-7074-2569

Oğuz Ayhan Kireçci 0000-0003-2205-4758

Behçet Kocaman 0000-0002-1432-0959

Submission Date November 3, 2025
Acceptance Date December 18, 2025
Publication Date March 24, 2026
DOI https://doi.org/10.17798/bitlisfen.1816333
IZ https://izlik.org/JA56BY98ZG
Published in Issue Year 2026 Volume: 15 Issue: 1

Cite

IEEE [1]S. Topal, O. A. Kireçci, and B. Kocaman, “Modeling Plant-Based Electricity Generation Under Environmental Uncertainty Using Neutrosophic Logic”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 15, no. 1, pp. 360–372, Mar. 2026, doi: 10.17798/bitlisfen.1816333.

Bitlis Eren University
Journal of Science Editor
Bitlis Eren University Graduate Institute
Bes Minare Mah. Ahmet Eren Bulvari, Merkez Kampus, 13000 BITLIS