Processing data by linguistic summarization: A comprehensive approach

Article type: Research Article

Authors: Wang, Zhimin | Li, Boquan^{; *}

Affiliations: School of Mathematics and Statistics, Anhui Normal University, Wuhu Anhui, China

Correspondence: [*] Corresponding author. Boquan Li, School of Mathematics and Statistics, Anhui Normal University, Wuhu Anhui, 241002, China. E-mail: 010902014@163.com

Abstract: This paper introduces an expert system to decision-making. The expert system is linguistic summarization combined with prioritized operators. In the practical decision-making problems, the information of attributes is linguistic type and needs to be converted into numerical type. The validity of the linguistic summarization is recorded as the attribute value. We discuss how to calculate the validity of the linguistic summarization, and present three prioritized operators. Then the three prioritized operators are used to aggregate the attribute values. Finally, a practical example is given. In addition, we conduct a comparative analysis between the expert system method and another multi-attribute decision-making method by using a measure of specificity, and conclude that the expert system method is better.

Keywords: Expert system, decision-making, linguistic summarization, prioritized operators, comparative analysis

DOI: 10.3233/JIFS-238556

Journal: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2024