Multiple Attribute Decision Making for the selection of best material for artistic photography

Artistic photography is a complex kind of visual art that relies on the careful selection of materials to accomplish intended aesthetic and operational results. The substance used to make photographic prints has a considerable impact on their quality, longevity, and appearance. Given the wide range of material properties like texture, longevity, color reproduction, expense, and impact on the environment, meticulously identifying and ranking the best materials for artistic photography is critical. Previous methods for material selection frequently lack complete frameworks for assessing and comparing materials across numerous aspects at once. This paper overcomes these restrictions by developing the Multiple Attribute Decision Making for Artistic Photography Material Ranking (MADART) algorithm. The MADART algorithm combines the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Sum Model (WSM) techniques to present a systematic strategy for material choice, addressing the limitations of previous techniques. Experimental outcomes reveal that the MADART algorithm provides higher material selection effectiveness compared to existing methodologies, guaranteeing that photographers and industry professionals may make informed selections that maximize both artistic quality and practical implications.