英文摘要 |
After establishing the index evaluation system, the synthetic evaluation model with fuzzy optimization theory is introduced to evaluate the Fast-food Restaurant selection model, and to make the fuzziness, complexity and difficulty. Firstly, the qualitative factors are evaluated quantitatively two by two, then, weights of each factors are determined in line with its contribution, finally, the mine development scheme is optimized by two methods: the fuzzy optimization and the fuzzy pattern recognition. This above method balances multiple factors and its effects on the outcome, avoids the risk of subjective judgments and wrong decisions out of single factor. Therefore, it could reflects reality and peoples views without any bias more objectivity. In the model, binary contrast method is applied to determine the weights of evaluation indexes, to make qualitative process and comparison to the qualitative information, which reduces the influence of subjective factor and improve the accuracy of the evaluation conclusion, and offers a new kind of approach for evaluation to Fast-food Restaurant selection model. Finally, the validity and feasibility of the proposed approach is verified with a case. |