Ren et al. [23] proposed an approach based on fuzzy concept to solve coordination problems of multiple gliders, which considers influence of the surrounding environment.
The whole model is based on fuzzy algebra concepts and principles and the software has been developed in MS-Access.
These coefficients are adjusted by an error minimization procedure, based on fuzzy regression concepts and using available recorded data for a given study area within a specified time scale.
For this, a feature selection technique and a classification algorithm based on fuzzy logic concepts were used.
This method is based on fuzzy formal concept analysis, which has been recently developed by several researches and applied for learning, knowledge acquisition, information retrieval, etc.
By defining danger zones, based on fuzzy set concept, the consequence of presence of a target into a danger zone is evaluated and in this manner the static and dynamic risk indexes for the human body organs are calculated.
In contrast to what has already been done, we have herein used a feature selection algorithm and a classifier based on fuzzy logic theory and concepts, in order to identify genes that best discriminate grade 1 from grade 3 tumors.
The conversion approach introduced is based on fuzzy linguistic preferences of DM, in addition to the concepts of conflict analysis among objective functions and fuzzy set theory.
