Eliminate people’s expressive preference in the mood of fuzzy linguistics

Fuzzy linguistics is popular in the fields like human system interaction and intelligent systems today, so to eliminate the expressive preference in fuzzy mood has become a crucial issue for computer to understand humanpsilas real meaning well. After defining and discussing the concept of mood operator and two typical kinds of expressive preference in fuzzy mood - attitude preference and degree preference, we propose a method to eliminate this preference, which is to do a preparatory test in advance and get rid of the preference from data by mathematical translation. Both the process and mathematical translation method was illustrated, and an experiment was done to verify the effect of the method as well. The results of the experiment reflect that itpsilas effective to some extent. At last, the method will be concluded as well as the study direction in future.