INFORMATION SYSTEM FOR SELECTING THE OPTIMAL PREPRESS PROCESSING OPTION FOR NEWSPAPER PUBLICATIONS
DOI:
https://doi.org/10.20998/2079-0023.2025.02.15Keywords:
prepress processing, newspaper publication, multi-factor optimization, fuzzy preference relation, dimensional parameters, layout design, compositional and graphical formatting, typesetting, alternativeAbstract
The paper analyzes the specific features of prepress processing of newspaper publications as a crucial stage in the production of periodical print media. Pareto-optimal factors with a high level of priority in influencing the quality of the studied process are identified: dimensional parameters, layout design, compositional and graphical formatting, and typesetting. Pairwise comparison of the factors is performed using a relative importance scale. As a result of the normalization of the principal eigenvector components of the pairwise comparison matrix, the weight coefficients of the factors are determined. The correctness of the solution is verified according to normalization criteria. Three alternatives for prepress processing of newspaper publications are designed. The influence level of each factor within the defined alternatives is presented as percentages. A comparison of the probable alternative options for prepress processing is carried out using fuzzy preference relations for each factor. Relation matrices of the alternatives are constructed, where a value of one indicates the presence of a preference or equivalence, and zero indicates its absence. Aggregation of factor relations is conducted, resulting in the first subset of non-dominated alternatives. Further aggregation takes into account the factor weights, leading to the calculation of membership functions and the derivation of a second subset of non-dominated alternatives. The intersection of the two non-dominated subsets is implemented, and a membership function of the combined set is obtained. The values of this function reflect the significance of the designed alternatives, that is, their level of optimality. The optimal prepress processing option for newspaper publications is identified as the third among the proposed alternatives. Based on the proposed methodology, an information system has been developed to support the selection of optimal alternatives for prepress processing of newspaper publications. The practical value of the study lies in providing a reasoned approach to selecting an effective prepress processing method for newspapers, thereby enhancing production efficiency. Future research prospects include expanding the set of input parameters by incorporating time and resource constraints, adapting the proposed model to a digital publishing environment, and integrating fuzzy logic methods with modern machine learning tools.
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