Abstract:
Often, the real world variables are characterized with vagueness (represented by fuzzy set theory), associated hesitancy of the agent (represented by intuitionistic fuzzy...Show MoreMetadata
Abstract:
Often, the real world variables are characterized with vagueness (represented by fuzzy set theory), associated hesitancy of the agent (represented by intuitionistic fuzzy set theory), and randomness (represented by probability) at the same time. Intuitionistic fuzzy set theory extends the fuzzy set theory to take account of hesitancy of the observer in addition to vagueness. We propose an integrated framework based on intuitionistic fuzzy set and probability theories to deal with the uncertainty posed by vagueness and randomness. The study is applied in an intelligent oil level controller.
Published in: 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Date of Conference: 28-30 July 2018
Date Added to IEEE Xplore: 11 April 2019
ISBN Information: