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Model for Selection of the Best Location Based on Fuzzy AHP and Hurwitz Methods

机译:模糊AHP和Hurwitz方法的最佳选址模型。

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The problem of evaluation and selection of parking lots is a part of significant issues of public transport management in cities. As population expands as well as urban areas, solving the mentioned issues affects employees, security and safety of citizens, and quality of life in long-time period. The aim of this paper is to propose a multicriteria decision model which includes both quantitative and qualitative criteria, which may be of either benefit or cost type, to evaluate locations. The criteria values and the importance of criteria are either precise or linguistic expressions defined by trapezoidal fuzzy numbers. The human judgments of the relative importance of evaluation criteria and uncertain criteria values are often vague and cannot be expressed by exact precise values. The ranking of locations with respect to all criteria and their weights is performed for various degrees of pessimistic-optimistic index. The proposed model is tested through an illustrative example with real life data, where it shows the practical implications in public communal enterprises.
机译:停车场的评估和选择问题是城市公共交通管理重大问题的一部分。随着人口的增加以及城市地区的扩大,解决上述问题会影响员工,公民的安全保障和长期生活质量。本文的目的是提出一种多标准决策模型,该模型包括定量和定性标准(可能是收益类型也可能是成本类型)来评估位置。标准值和标准的重要性是梯形模糊数定义的精确表达式或语言表达式。关于评估标准和不确定标准值的相对重要性的人为判断通常是模糊的,不能用精确的精确值来表示。针对各种程度的悲观乐观指数,对所有标准及其权重进行位置排名。通过一个具有真实生活数据的说明性示例,对提出的模型进行了测试,该模型展示了对公共社区企业的实际意义。

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