Applications of Multi Attribute Decision Making Problem

P. Shoba, K. Selvakumari, S. Kavitha
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Abstract

The method of generating intention with the scope of impact is called the decision making. It is the process which an unique or a group evaluates solutions and alternatives in order to found the most politic option while inspecting the problems or situations. Multi-attribute decision-making (MADM) MADM approaches are designed to discover the most satisfying of numerous comparison choices or to rank possibilities based on their connection to the analysed target. The strategies are utilized to identify the suitable alternative/solution when none of the evaluation parameters are the best. The Multi-attribute decision making theory offers a formal base for the establishment of a model, in which the key criteria is the interconnectedness of assessments according to the individual parameters that result in an integrated assessment. MADM is a strategy for evaluating decisions with numerous co-attribute options in a complete and effective manner. The most appropriate options are ranked from most to least, and MADM methods are frequently used to get the best solution. In this paper, the decision-making algorithm is suggested and applied to purchase a new bike with the maximin method.
多属性决策问题的应用
产生具有影响范围的意图的方法称为决策。它是一个独特的或一个团体评估解决方案和备选方案,以便在检查问题或情况时找到最具政治性的选择的过程。多属性决策(MADM) MADM方法旨在从众多比较选择中发现最令人满意的选择,或者根据它们与分析目标的联系对可能性进行排序。当没有一个评价参数是最好的时,使用这些策略来确定合适的替代方案/解决方案。多属性决策理论为模型的建立提供了正式的基础,该模型的关键标准是根据单个参数进行评估的相互联系,从而产生综合评估。MADM是一种以完整有效的方式对具有许多共同属性选项的决策进行评估的策略。最合适的选项从多到少排序,并且经常使用MADM方法来获得最佳解决方案。本文提出了一种基于极大值法的自行车购买决策算法,并将其应用于自行车购买决策中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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