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Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM
المؤلفون المشاركون
Kou, Gang
Xu, Zeshui
Wu, Wenshuai
Shi, Yong
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-05
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
In many disciplines, the evaluation of algorithms for processing massive data is a challenging research issue.
However, different algorithms can produce different or even conflicting evaluation performance, and this phenomenon has not been fully investigated.
The motivation of this paper aims to propose a solution scheme for the evaluation of clustering algorithms to reconcile different or even conflicting evaluation performance.
The goal of this research is to propose and develop a model, called decision-making support for evaluation of clustering algorithms (DMSECA), to evaluate clustering algorithms by merging expert wisdom in order to reconcile differences in their evaluation performance for information fusion during a complex decision-making process.
The proposed model is tested and verified by an experimental study using six clustering algorithms, nine external measures, and four MCDM methods on 20 UCI data sets, including a total of 18,310 instances and 313 attributes.
The proposed model can generate a list of algorithm priorities to produce an optimal ranking scheme, which can satisfy the decision preferences of all the participants.
The results indicate our developed model is an effective tool for selecting the most appropriate clustering algorithms for given data sets.
Furthermore, our proposed model can reconcile different or even conflicting evaluation performance to reach a group agreement in a complex decision-making environment.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wu, Wenshuai& Xu, Zeshui& Kou, Gang& Shi, Yong. 2020. Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM. Complexity،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1145693
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wu, Wenshuai…[et al.]. Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM. Complexity No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1145693
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wu, Wenshuai& Xu, Zeshui& Kou, Gang& Shi, Yong. Decision-Making Support for the Evaluation of Clustering Algorithms Based on MCDM. Complexity. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1145693
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1145693
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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