  A fuzzy programming approach is used in this article for solving the piece
selection problem in P2P network with multiple objectives, in which some of the
factors are fuzzy in nature. A piece selection problem has been prepared as a
fuzzy mixed integer goal programming piece selection problem that includes
three primary goals: minimizing the download cost and download time and
maximizing speed and useful information transmission subject to realistic
constraints regarding peer's demand, peer's capacity, peer's dynamicity, etc.
The proposed approach has the ability to handle practical situations in a fuzzy
environment and offers a better decision tool for the piece selection decision
in a dynamic P2P network. An extensive simulation is carried out to demonstrate
the effectiveness of the proposed model. The proposed mechanism has the
capability to handle practical situations in a fuzzy environment and offers a
better decision tool for the piece selection decision in a decentralized P2P
network.
