Representation of a Sentence using a Polar Fuzzy Neutrosophic Semantic Net
Abstract
A semantic net can be used to represent a sentence. A sentence in a language contains semantics which are polar in nature, that is, semantics which are positive, neutral and negative. Neutrosophy is a relatively new field of science which can be used to mathematically represent triads of concepts. These triads include truth, indeterminacy and falsehood, and so also positivity, neutrality and negativity. Thus a conventional semantic net has been extended in this paper using neutrosophy into a Polar Fuzzy Neutrosophic Semantic Net. A Polar Fuzzy Neutrosophic Semantic Net has been implemented in MATLAB and has been used to illustrate a polar sentence in English language. The paper demonstrates a method for the representation of polarity in a computers memory. Thus, polar concepts can be applied to imbibe a machine such as a robot, with emotions, making machine emotion representation possible.
Keywords
Cite
@article{arxiv.1405.0423,
title = {Representation of a Sentence using a Polar Fuzzy Neutrosophic Semantic Net},
author = {Sachin Lakra and T. V. Prasad and G. Ramakrishna},
journal= {arXiv preprint arXiv:1405.0423},
year = {2014}
}
Comments
arXiv admin note: text overlap with arXiv:math/0101228, arXiv:math/0412424, arXiv:math/0306384 by other authors