Gestalt Principles Governed Fitness Function for Genetic Pythagorean Neutrosophic WASPAS Game Scene Generation
نویسندگان
چکیده
The maintenance of visual appeal and coherence in the procedural game scene generation is still a difficult problem. Traditional algorithms produce samples that show noticeable resemblance to each other. proposed algorithm allows us add diverse object compositions increase creativity value way. Result diversity formed by genetic modification MCDM method based on fitness function. Video immersion reached aesthetic element pattern composition, one solutions for this issue apply automated modelling generated levels. In research, construction function was extended principles, which were reverse-engineered from Gestalt principles. All rules implemented focal with square zone matrix cell single scene. Five types modelled combined into Pythagorean neutrosophic WASPAS final score calculation proposed. approach generating scenes strikes balance between functionality aesthetics provide players an engaging immersive gaming experience.
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ژورنال
عنوان ژورنال: International Journal of Computers Communications & Control
سال: 2023
ISSN: ['1841-9844', '1841-9836']
DOI: https://doi.org/10.15837/ijccc.2023.4.5475