Data Structures and Algorithms

   

Distances, Hesitancy Degree and Flexible Querying via Neutrosophic Sets

Authors: A. A. Salama, Mohamed Abdelfattah, Mohamed Eisa

Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. İn this paper we, introduce the distances between neutrosophic sets: the Hamming distance, The normalized Hamming distance, the Euclidean distance and normalized Euclidean distance. We will extend the concepts of distances to the case of neutrosophic hesitancy degree. Added to, this paper suggest how to enrich intuitionistic fuzzy querying by the use of neutrosophic values..

Comments: 6 Pages. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. İn this paper we, introduce the distances between neutrosophic sets: the Hamming distance, The normalized Hamming distance, the Euclidean distance an

Download: PDF

Submission history

[v1] 2014-10-22 17:29:34

Unique-IP document downloads: 39 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus