Adelaide Research & Scholarship
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https://hdl.handle.net/2440/83092
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| Type: | Journal article |
| Title: | Fuzzy approximation relations on fuzzy n-cell number space and their applications in classification |
| Author: | Wang, G. Shi, P. Wen, C. |
| Citation: | Information Sciences, 2011; 181(18):3846-3860 |
| Publisher: | Elsevier Science Inc |
| Issue Date: | 2011 |
| ISSN: | 0020-0255 1872-6291 |
| Statement of Responsibility: | Guixiang Wang, Peng Shi, Chenglin Wen |
| Abstract: | In this paper, the problems of fuzzy binary relations on fuzzy n-cell number space and their applications are investigated. Firstly, we have defined some fuzzy approximation relations on fuzzy n-cell number space, and studied their properties. Secondly, as application, we have developed an algorithmic version of classification in an imprecise or uncertain environment by using the fuzzy approximation relations. Practical examples are provided to show the application and rationality of the proposed techniques. © 2011 Elsevier Inc. All rights reserved. |
| Keywords: | Fuzzy numbers Fuzzy n-cell numbers n-Dimensional fuzzy vectors Fuzzy binary relation Fuzzy approximation relation Classification |
| Rights: | © 2011 Elsevier Inc. All rights reserved. |
| DOI: | 10.1016/j.ins.2011.04.032 |
| Published version: | http://dx.doi.org/10.1016/j.ins.2011.04.032 |
| Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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