Title :
Unification and Interpretation of Fuzzy Set Operations
Author :
Kashyap, S.K. ; Raol, J.R.
Author_Institution :
Flight Mech. & Control Div., Nat. Aerosp. Lab., Bangalore
Abstract :
Fuzzy Logic (FL) facilitates modeling of within-the-event uncertainty. The crisp logic models the ´between the events´ uncertainty. Fuzzy techniques in the form of approximate reasoning aid decision making with powerful reasoning capabilities. The FL techniques have been used in varieties of applications: i) image analysis, detection of edges, feature extraction, classification, and clustering, ii) parameter estimation of unknown dynamic systems, iii) home appliances - washing machine, air conditioning systems, and iv) decision fusion, situation and threat assessment. In this paper we study FL concepts, fuzzy sets, several membership functions and their properties, FL operators, fuzzy proposition and attempt to bring out relationships, interconnectivities, contradistinctions between various operations/operators and unification. Illustrative example is presented to make the above concepts very clear
Keywords :
fuzzy logic; fuzzy reasoning; fuzzy set theory; decision making; fuzzy logic operators; fuzzy reasoning; fuzzy set operations; Decision making; Feature extraction; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Home appliances; Image edge detection; Parameter estimation; Power system modeling; Uncertainty; Fuzzy inference; Fuzzy operators; decision fusion; situation assessment;
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
DOI :
10.1109/CCECE.2006.277407