一种基于新距离测度的改进TOPSIS方法及其在选房问题中的应用

Q3 Computer Science
You En Wang, Xiao Guo Chen
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引用次数: 0

摘要

对于购房者来说,选择合适的房子是很困难的。这是由于难以评估众多因素,如价格、位置、规模等。为了帮助购房者选择合适的房子,提出了一种将区间值毕达哥拉斯FAHP与FTOPSIS相结合的方法。在该方法中,由专家确定评价标准,并将区间值毕达哥拉斯模糊数的语言变量用于购房者和专家的评价。提出了两个ivpfn之间的新距离。通过区间毕达哥拉斯FAHP法确定评价指标的权重,利用考虑新距离的区间毕达哥拉斯FTOPSIS法对房屋选择进行评价。最后,通过实例验证了所提方法的可行性。案例分析结果表明,根据不同购房者的意见,FAHP得到的标准权重并不相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved TOPSIS Method Based on a New Distance Measure and Its Application to the House Selection Problem
It is difficult to choose an appropriate house for homebuyers. This is due to the difficulty of evaluating the multitude of factors, such as price, location, size, and so on. In order to help homebuyers in choosing an appropriate house, a method integrating the interval-valued Pythagorean FAHP and FTOPSIS is proposed. In the proposed approach, the evaluation criteria were determined by the experts, and the linguistic variables of interval-valued Pythagorean fuzzy numbers were used in the evaluations of the homebuyers and experts. A new distance between two IVPFNs is proposed. The weights of the evaluation criteria were determined by the interval-valued Pythagorean FAHP method by the homebuyers, and house selections were evaluated by interval-valued Pythagorean FTOPSIS method taking into account the new distance. Finally, a case study was executed to verify the feasibility of the proposed approach. The case study results reveal that the weights of criteria obtained by FAHP are not the same according to opinions of the different homebuyers.
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来源期刊
International Journal of Fuzzy System Applications
International Journal of Fuzzy System Applications Computer Science-Computer Science (all)
CiteScore
2.40
自引率
0.00%
发文量
65
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