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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|Introduction
With the globalization of the economy, most modern companies have found a new form of the global competition arena. Marketing managers are faced with a new changing and competitive market environment and are forced to make better decisions to become more competitive (Alexouda 2005). So, the way in which a company could adapt its marketing strategy will have a strong impact on the success or failure of the company’s business (Ai et al. 2004).
The product design is one of the most important and expensive marketings’ decisions. In the current competitive environment, the efficient development of new products is necessary for the survival of a company. The optimal product design problem is a vital element of the new product development problem and one of the most critical decisions for an enterprise (Alexouda 2005).
According to Matsatsinis et al. (2003), the design and development of new products is one of the most interesting and difficult decision-making cases in modern enterprises. Lei and Moon (2015) indicate that to maintain and improve the level of profitability in a competitive market an enterprise must redesign and reposition frequently its existing products or introduce new ones. At the same time, experts in this field have pointed out the importance of this for the viability of companies. Baril et al. (2012) said that the competitiveness of industries depends, among other things, on their ability to identify the customer’s needs and to create products that meet these needs.
In recent years, new products developing is becoming in decentralized work. In this new environment, the task is distributed among different working groups, where the members are separated by discipline. With this, the industries are facing new challenges: (1) designing products in collaboration with distributed environment; (2) designing products that meet customer needs; and (3) reducing product development time and costs (Baril et al. 2012).
物理代写|复杂系统作业代写Complex Systems代考|Product Design Decisions, MDSS and Software Agents
The product design process (PDP) in marketing environments “is a knowledgeintensive activity and unstructured decision-making process. In the whole process of product development, designers must make a decision according to a great amount of uncertain information” (Yu and Yan 2006). Modern information system technologies can support marketing managers to manage and take advantage of the large amounts of information currently available through different means.
According to Cassie (1997), MDSSs are “valuable tools to assist in making marketing decisions. MDSS can be used to support, rather than replace, decision makers in the complex, semi- or unstructured situations which are common in marketing problems. They incorporate the personal judgment and experience of the user to improve the effectiveness, rather than the efficiency of decision making.”
As we can see in Ai et al. $(2004,1998)$; Matsatsinis et al. (2003); Banerjee et al. (2002); Liang and Huang (2002); Zha et al. (2003); Vahidov and Fazlollahi (2004); Yu et al. (2009); Morales and Ortega (2010); and Dostatni et al. (2015), many efforts have been made in recent years to develop MDSS to carry out PDP.
An analysis of marketing decision tasks and the characteristics of multi-agent system (MAS) carried out by Ai et al. (2004) showed that:
- Multi-agent technology “makes possible for the system to asynchronously increase or decrease the agent function without influencing other parts of the system” (2004), what is appropriate for an MDSS, which may require smartly increase or decrease according to the change of marketing circumstances.
- In a MAS, the “characteristics of distribution, mobility and self-adaptability help users to get the newest information relevant to the decision task from the network” and “each agent has its own knowledge base, making possible a distributed store of knowledge” (Ai et al. 2004). Both elements are appropriate for current marketing decision’s requirements of information.
Based on the above, the nature of software agent technology makes them very suitable for marketing applications.
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|Customer-Based Multicriteria Methodology for Product Design Decisions
A new product design multicriteria methodology (NPDMM) based on consumer preferences is implemented computationally by the MDSS proposed in this paper. Such methodology has as one of its main characteristics that it models consumer preferences using a more flexible approach than those used currently in the literature and takes into account the importance assigned by a customer to each criterion to evaluate a product. It also considers the preferences of the decision maker, since he is the one who decides what criteria can be approached in the design of the new product based on the actual enterprise condition, capacities and needs of the business. The methodology is based mainly on the multicriteria ELECTRE III method.
复杂系统代写
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|INTRODUCTION
随着经济的全球化，大多数现代企业已经找到了一种新的全球竞争格局。营销经理面临新的变化和竞争激烈的市场环境，被迫做出更好的决策以提高竞争力一种一世和X这你d一种2005. 因此，公司调整营销策略的方式将对公司业务的成败产生重大影响一种一世和吨一种一世.2004.
产品设计是最重要和最昂贵的营销决策之一。在当前的竞争环境下，新产品的高效开发是企业生存的必要条件。最优产品设计问题是新产品开发问题的重要组成部分，也是企业最关键的决策之一一种一世和X这你d一种2005.
根据 Matsatsinis 等人的说法。2003，新产品的设计和开发是现代企业中最有趣和最困难的决策案例之一。雷和月亮2015表明为了在竞争激烈的市场中保持和提高盈利水平，企业必须经常重新设计和重新定位其现有产品或推出新产品。同时，该领域的专家指出了这对公司生存能力的重要性。巴里尔等人。2012他表示，行业的竞争力取决于他们识别客户需求并创造满足这些需求的产品的能力。
近年来，新产品的开发正在成为分散化的工作。在这个新环境中，任务分布在不同的工作组中，成员按学科分开。因此，这些行业面临着新的挑战：1与分布式环境协作设计产品；2设计满足客户需求的产品；和3减少产品开发时间和成本乙一种r一世一世和吨一种一世.2012.
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|PRODUCT DESIGN DECISIONS, MDSS AND SOFTWARE AGENTS
产品设计流程磷D磷在营销环境中“是一种知识密集型活动和非结构化的决策过程。在产品开发的整个过程中，设计师必须根据大量的不确定信息做出决策”是你一种nd是一种n2006. 现代信息系统技术可以支持营销经理管理和利用当前通过不同方式获得的大量信息。
根据卡西1997, MDSS 是“帮助做出营销决策的宝贵工具。MDSS 可用于支持而非替代营销问题中常见的复杂、半结构化或非结构化情况下的决策者。它们结合了用户的个人判断和经验，以提高效率，而不是决策效率。”
正如我们在 Ai 等人中看到的那样。(2004,1998); Matsatsinis 等人。2003; 班纳吉等人。2002; Liang and Huang2002; 查等人。2003; 瓦希多夫和法兹洛拉希2004; Yu et al.2009; 莫拉莱斯和奥尔特加2010; 和足够的等人。2015，近年来已经做出了许多努力来开发MDSS来进行PDP。
营销决策任务及多智能体系统特点分析米一种小号由艾等人进行。2004表明：
- 多代理技术“使系统可以异步增加或减少代理功能，而不会影响系统的其他部分”2004, 什么是适合 MDSS 的，可能需要根据市场环境的变化巧妙地增加或减少。
- 在 MAS 中，“分布式、移动性和自适应性的特性帮助用户从网络中获取与决策任务相关的最新信息”和“每个智能体都有自己的知识库，使分布式知识存储成为可能”一种一世和吨一种一世.2004. 这两个要素都适合当前营销决策对信息的要求。
综上所述，软件代理技术的特性使其非常适合营销应用。
物理代写|复杂系统作业代写COMPLEX SYSTEMS代考|CUSTOMER-BASED MULTICRITERIA METHODOLOGY FOR PRODUCT DESIGN DECISIONS
一种新的产品设计多准则方法ñ磷D米米本文提出的基于消费者偏好的 MDSS 通过计算实现。这种方法的主要特点之一是它使用比目前文献中使用的方法更灵活的方法来模拟消费者偏好，并考虑到客户对评估产品的每个标准的重要性。它还考虑了决策者的偏好，因为他是根据实际企业状况、能力和业务需求来决定在新产品设计中可以采用哪些标准的人。该方法主要基于多标准 ELECTRE III 方法。
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