Optimal selection of design scheme in cloud environment: A novel hybrid approach of multi-criteria decision-making based on F-ANP and F-QFD

In order to achieve optimal selection of design schemes in cloud environment, this paper proposed a novel hybrid Multi-Criteria Decision-Making (MCDM) model integrated Fuzzy Analytic Network Process (fuzzy-ANP) and Fuzzy Quality Function Development (fuzzy-QFD). There are three steps in the novel approach. In the first step, the evaluation target system of design scheme is identified considering four dimensions: economy, society, environment, and culture. The proper indicators are identified by the integration of multi-intelligent techniques. In the second step, decision-makers are asked to compare the decision indicators, and the weight for each indicator is determined using the intuitionistic fuzzy number and fuzzy-ANP. In the third step, the decision-making system of design scheme is developed to compare and rank alternatives. The decision-makers are invited over to compare different options and rank them with the aid of fuzzy-QFD in the cloud environment. A case study is provided to validate the proposed approach. Twenty-five sensitivity analysis experiments are conducted to figure out the influence of evaluation indicators on decision making process. The novel approach makes use of the strength of fuzzy set theory in handing vagueness and uncertainty, the fuzzy-ANP in non-independent hierarchy evaluation on the indicator system, the advantage of fuzzy-QFD in multiple-objective decision analysis. Based on the comparative study and assessment, the results show that the proposed approach is more efficient and provided users with multidimensional evaluation.