A Fuzzy-Based System for Qualified Voting in P2P Mobile Collaborative Team: Effects of Member Activity Failure
Yi Liu, Shinji Sakamoto, Leonard Barolli, Makoto Ikeda · 2017
Mobile computing has many application domains. One important domain is that of mobile applications supporting collaborative work. In a collaborative work, the members of the team has to take decision or solve conflicts in project development (such as delays, changes in project schedule, task asignment, etc.) and therefore members have to vote. Voting can be done in many ways, and in most works in the literature consider majority voting, in which every member of the team accounts on for a vote. In this work, we consider a more realistic case where a vote does not account equal for every member, but accounts on according to member's active involvement and reliability in the groupwork. We present a voting model, that we call qualified voting, in which every member has a voting score according to four parameters: Number of Activities the Member Participates (NAMP), Number of Activities the Member has Successfully Finished (NAMSF), Number of Online Discussions the Member has Participated (NODMP), Number of Activities the Member Failures (NAMF). Then, we use fuzzy based model to compute a voting score for the member. The simulation results show that with increasing of the number of activities the member failures, the VS is decreased. When NAMP, NAMSF and NODMP are high, the voting sore is high. The proposed system can choose reliable peers with good voting score in P2P mobile collaborative team.