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Financial performance evaluation of firms in BIST 100 index with ITARA and COBRA methods
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作者 Ali Katrancı Nilsen Kundakcı Dragan Pamucar 《Financial Innovation》 2025年第1期1081-1108,共28页
Evaluating firms’financial performance is important for survival in the competitive environment arising from technological advancements and gaining a competitive advantage.This study aims to assess the financial perf... Evaluating firms’financial performance is important for survival in the competitive environment arising from technological advancements and gaining a competitive advantage.This study aims to assess the financial performances of firms traded on the Istanbul Stock Exchange 100 Index(Borsa Istanbul(BIST)100 Index)between 2018 and 2022 using an integrated multi-criteria decision-making(MCDM)method.This is the first study to use a new combined approach proposed based on the indifference thresholdbased attribute ratio analysis(ITARA)and cost estimation,benchmarking,and risk assessment(COBRA)methods,which have not been applied to corporate performance assessment.The ITARA method is used to find the weights of the criteria,and the ranking of the firms in terms of financial performance is obtained using the COBRA method.The results show that the firms with the highest financial performance are ISMEN,ALGYO,PGSUS,KOZAA,and IPEKE.The companies with the lowest financial performance are AKFGY,BAGFS,MGROS,KOZAL,and GOZDE.The results of this ranking provide important information for firms to recognize their position and for investors who want to invest in firms in the BIST 100 Index.Additionally,sensitivity analyses are performed to assess the impact of changes in the criteria on the ranking of the firms and to validate the results of the proposed method.A comparative analysis is made with different MCDM methods like the technique for order preference by similarity to ideal solution(TOPSIS),and combined compromise solution(CoCoSo)methods and Spearman’s rank correlation test results are presented.This approach leads to the conclusion that the proposed approach can be a useful and effective tool for assessing the financial performance of firms. 展开更多
关键词 itara COBRA Multi-criteria decision making BIST 100 Performance evaluation
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多方参与视角下矿难救援的多群组风险决策方法研究 被引量:1
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作者 王铁旦 杨晟 彭定洪 《昆明理工大学学报(自然科学版)》 北大核心 2023年第4期163-175,共13页
鉴于矿难救援涉及多方力量共同参与,在充分考虑各参与方知识结构和决策心理的基础上,提出一种多方参与视角下以犹豫模糊信息描述群组意见的多群组风险决策方法.首先,为体现群组智慧,将组内决策成员的差异化价值取向汇总为犹豫模糊集(HF... 鉴于矿难救援涉及多方力量共同参与,在充分考虑各参与方知识结构和决策心理的基础上,提出一种多方参与视角下以犹豫模糊信息描述群组意见的多群组风险决策方法.首先,为体现群组智慧,将组内决策成员的差异化价值取向汇总为犹豫模糊集(HFS),并基于改进的无差异阈值属性比率分析方法(ITARA)从决策信息间的离散程度和其本身的可靠程度两方面生成属性权重;其次,为缩短救援反应时间,通过组间共识水平确定的权重矩阵对各方意见进行集结,并以期解决因不同群组对所有方案和属性的熟悉程度差异而导致的群组权重固化现象;再次,结合累积前景理论和TOPSIS贴进度思想,通过构建收益损失比值确定最优救援方案;最后,以杉木树煤矿瓦斯爆炸事故为例,验证了所提方法的有效性及合理性. 展开更多
关键词 煤矿应急救援 多方参与 多群组风险决策 犹豫模糊集 itara
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中国额蟋属一新纪录种(直翅目:蟋蟀科)
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作者 王利繁 车志勇 +1 位作者 白林忠 李晓东 《大众科技》 2014年第3期115-116,共2页
报道中国额蟋属Itara1新纪录种,即:宽膜额蟋Itara aperta,Gorochov 1996,提供了形态记述、分布及形态特征图。研究标本保存于西北农林科技大学昆虫博物馆。
关键词 蟋蟀总科 额蟋亚科 小额蟋 越南额蟋 云南
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