Cosine Similarity Measure between Hybrid Intuitionistic Fuzzy Sets and Its Application in Medical Diagnosis
Joint Authors
Peng, Dan
Liu, Donghai
Chen, Xiaohong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-17
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In this paper, a cosine similarity measure between hybrid intuitionistic fuzzy sets is proposed.
The aim of the paper is to investigate the cosine similarity measure with hybrid intuitionistic fuzzy information and apply it to medical diagnosis.
Firstly, we construct the cosine similarity measure between hybrid intuitionistic fuzzy sets, and the relevant properties are also discussed.
In order to obtain a reasonable evaluation in group decision, the weight of experts under different attributes is determined by the projection of individual decision information on the ideal decision information, where the ideal decision information is the average values of each expert’s evaluation.
Furthermore, we propose a decision method for medical diagnosis based on the cosine similarity measure between hybrid intuitionistic fuzzy sets, and the patient can be diagnosed with the disease according to the values of proposed cosine similarity measure.
Finally, an example is given to illustrate feasibility and effectiveness of the proposed cosine similarity measure, which is also compared with the existing similarity measures.
American Psychological Association (APA)
Liu, Donghai& Chen, Xiaohong& Peng, Dan. 2018. Cosine Similarity Measure between Hybrid Intuitionistic Fuzzy Sets and Its Application in Medical Diagnosis. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1131896
Modern Language Association (MLA)
Liu, Donghai…[et al.]. Cosine Similarity Measure between Hybrid Intuitionistic Fuzzy Sets and Its Application in Medical Diagnosis. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1131896
American Medical Association (AMA)
Liu, Donghai& Chen, Xiaohong& Peng, Dan. Cosine Similarity Measure between Hybrid Intuitionistic Fuzzy Sets and Its Application in Medical Diagnosis. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1131896
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131896