Comparison of the Performances of MCDM Methods under Uncertainty: An Analysis on Bist SME Industry Index

作者
Mahmut Baydaş
出处
期刊: 卷期号:19 (46): 308-326 被引量:30
标识
DOI:10.26466/opusjsr.1064280
摘要

MCDM is a sort of ranking and selection methodology widely used both in daily life and in disciplines such as social, science, health, informatics, and engineering. However, the selection of an appropriate MCDM method is a common and chronic problem of these disciplines. Because the issue of determining the most appropriate method among MCDM methods has not been clarified yet. Since the algorithms of more than a hundred MCDM methods currently that are in use are different, the ranking they produce or the "best alternative" often varies. Although all these methods claim to suggest the best alternative, it is unclear which method should be chosen for the decision maker. In fact, it can be said that input capabilities are focused more in the selection of MCDM methods. On the other hand, besides the potential capabilities of MCDM methods, the results they produce are also important in comparison. In this direction, MCDM-based financial performance measurement of companies was made in this study. The performance of WSA and FUCA methods was evaluated according to Spearman rho and entropy values. Accordingly, the method with the highest capacity is clearly FUCA, because this method showed a clearly higher performance in 10 of 12 problems/terms according to both criteria.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
香蕉觅云应助Lucyxinyue采纳,获得10
1秒前
FashionBoy应助唠叨的以冬采纳,获得10
1秒前
端庄的傲易完成签到 ,获得积分10
1秒前
祝志泽发布了新的文献求助10
2秒前
Wrl完成签到,获得积分10
2秒前
kidult完成签到,获得积分10
3秒前
3秒前
脑洞疼应助WANG采纳,获得10
3秒前
dingyu24完成签到,获得积分10
4秒前
lulu227发布了新的文献求助10
5秒前
欢呼的往事完成签到 ,获得积分10
6秒前
科研小蔡完成签到,获得积分10
6秒前
starskyzheng完成签到,获得积分10
6秒前
冰晨完成签到,获得积分10
6秒前
7秒前
www完成签到 ,获得积分10
7秒前
科目三应助唠叨的以冬采纳,获得10
7秒前
完美世界应助唠叨的以冬采纳,获得10
8秒前
坚强的安柏完成签到,获得积分10
8秒前
丘比特应助学术小白采纳,获得10
8秒前
小蘑菇应助唠叨的以冬采纳,获得10
8秒前
8秒前
8秒前
bkagyin应助唠叨的以冬采纳,获得10
8秒前
情怀应助唠叨的以冬采纳,获得10
8秒前
Owen应助xfhxfh采纳,获得10
8秒前
rinka完成签到,获得积分20
8秒前
8秒前
顾矜应助唠叨的以冬采纳,获得10
9秒前
英姑应助唠叨的以冬采纳,获得10
9秒前
思源应助唠叨的以冬采纳,获得10
9秒前
斯文败类应助唠叨的以冬采纳,获得10
9秒前
9秒前
赘婿应助唠叨的以冬采纳,获得10
9秒前
10秒前
10秒前
11秒前
科研通AI6.4应助lanhu采纳,获得30
11秒前
黎簇完成签到,获得积分10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7734706
求助须知:如何正确求助?哪些是违规求助? 9285016
关于积分的说明 20168222
捐赠科研通 7312624
什么是DOI,文献DOI怎么找? 3304709
关于科研通互助平台的介绍 2457316
邀请新用户注册赠送积分活动 2314051