Comprehensive evaluation of high-quality sports industry development in the new era using fuzzy numbers intuitionistic fuzzy sets

Author:

Ge Xiaoxiang12,Choi Deokhwan2,Yuan Mengxian23,Yang Zeyun2

Affiliation:

1. Huaiyin Commerical School of Jiangsu, Huaian, Jiangsu, China

2. Physical Education Department of Woosuk University, Jeonju, Jeollabuk-do, Korea

3. Jiangsu Food Pharmaceutical Science College, Huaian, Jiangsu, China

Abstract

The swift ascension of the sports industry can be attributed to the advancements of the contemporary era, and serves as a significant indication of the industry’s progression towards a novel phase and pinnacle. Despite a delayed inception, China’s sports industry has experienced a swift evolution and has established a unique developmental framework, thereby establishing a firm groundwork for the prospective growth of China’s sports industry. The sports industry of China is currently encountering fresh prospects for growth in the contemporary era. However, it is also confronted with formidable obstacles and strains that necessitate careful handling. To attain novel breakthroughs and advancements, it remains imperative to explore innovative perspectives and avenues. The assessment of the sports industry’s high-quality development in the new era is a classic Multiple Attribute Group Decision Making (MAGDM) problem. The TODIM and VIKOR methodologies have been employed in addressing Multiple Attribute Group Decision Making (MAGDM) challenges in current times. Fuzzy number intuitionistic fuzzy sets (FNIFS) serve as a valuable instrument in the characterization of uncertain information for the comprehensive assessment of the high-quality development of the sports industry in the contemporary era. The present manuscript introduces the construction of the fuzzy number intuitionistic fuzzy TODIM-VIKOR (FNIF-TODIM-VIKOR) method, which is designed to address multiple attribute group decision making (MAGDM) problems in the context of fuzzy number intuitionistic fuzzy sets (FNIFSs). Ultimately, a numerical case study is presented to comprehensively evaluate the high-quality development of the sports industry in the new era, in order to validate the proposed methodology.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3