Modeling Bee Behavior and Honey Efficiency under Environmental Uncertainty Using Neutrosophic Logic: Toward Intelligent Alarm and Collective Adaptation Systems
DOI:
https://doi.org/10.24925/turjaf.v14i7.1772-1778.8546Keywords:
Neutrosophic logic , Bee behavior , Uncertainty modelling , Collective intelligence , Honey efficiencyAbstract
This paper establishes a thorough neutrosophic logic framework for the mathematical modelling of bee behavior, honey production efficiency, and collective alarm systems amidst environmental uncertainty. Bees function as decentralized intelligent agents that respond to inconsistent, fluctuating, and ambiguous environmental cues. Classical and fuzzy modelling techniques are inadequate for encapsulating multidimensional uncertainty and indeterminacy. Neutrosophic logic, distinguished by its triadic framework of truth, indeterminacy, and falsity, facilitates the formal representation of ambiguity present in natural and bio- logical phenomena. The suggested model takes traditional behavioral equations and turns them into neutrosophic state-space representations. It also comes up with new ways to think about environmental entropy, collective response, and adaptive efficiency. The model serves as a conceptual link between natural swarm intelligence and uncertainty-driven reasoning systems. The implications for ecological monitoring, agricultural automation, and bio-inspired AI architectures are examined.
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