### 统计代写|运筹学作业代写operational research代考|MTH360

statistics-lab™ 为您的留学生涯保驾护航 在代写运筹学operational research方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写运筹学operational research代写方面经验极为丰富，各种代写运筹学operational research相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|运筹学作业代写operational research代考|Future and Summary of Work

This section discusses the future and summary of the proposed method:
i. Neutrosophic set theory is a new structure considering three independent membership functions to deal with the concept of incompleteness, uncertainty, and vagueness. The method of multi-criteria decision-making (MCDM) problem is an important key in the existence of multiple criteria and alternatives in solving sophisticated and complicated decision problems.
ii. This chapter derived a new neutrosophic method in multi-criteria decisionmaking problems to find the best alternatives in each and the entire regions nnder the nentrosophic envirnnment,
iii. This method considered neutrosophic sets with their unions and the complements with their intersections.
iv. The single-valued neutrosophic score functions are computed to find the best alternatives not only in each region but also in the entire region.
v. This chapter solved the plant hybridization problem as a real-life application of neutrosophic set theory to demonstrate the effectiveness of the proposed method.
vi. The present methodology may further be applied in content-based image retrieval (CBIR), dimensionality reduction in dimensional space, multimedia databases, manufacturing systems, personal selection in academia, project evaluation, and supply chain management.
vii. The proposed method can alternatively be used for other multi-criteria decision-making methods such as ELECTRE, DEMTEL, PROMOTEE, TOPSIS, and VIKOR methods.
viii. The techniques of this method may also be applied in fuzzy and intuitionistic fuzzy environments.

## 统计代写|运筹学作业代写operational research代考|Preliminaries

In this section we recall the basic definitions of QSVNS and IQNS which will be used in proving the rest of the paper.

Definition 2.1 [17] Let $\mathrm{X}$ be a non-empty set. A quadripartitioned single-valued neutrosophic set (QSVNS) $A$ over $X$ characterizes each element $x$ in $X$ by a truth membership function $T_{A}$, a contradiction membership function $C_{A}$, an ignorance membership function $U_{A}$, and a falsity membership function $F_{A}$ such that for each $x \in X, T_{A}, C_{A}, U_{A}, F_{A} \in[0,1]$ and $0 \leq T_{A}(x)+C_{A}(x)+U_{A}(x)+F_{A}(x) \leq 4$ when $X$ is discrete, $A$ is represented as $A=\sum_{i=1}^{n}\left\langle T_{A}\left(x_{i}\right), C_{A}\left(x_{i}\right), U_{A}\left(x_{i}\right), F_{A}\left(x_{i}\right)\right\rangle / x_{i}$, $x_{i} \in X$
However, when the universe of discourse is continuous, A is represented as
$$A=\int_{X}\left\langle T_{A}(x), C_{A}(x), U_{A}(x), F_{A}(x)\right\rangle / x, x \in X$$
Definition $2.2$ [17] Consider two QSVNSs $A$ and $B$, over $X . A$ is said to be contained in $B$, denoted by $A \subseteq B$ iff $T_{A}(x) \leq T_{B}(x), C_{A}(x) \leq C_{B}(x)$, $U_{A}(x) \geq U_{B}(x)$ and $F_{A}(x) \geq F_{B}(x)$.

Definition $2.3$ [17] The complement of a QSVNS A is denoted by $A^{C}$ and is defined as
$$\begin{gathered} A^{C}=\sum_{i=1}^{n}\left\langle F_{A}\left(x_{i}\right), U_{A}\left(x_{i}\right), C_{A}\left(x_{i}\right), T_{A}\left(x_{i}\right)\right\rangle / x_{i}, x_{i} \in X \ \text { i.e., } T_{A} c\left(x_{i}\right)=F_{A}\left(x_{i}\right), C_{A} c\left(x_{i}\right)=U_{A}\left(x_{i}\right), U_{A} C\left(x_{i}\right)=C_{A}\left(x_{i}\right) \text { and } F_{A} c\left(x_{i}\right) \ =T_{A}\left(x_{i}\right), x_{i} \in X \end{gathered}$$
Definition 2.4 [17] The union of two QSVNSs $A$ and $B$ is denoted by $A \cup B$ and is defined as
$$\begin{array}{r} A \cup B=\sum_{i=1}^{n}\left\langle T_{A}\left(x_{i}\right) \vee T_{B}\left(x_{i}\right), C_{A}\left(x_{i}\right) \vee C_{B}\left(x_{i}\right), U_{A}\left(x_{i}\right) \wedge U_{B}\left(x_{i}\right)\right. \ \left.F_{A}\left(x_{i}\right) \wedge F_{B}\left(x_{i}\right)\right\rangle / x_{i}, x_{i} \in X \end{array}$$

## 统计代写|运筹学作业代写operational research代考|Future and Summary of Work

i．中智集合论是一种新的结构，它考虑三个独立的隶属函数来处理不完备性、不确定性和模糊性的概念。多准则决策（MCDM）问题的方法是解决复杂和复杂决策问题存在多准则和备选方案的重要关键。
ii. 本章推导了一种新的多准则决策问题中智方法，以在中智环境下的每个和整个区域中找到最佳替代方案，
iii。该方法考虑了中智集及其并集和补集及其交集。
iv. 计算单值中智评分函数以不仅在每个区域而且在整个区域中找到最佳替代方案。
v. 本章将植物杂交问题作为中智集理论的实际应用解决，以证明所提出方法的有效性。

## 统计代写|运筹学作业代写operational research代考|Preliminaries

$x \in X, T_{A}, C_{A}, U_{A}, F_{A} \in[0,1]$ 和 $0 \leq T_{A}(x)+C_{A}(x)+U_{A}(x)+F_{A}(x) \leq 4$ 什么时候 $X$ 是离散的， $A$ 表示为 $A=\sum_{i=1}^{n}\left\langle T_{A}\left(x_{i}\right), C_{A}\left(x_{i}\right), U_{A}\left(x_{i}\right), F_{A}\left(x_{i}\right)\right\rangle / x_{i}, x_{i} \in X$

$$A=\int_{X}\left\langle T_{A}(x), C_{A}(x), U_{A}(x), F_{A}(x)\right\rangle / x, x \in X$$

$$A^{C}=\sum_{i=1}^{n}\left\langle F_{A}\left(x_{i}\right), U_{A}\left(x_{i}\right), C_{A}\left(x_{i}\right), T_{A}\left(x_{i}\right)\right\rangle / x_{i}, x_{i} \in X \text { i.e., } T_{A} c\left(x_{i}\right)=F_{A}\left(x_{i}\right), C_{A} c\left(x_{i}\right)=U_{A}$$

$$A \cup B=\sum_{i=1}^{n}\left\langle T_{A}\left(x_{i}\right) \vee T_{B}\left(x_{i}\right), C_{A}\left(x_{i}\right) \vee C_{B}\left(x_{i}\right), U_{A}\left(x_{i}\right) \wedge U_{B}\left(x_{i}\right) F_{A}\left(x_{i}\right) \wedge F_{B}\left(x_{i}\right)\right\rangle / x_{i}, x_{i}$$

## 有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。