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

Article type: Research Article

Authors: Sun, Pei

Affiliations: Zhejiang New Great Wall Pictures Co., Ltd. Hangzhou, Zhejiang 310012, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: Zhejiang New Great Wall Pictures Co., Ltd. Hangzhou, Zhejiang 310012, China. E-mail: [email protected].

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.

Keywords: MAGDM issues, intuitionistic fuzzy sets (IFSs), MABAC method, maximizing deviation method, application effect evaluation

DOI: 10.3233/KES-230074

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 28, no. 1, pp. 59-72, 2024