Evaluating Success of Innovation Ideas in Social Computing Technologies Using Fuzzy Expert System

Abstract

The purpose of this research is determining the Success of Innovation Ideas in Social Computing Technologies area by an intelligent system. Here two Fuzzy Expert Systems have been designed with the consideration of some effective variables on Ideas Barriers for first system and some other effective variables on Ideas Attractiveness for second system. The Innovation Ideas Success is determined on basis of these systems outputs. The rules of systems have been extracted from some entrepreneurship experts and the systems have been developed with the use of FIS tool of MATLAB software. The final result contains two anticipating models for evaluating level of barriers and level of attractiveness which determines level of success of innovative ideas in social computing technologies area based on two derived output variables from sub models. The presented steps have been run for idea of a new platform named WBB as the empirical study.