USING FUZZY PROBABILITY AND SIMULATION METHODS IN WEB PLANNING MODELS : A Subset of Artificial Intelligence

ISBN-13: 9783639119138 / Angielski / Miękka / 2009 / 120 str.

Xidong Zheng

Opis

This book addresses web systems analysis and planning models from a fuzzy mathematics point of view. The models are primarily queuing systems models directed toward web server analyses. The research divides into two parts based on approaches taken in initial problem definition: transition probability matrices and arrival-service rate stochastic models. Each begins from conventional mathematical formulations into which fuzziness is introduced at some point, affecting further operations on the way to and including solutions. Each approach admits two principal solution methods: optimization and simulation.The models addressed single- and multiple-server web systems. In direct optimization case, it combined fuzzy logic and Genetic Algorithm, making the approach unique and promising. In simulation cases, simulation was directed toward mean values of the rates, it produced frequency distributions about the means used heuristically to obtain "two-step" approximations.

O autorze

The author received his Ph.D. in computer and Information science
from University of Alabama at Birmingham. His research Interests
includes: Fuzzy Logic, Neural Network, Artificial Intelligence,
Numeric Optimization, Image Processing, Optical Charater
Recognition (OCR),Pattern Recognition, Motion Detection.
His email is: xidong.zheng@gmail.com