Fuzzy Similar Priority Method for Mixed Attributes
Joint Authors
Sun, Jing
Ji, Changsheng
Ma, Jinshan
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-03
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Fuzzy similar priority ratio method is to select the most suitable one to the specific object from feasible alternatives.
However, this method considering only the index values of real number has its disadvantages of inaccuracy in result and complexity in calculation.
So, this method was extended to handle mixed attributes including real number, interval number, triangular fuzzy number, and trapezoidal fuzzy number.
The proposed method decides the optimal alternative by the minimum of integrated nearness degrees calculated by all index vectors and the fixed index vectors based on the theory of similarity.
The improved method can not only address mixed attributes but also simplify the calculation and improve the accuracy of result.
A case study illustrated this method.
American Psychological Association (APA)
Ma, Jinshan& Ji, Changsheng& Sun, Jing. 2014. Fuzzy Similar Priority Method for Mixed Attributes. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1039654
Modern Language Association (MLA)
Ma, Jinshan…[et al.]. Fuzzy Similar Priority Method for Mixed Attributes. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1039654
American Medical Association (AMA)
Ma, Jinshan& Ji, Changsheng& Sun, Jing. Fuzzy Similar Priority Method for Mixed Attributes. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1039654
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1039654