Title: Objective acquisition of imprecise decision data on social media data and its application in typhoon disaster assessment

Authors: Ruipu Tan; Lehua Yang; Shengqun Chen; Jing Li

Addresses: College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou 350108, China; Institute of Information Management, Fuzhou University, Fuzhou 350116, China ' College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou 350108, China ' School of Information Engineering, Fujian Business University, Fuzhou 350506, China ' College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou 350108, China

Abstract: The existing imprecise decision data usually come from other literatures, simulations or assumptions, which lack objectivity and intelligence. Therefore, based on social media data, we apply machine learning and other methods to the objective intelligence acquisition of spherical fuzzy numbers, and propose a decision method based on information entropy, VIKOR method and spherical fuzzy number, and apply it to typhoon disaster assessment. First, we use Python crawler technology to crawl the social media data and obtain quantified spherical fuzzy numbers after the application of sentiment analysis. Second, a new spherical fuzzy number information entropy is defined to objectively determine the index weight. The degree of damage to the evaluated objects is ranked using the VIKOR method. Finally, the practicability, effectiveness, and feasibility of our method are verified using a typhoon disaster assessment example, and the advantages of this method are emphasised through a multifaceted comparative analysis with other methods.

Keywords: fuzzy decision making; objective acquisition of spherical fuzzy numbers; SFNs; VIKOR method; data analysis and mining; social media data.

DOI: 10.1504/IJADS.2026.151991

International Journal of Applied Decision Sciences, 2026 Vol.19 No.2, pp.117 - 154

Received: 28 Dec 2023
Accepted: 22 Dec 2024
Published online: 02 Mar 2026 *

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