Analysis Study of Fuzzy Logic Using Blood Pressure Readings
||International Journal of Computer & Organization Trends (IJCOT)||
|© 2013 by IJCOT Journal|
|Year of Publication : 2013|
|Authors : M.MAyilvaganan, K.Rajeswari|
M.MAyilvaganan, K.Rajeswari . "Analysis Study of Fuzzy Logic Using Blood Pressure Readings" . International Journal of Computer & organization Trends (IJCOT), V3(4):27-30 Jul - Aug 2013, ISSN 2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Fuzzy logic is a form of many-valued logic or probabilistic logic; it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. In this paper Blood pressure values has been taken as an input and applied using fuzzy algorithm. Finally we are analysing the output values.
 intrusion detection via fuzzy datamining susan m. bridges, associate professor rayford b. vaughn, associate professor
 Special Session on Data Mining with Hierarchical Fuzzy Systems at IEEE FUZZ-IEEE 2012, Brisbane, Australia, 10-15 June 2012
 Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies Eyke H¨ullermeier
 The Prediction Algorithm Based on Fuzzy Logic Using Time Series Data Mining Method .
 Fuzzy Rule Selection by Multi-Objective Genetic Local Search Algorithms and Rule Evaluation Measures in Data Mining
 Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India C.T. Dhanya and D. Nagesh Kumar.
 Mining usage profiles from access data using fuzzy clustering G. CASTELLANO, A. M. FANELLI, M. A. TORSELLO.