Volume 2, Issue 4, August 2014, Page: 127-134
On Generalized Fuzzy Mean Code Word Lengths
Dhara Singh Hooda, Department of Mathematics, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India
Arunodaya Raj Mishra, Department of Mathematics, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India
Divya Jain, Department of Mathematics, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India
Received: Jul. 21, 2014;       Accepted: Aug. 9, 2014;       Published: Aug. 30, 2014
DOI: 10.11648/j.ajam.20140204.13      View  2910      Downloads  185
Abstract
In present communication, a generalized fuzzy mean code word length of degree β has been defined and its bounds in the term of generalized fuzzy information measure have been studied. Further we have defined the fuzzy mean code word length of type (α,β) and its bounds have also been studied. Monotonic behavior of these fuzzy mean code word lengths have been illustrated graphically by taking some empirical data.
Keywords
Entropy, Fuzzy Entropy, Codeword Length, Decipherable Code, Crisp Set, Hölder’s Inequality
To cite this article
Dhara Singh Hooda, Arunodaya Raj Mishra, Divya Jain, On Generalized Fuzzy Mean Code Word Lengths, American Journal of Applied Mathematics. Vol. 2, No. 4, 2014, pp. 127-134. doi: 10.11648/j.ajam.20140204.13
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