Model for evaluating the art education teaching quality with uncertain information

Issue title: Special Section: Fuzzy Decision Making and Applications in Knowledge Management

Guest editors: Justin Zhang

Article type: Research Article

Authors: Ling, Xiaoxing^{; *}

Affiliations: Anqing Normal University, Academy of Fine Arts, Anqing, Anhui, China

Correspondence: [*] Corresponding author. Xiaoxing Ling, Anqing Normal University, Academy of Fine Arts, Anqing, Anhui, China. Tel./Fax: +86 05565302789; E-mail: [email protected].

Abstract: In this paper, we study the problem of multiple attribute decision making for evaluating the art education teaching quality in which the decision making information values are interval number, a new decision making method is proposed. Then, according to the concept of the cross entropy, the relative closeness degree is defined to determine the ranking order of all alternatives by calculating the cross entropy to both the interval positive-ideal solution (IPIS) and interval negative-ideal solution (INIS) simultaneously. At last, a numerical example for evaluating the art education teaching quality is provided to illustrate the proposed method. The result shows the approach is simple, effective and easy to calculate.

Keywords: Multiple attribute decision making, interval number, cross entropy, art education teaching quality

DOI: 10.3233/JIFS-179258

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 1967-1972, 2019