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复杂系统Complex Systems是指由于其各部分之间或某一系统与其环境之间的依赖、竞争、关系或其他类型的相互作用，其行为在本质上难以建模。复杂 “的系统具有从这些关系中产生的独特属性，如非线性、涌现、自发秩序、适应和反馈回路等等。由于这类系统出现在各种各样的领域，它们之间的共性已经成为其独立的研究领域的主题。在许多情况下，将这样的系统表示为一个网络是很有用的，其中节点代表组件，链接代表它们的相互作用。
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物理代写|复杂系统作业代写Complex Systems代考|Preliminary
Innovation capabilities have taken an important place among enterprises’ strategies. Knight and Cavusgil (2004) are positively linked to their development (Calantone 2002). Previous work shows that innovation allows enterprises to survive in a volatile environment (Calantone 2002).
An interesting approach to assess innovation management measurement is presented in Adams et al. (2006) here, the authors compare other authors’ work on the subject, conciliated their opinions and design an enterprise innovation capability measurement model. Seven variables are included in this model: inputs, internal drivers which are the entry systems and tools for innovation process which provide a competitive advantage; knowledge management which includes the management of explicit and implicit knowledge within organizations and the process of collection and use of such information; innovation strategy, which helps to reduce processes inefficiencies and is linked to key business objectives, leadership and pro-activity in the commitment to innovation; organization and culture, which are used to know the intensity with which companies maintain their organizational structure aligned with their project management processes; portfolio management considered a determinant key of competitive advantage; project management is commonly measured in terms of cost, duration and return on investment; and commercialization, external drivers measure the intensity which company launches its products to the market (Alfaro-García et al. 2017).
Based on that new method, Alfaro-García et al. (2017) performed an assessment of the innovation capabilities of the enterprises in Morelia, Michoacan, Mexico. This study focused on the manufacturing enterprises of the region and was executed with fuzzy methods and an IGOWA operator. Alfaro’s work presented a methodological structure for an innovation management measure using a fuzzy approach. The principal advantage of this operator is that the information aggregation considers the decision makers’ highly complex attitudes, which is truly useful for innovation management and has been used as a baseline for the present work.
物理代写|复杂系统作业代写Complex Systems代考|Fuzzy Control Systems
A system is ” $a$ complex collection of highly related elements that accomplish a specific objective” (Valdivia-Miranda 2012) with inputs that can be manipulated and outputs that can be observed. Those systems are generally affected by external and internal factors that cannot be manipulated, which are called disturbances. A control system manipulates the outputs using one rule or a set of rules, even the occurrence of disturbances (Valdivia-Miranda 2012).
Over time, fuzzy control has become quite an active area in the research and application of fuzzy set theory (Chuen Chien 1990). Mamdani, who was motivated by Zadeh’s articles, is a pioneer of the discipline. Some applications of fuzzy set theory are qualitative phenomena modeling, pattern recognition, information processing, decision making, management, finance, among others. Particularly, fuzzy control has become one of the most successful applications due to its effectiveness in nonlinear complex system control (Feng 2006).
A characteristic of fuzzy control is that it incorporates a knowledge-based system (KBS), which allows for increased reliability, robustness and performance by incorporating knowledge of phenomena that cannot be included in an analytic model or an algorithm (Driankov et al. 1996).
Unlike a classic controller, a fuzzy control is built using a set of symbolic IFTHEN-type rules that are compiled using basic numeric objects and algorithms as true tables, interpolations, comparators and others, which are then used as the baselines to the controller’s speed. Fuzzy control systems are thus heuristic forms that define nonlinear systems and are based on tables (Driankov et al. 1996).
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|Methodology
We base our methodology on Alfaro-García et al.’s results from their article “On Ordered Weighted Logarithmic Averaging Operators and Distance Measures” (Alfaro-Garcia et al. 2016), in which a function that generates and establishes the weight of each innovation capability is obtained. According to it, a fuzzy control model that allows the observation of the behavior of innovation based on the changes of enterprises’ innovative capabilities is built.
These controller inputs are defined using Adam’s innovation capability model as follows (Adams et al. 2006):
- Innovation strategy,
- Knowledge management,
- Project management,
- Portfolio management,
- Inside factors,
- Organization and structure, and
- Outside factors.
Innovation is the only output.
Alfaro-García et al. at their article “A Fuzzy Methodology for Innovation Management Measurement” (Alfaro-García et al. 2017) defined the OWA index of innovation capabilities for Morelia’s manufacturing companies as is shown in Fig. $2 .$
This index shows the weight of each capability to generate innovation in the company. With this index, a logic table was built. Each capability was placed in columns. Then, all combinations of the presence or absence of capabilities was set.
复杂系统代写
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|PRELIMINARY
创新能力在企业战略中占据重要位置。奈特和卡武斯吉尔2004与他们的发展正相关C一种一世一种n吨这n和2002. 以前的工作表明，创新可以让企业在动荡的环境中生存C一种一世一种n吨这n和2002.
Adams 等人提出了一种评估创新管理测量的有趣方法。2006在这里，作者比较了其他作者在该主题上的工作，调和了他们的观点，并设计了一个企业创新能力测量模型。该模型包括七个变量：投入、内部驱动因素，即进入系统和提供竞争优势的创新过程工具；知识管理，包括组织内显性和隐性知识的管理以及此类信息的收集和使用过程；创新战略，有助于减少流程效率低下，并与关键业务目标、领导力和创新承诺的积极性相关联；组织和文化，用于了解公司保持其组织结构与其项目管理流程保持一致的强度；投资组合管理被认为是竞争优势的决定性关键；项目管理通常以成本、持续时间和投资回报率来衡量；和商业化，外部驱动因素衡量公司将其产品推向市场的强度í一种一世F一种r这−G一种rC一世一种和吨一种一世.2017.
基于这种新方法，Alfaro-García 等人。2017对墨西哥米却肯州莫雷利亚的企业创新能力进行了评估。本研究以该地区的制造企业为重点，采用模糊方法和 IGOWA 算子进行。Alfaro 的工作提出了一种使用模糊方法的创新管理措施的方法结构。该算子的主要优点是信息聚合考虑了决策者高度复杂的态度，这对创新管理非常有用，并已被用作当前工作的基线。
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|FUZZY CONTROL SYSTEMS
一个系统是“一种实现特定目标的高度相关元素的复杂集合”五一种一世d一世v一世一种−米一世r一种nd一种2012具有可操作的输入和可观察的输出。这些系统通常会受到无法操纵的外部和内部因素的影响，这些因素称为干扰。控制系统使用一个规则或一组规则来操纵输出，即使发生干扰五一种一世d一世v一世一种−米一世r一种nd一种2012.
随着时间的推移，模糊控制已成为模糊集理论研究和应用中相当活跃的领域CH你和nCH一世和n1990. 受 Zadeh 文章启发的 Mamdani 是该学科的先驱。模糊集理论的一些应用是定性现象建模、模式识别、信息处理、决策、管理、金融等。特别是模糊控制因其在非线性复杂系统控制中的有效性而成为最成功的应用之一F和nG2006.
模糊控制的一个特点是它结合了基于知识的系统到乙小号，通过结合无法包含在分析模型或算法中的现象知识，可以提高可靠性、稳健性和性能Dr一世一种n到这v和吨一种一世.1996.
与经典控制器不同，模糊控制是使用一组符号 IFTHEN 类型规则构建的，这些规则使用基本数字对象和算法作为真实表、插值、比较器等进行编译，然后用作控制器速度的基线。因此，模糊控制系统是定义非线性系统并基于表格的启发式形式Dr一世一种n到这v和吨一种一世.1996.
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|METHODOLOGY
我们的方法基于 Alfaro-García 等人从他们的文章“On Ordered Weighted Logarithmic Averaging Operators and Distancemeasures”中得出的结果一种一世F一种r这−G一种rC一世一种和吨一种一世.2016，其中获得了一个函数，该函数生成并建立了每个创新能力的权重。据此，建立了一个基于企业创新能力变化来观察创新行为的模糊控制模型。
这些控制器输入使用 Adam 的创新能力模型定义如下一种d一种米s和吨一种一世.2006:
- 创新战略，
- 知识管理，
- 项目管理，
- 投资组合管理，
- 内部因素，
- 组织和结构，以及
- 外界因素。
创新是唯一的输出。
阿尔法罗-加西亚等人。在他们的文章“创新管理测量的模糊方法”中í一种一世F一种r这−G一种rC一世一种和吨一种一世.2017为Morelia的制造企业定义了OWA创新能力指数，如图1所示。2.
该指数显示了在公司中产生创新的每种能力的权重。有了这个索引，就建立了一个逻辑表。每个能力都放在列中。然后，设置有无能力的所有组合。
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