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Hybridising Human Judgment, Ahp, Simulation And A Fuzzy Expert System For Strategy Formulation Under Uncertainty

机译:不确定性下人为判断,Ahp,仿真与模糊专家系统的混合策略制定

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摘要

A hybrid approach that combines human judgment, analytic hierarch process (AHP), simulation and a fuzzy expert system for formulating marketing strategies and related Internet strategies is proposed and evaluated in the paper. Within this approach, AHP is utilised to perform pairwise comparisons and assist the decision-maker to determine the relative importance of relevant factors affecting strategic decision-making. Monte Carlo simulation is employed to estimate the scores for the strategic factors or variables on the basis of human judgmental inputs and the triangular probability distribution. The fuzzy expert system is applied to fuzzify the aggregated inputs using trapezoidal membership functions, undertake approximate reasoning and generate strategic recommendations with certain degree of confidence. These techniques and technologies are hybridised by using an intercommunication job-sharing method with human judgment incorporated. Empirical evaluation findings from six managers indicate that the hybrid approach is efficient and effective in supporting and improving both the process and the outcomes of strategy formulation.
机译:本文提出并评估了一种混合方法,该方法结合了人类判断力,层次分析法(AHP),模拟和模糊专家系统来制定营销策略和相关的Internet策略。在这种方法中,层次分析法被用来进行成对比较,并协助决策者确定影响战略决策的相关因素的相对重要性。蒙特卡罗模拟用于根据人类的判断输入和三角概率分布估算战略因素或变量的得分。应用模糊专家系统使用梯形隶属函数对汇总输入进行模糊处理,进行近似推理并以一定的置信度生成战略建议。通过使用结合了人类判断力的互通工作共享方法,将这些技术和技术进行了混合。来自六位管理人员的经验评估结果表明,混合方法在支持和改进策略制定的过程和结果方面是有效且有效的。

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