Methods for evaluating the government administrative power under the whole area tourism with hesitant fuzzy linguistic information

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

Guest editors: Justin Zhang

Article type: Research Article

Authors: Ling, Chang-Rong^{; *}

Affiliations: Business School, Guangxi University, Nanning, China

Correspondence: [*] Corresponding author. Chang-Rong Ling, Business School, Guangxi University, Nanning, 530004, China. Tel.: +86 13576962303; Fax: +86 13576962303; E-mail: lcr19639@163.com.

Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problems for evaluating the government administrative power under the whole area tourism with hesitant fuzzy linguistic information. Then we used the hesitant fuzzy linguistic weighted average (HFLWA) operator to develop a procedure to multiple attribute decision making (MADM) problems for evaluating the government administrative power under the whole area tourism. Finally, a practical example for evaluating the government administrative power under the whole area tourism is given to verify the developed approach.

Keywords: Multiple attribute decision making (MADM), hesitant fuzzy linguistic sets, hesitant fuzzy linguistic weighted average (HFLWA) operator, government administrative power, whole area tourism

DOI: 10.3233/JIFS-179264

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2019-2025, 2019