Exploring the Possibility of Urban Agriculture Farn

C. Sathiyaraj, M. Ramachandran, Ramu Kurinjimalar, Selvam Manjula, Soundhraj Sowmiya
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引用次数: 10

Abstract

In this paper we used WPM method; it is a unique combination of weight sum model and weight product model. Due to its mathematical simplicity and ability to deliver more Compared with WSM and WPM Accurate results. As an effective decision-making tool Now widely accepted methods. In decision-making theory, Weighted Sum Model (WSM), Weighted Linear Combination (WLC) or Also known as Simple Admission Waiting (SAW) is used to evaluate multiple alternatives based on a list of weighted objectives (WOT) criteria used to rank different alternatives. Weighted linear composition is an analytical method used when making multiple attribute decisions (MADM) or considering multiple attributes. The weighted average is the average type calculated by multiplying the weight (or probability) associated with a particular event or effect by its relative magnitude effect. The WPM methods is the most ideal solution Short-distance and negative-best the solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. From the result it is seen that Salem is got the first rank whereas is the Madurai is having the lowest rank.
探索都市农业农场的可能性
本文采用WPM方法;它是权重和模型和权重乘积模型的独特结合。由于其数学简单,能够提供比WSM和WPM更准确的结果。作为有效的决策工具,现在被广泛接受的方法。在决策理论中,加权和模型(WSM)、加权线性组合(WLC)或简单准入等待(SAW)是基于加权目标(WOT)标准列表来评估多个备选方案的,加权目标(WOT)标准用于对不同的备选方案进行排名。加权线性组合是在进行多属性决策或考虑多个属性时使用的一种分析方法。加权平均是通过将与特定事件或效应相关的权重(或概率)乘以其相对量级效应来计算的平均类型。WPM方法是最理想的短距离解和负最佳解,用距离最远的解来确定,但这些距离的比较不考虑重要性。从结果可以看出,塞勒姆排名第一,而马杜赖排名最低。
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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