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<p>Equitable access to tactile information for persons with visual impairments depends not only on content availability, but critically on the technology chosen to physically reproduce that content in a given institutional context. In practice, technology selection is rarely formalised: decision-makers must simultaneously balance geometric compliance with Braille standards, relief durability, cost, infrastructure requirements, and content-development flexibility, representing criteria that are heterogeneous and partly uncertain. This article presents a reproducible decision-support framework for the preliminary selection of Braille formation technology in the context of universal access to information. The framework integrates the Analytic Hierarchy Process (AHP) with triangular fuzzy logic, formalising linguistic judgements and reducing the influence of subjective interpretation when comparing seven representative technologies: mechanical embossing, thermoforming, electronic tactile displays, manual methods (Slate&#xa0; &amp;&#xa0;Stylus), CAD-based modelling, FDM, and SLA/DLP additive manufacturing. Criteria weights were derived through structured pairwise comparisons, subsequently cross-checked with domain specialists; fuzzy scores were assigned using a standardised linguistic scale grounded in established technical specifications and peer-reviewed literature. The framework is demonstrated through scenario analysis corresponding to the production of tactile educational materials in a resource-constrained institutional setting. Sensitivity analysis confirms that the resulting ranking is stable across ten-percent variations in criterion weights. All computations are implemented in a fully reproducible Python/Google&#xa0;Colab environment provided as supplementary material. The proposed approach constitutes a transparent, auditable decision-support tool for pre-selection of Braille production technologies, directly relevant to accessible and inclusive information-society systems.</p>

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A decision-support framework for selecting braille formation technologies in universal access systems

  • 期刊论文

  • 发表日期：

    2026年7月13日

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  • Nikita Tarasov,
  • Orest Khamula

摘要

Equitable access to tactile information for persons with visual impairments depends not only on content availability, but critically on the technology chosen to physically reproduce that content in a given institutional context. In practice, technology selection is rarely formalised: decision-makers must simultaneously balance geometric compliance with Braille standards, relief durability, cost, infrastructure requirements, and content-development flexibility, representing criteria that are heterogeneous and partly uncertain. This article presents a reproducible decision-support framework for the preliminary selection of Braille formation technology in the context of universal access to information. The framework integrates the Analytic Hierarchy Process (AHP) with triangular fuzzy logic, formalising linguistic judgements and reducing the influence of subjective interpretation when comparing seven representative technologies: mechanical embossing, thermoforming, electronic tactile displays, manual methods (Slate  & Stylus), CAD-based modelling, FDM, and SLA/DLP additive manufacturing. Criteria weights were derived through structured pairwise comparisons, subsequently cross-checked with domain specialists; fuzzy scores were assigned using a standardised linguistic scale grounded in established technical specifications and peer-reviewed literature. The framework is demonstrated through scenario analysis corresponding to the production of tactile educational materials in a resource-constrained institutional setting. Sensitivity analysis confirms that the resulting ranking is stable across ten-percent variations in criterion weights. All computations are implemented in a fully reproducible Python/Google Colab environment provided as supplementary material. The proposed approach constitutes a transparent, auditable decision-support tool for pre-selection of Braille production technologies, directly relevant to accessible and inclusive information-society systems.