MABAC-based evaluation of multimedia technology application effect in film and television post-production

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Pei Sun
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引用次数: 0

Abstract

Computer multimedia technology first appeared in the late 1980s, which is a functional upgrade based on the development of digital technology. It can achieve functions such as information collection, processing, and storage. Multimedia technology has received widespread attention in the entire computer field and has become a popular technology. Against the backdrop of continuous technological development, various electronic products are presented to people, bringing convenience to their lives. At the same time, they also play a huge role in the work of some industries. The application of multimedia technology, advanced editing software, and digital equipment in the production of video works can present good results and showcase excellent film and television works for people. The application effect evaluation of multimedia technology in the film and television post-production is frequently viewed as a multi-attribute group decision-making (MAGDM) issue. The maximizing deviation method was used to obtain the weight information under intuitionistic fuzzy sets (IFSs). Depending on the MABAC (multi-attributive border approximation area comparison) method and IFSs, this paper design the intuitionistic fuzzy MABAC (IF-MABAC) method to assess the application effect evaluation of multimedia technology in the film and television post-production. Eventually, an example about application effect evaluation of multimedia technology in the film and television post-production and some comparative analysis have been employed to verify the superiority of the designed IF-MABAC method.
基于 MABAC 的影视后期制作多媒体技术应用效果评估
计算机多媒体技术最早出现于 20 世纪 80 年代末,是在数字技术发展基础上的功能升级。它可以实现信息采集、处理、存储等功能。多媒体技术受到了整个计算机领域的广泛关注,已经成为一种流行技术。在科技不断发展的背景下,各种电子产品呈现在人们面前,为人们的生活带来了便利。与此同时,它们也在一些行业的工作中发挥着巨大的作用。在影视作品的制作中应用多媒体技术、先进的编辑软件和数字化设备,可以呈现出良好的效果,为人们展示优秀的影视作品。多媒体技术在影视后期制作中的应用效果评估通常被视为多属性群体决策(MAGDM)问题。在直觉模糊集(IFS)下,采用最大化偏差法获取权重信息。本文以 MABAC(多属性边界逼近区域比较)方法和 IFSs 为基础,设计了直觉模糊 MABAC(IF-MABAC)方法来评估多媒体技术在影视后期制作中的应用效果评价。最后,通过一个多媒体技术在影视后期制作中的应用效果评估实例和一些比较分析,验证了所设计的 IF-MABAC 方法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.10
自引率
0.00%
发文量
22
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