4.7 Article

Transformation of bipolar fuzzy rough set models

Journal

KNOWLEDGE-BASED SYSTEMS
Volume 27, Issue -, Pages 60-68

Publisher

ELSEVIER
DOI: 10.1016/j.knosys.2011.07.012

Keywords

Bipolar fuzzy set; Bipolar fuzzy rough ser model; Transformation; Kernel; Closure

Funding

  1. Fundamental Research Funds for the Central Universities
  2. Natural Science Foundation of Shaanxi Province [2010JM1005]
  3. National Natural Science Foundation of China [11071151]

Ask authors/readers for more resources

In this paper, the notions of the union, the intersection, and the inverse of bipolar fuzzy approximation spaces are first introduced, respectively, and some related results are obtained. Then, the composition of bipolar fuzzy approximation spaces are proposed, and some properties are discussed. Finally, we give two examples to illustrate the applications of bipolar fuzzy rough set models' transformation in multiple criteria decision making. (C) 2011 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available