用模糊专家系统评价社会计算技术创新理念的成功

A. Nadali, Pouria Goldasteh, Mohammad Ghazivakili, Sami Ahmari
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引用次数: 2

摘要

本研究的目的是通过一个智能系统来决定社会计算技术领域创新理念的成功。本文设计了两个模糊专家系统,考虑了第一系统思想障碍的有效变量和第二系统思想吸引力的有效变量。创新理念的成功取决于这些系统的输出。从一些创业专家那里提取了系统的规则,并利用MATLAB软件中的FIS工具开发了系统。基于子模型导出的两个输出变量,最终得到两个预测模型,分别用于评估社会计算技术领域创新理念成功程度的壁垒水平和吸引力水平。提出的步骤已经运行的想法,一个新的平台命名为WBB作为实证研究。
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Evaluating Success of Innovation Ideas in Social Computing Technologies Using Fuzzy Expert System
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.
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