Open AccessReproving the basic principles of fuzzy sets for the decisions
Author(s) -
Mahyuddin K. M. Nasution
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1783/1/012096
Subject(s) - fuzzy logic , computer science , basis (linear algebra) , operator (biology) , fuzzy set , artificial intelligence , theoretical computer science , mathematics , biochemistry , chemistry , geometry , repressor , transcription factor , gene
Principles in the logic and the sets form the basis of many societal solutions that are present with physical as well as non-physical phenomena. Non-physical phenomena, for example present language variables that require the presence of the fuzzy logic and the fuzzy sets. Although specific verification of the rules used remains the same, the systematic verification for the fuzzy sets requires a strategy, including when implementing it into a computer program. The final problem has the answer to the change in the operator implemented in the program.