Representation of a Sentence using a Polar Fuzzy Neutrosophic Semantic
  Net
  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.
