A STUDY ON FUZZY CONTROL AND FUZZY INFERENCE SYSTEM

Author (s) : M.Yamuna, K.Nivetha & N.Thenmozhi

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Abstract :
Fuzzy inference is the process of formulating the mapping from a given input to an output using fuzzy logic. The mapping then provides a basis from which decisions can be made, or patterns discerned. The process of fuzzy inference involves all the pieces that are described in Membership Functions, Logical Operations, and If-Then Rules. A study report on Fuzzy Control and Fuzzy Inference System (FIS) highlighting the application for Engineering projects. Based on the project focus, FIS model is very much helpful to identify a project performance evaluation. The reasoning processes of a structure of fuzzy rules, the knowledge base of the system is excellent. By applying this, with reasoning it is practical to have a quantitative assessment of the progress of projects and challenges by visualization. In addition, it is possible to identify the positives and negatives of the planning and execution process for making decisions where improvement is required.

Keywords : Fuzzy control, Fuzzy logic, Fuzzy inference system, Membership Function, Fuzzy rules

Conference Date : 30/08/2019

Pages : 335

Paper ID : 19326