Power Aggregation Operators of Simplified Neutrosophic Sets and Their Use in Multi-attribute Group Decision Making

The simplified neutrosophic set(SNS) is a useful generalization of the fuzzy set that is designed for some practical situations in which each element has different truth membership function, indeterminacy membership function and falsity membership function. In this paper, we develop a series of power aggregation operators called simplified neutrosophic number power weighted averaging(SNNPWA) operator, simplified neutrosophic number power weighted geometric(SNNPWG) operator, simplified neutrosophic number power ordered weighted averaging(SNNPOWA) operator and simplified neutrosophic number power ordered weighted geometric(SNNPOWG) operator. We present some useful properties of the operators and discuss the relationships among them. Moreover, an approach to multiattribute group decision making(MAGDM) within the framework of SNSs is developed by the above aggregation operators.Finally, a practical application of the developed approach to deal with the problem of investment is given, and the result shows that our approach is reasonable and effective in dealing with uncertain decision making problems.

The Development of the Generation Expansion Planning System Using Multi-Criteria Decision Making Rule

The power expansion planning is large and capital intensive capacity planning. In the past, the expansion planning was established with the proper supply reliability in order to minimize social cost. However, such planning cannot be used in the power markets with many market participants. This paper proposed the power expansion planning process in the power markets. This system is composed of Regulator and Generation Company （GENCO）＇s model. Multi-criteria decision making rule is used for regulator model and several scenarios for GENCO model are applied.

Linguistic Single-Valued Neutrosophic Power Aggregation Operators and Their Applications to Group Decision-Making Problems

Linguistic single-valued neutrosophic set(LSVNS)is a more reliable tool,which is designed to handle the uncertainties of the situations involving the qualitative data.In the present manuscript,we introduce some power aggregation operators(AOs)for the LSVNSs,whose purpose is to diminish the influence of inevitable arguments about the decision-making process.For it,first we develop some averaging power operators,namely,linguistic single-valued neutrosophic(LSVN)power averaging,weighted average,ordered weighted average,and hybrid averaging AOs along with their desirable properties.Further,we extend it to the geometric power AOs for LSVNSs.Based on the proposed work;an approach to solve the group decision-making problems is given along with the numerical example.Finally,a comparative study and the validity tests are present to discuss the reliability of the proposed operators.

Power Aggregation Operators and Similarity Measures Based on Improved Intuitionistic Hesitant Fuzzy Sets and their Applications to Multiple Attribute Decision Making

Intuitionistic hesitant fuzzy set(IHFS)is amixture of two separated notions called intuitionistic fuzzy set(IFS)and hesitant fuzzy set(HFS),as an important technique to cope with uncertain and awkward information in realistic decision issues.IHFS contains the grades of truth and falsity in the formof the subset of the unit interval.The notion of IHFS was defined by many scholars with different conditions,which contain several weaknesses.Here,keeping in view the problems of already defined IHFSs,we will define IHFS in another way so that it becomes compatible with other existing notions.To examine the interrelationship between any numbers of IHFSs,we combined the notions of power averaging(PA)operators and power geometric(PG)operators with IHFSs to present the idea of intuitionistic hesitant fuzzy PA(IHFPA)operators,intuitionistic hesitant fuzzy PG(IHFPG)operators,intuitionistic hesitant fuzzy power weighted average(IHFPWA)operators,intuitionistic hesitant fuzzy power ordered weighted average(IHFPOWA)operators,intuitionistic hesitant fuzzy power ordered weighted geometric(IHFPOWG)operators,intuitionistic hesitant fuzzy power hybrid average(IHFPHA)operators,intuitionistic hesitant fuzzy power hybrid geometric(IHFPHG)operators and examined as well their fundamental properties.Some special cases of the explored work are also discovered.Additionally,the similarity measures based on IHFSs are presented and their advantages are discussed along examples.Furthermore,we initiated a new approach to multiple attribute decision making(MADM)problem applying suggested operators and a mathematical model is solved to develop an approach and to establish its common sense and adequacy.Advantages,comparative analysis,and graphical representation of the presented work are elaborated to show the reliability and effectiveness of the presented works.

Analysis on decision-making model of plan evaluation based on grey relation projection and combination weight algorithm

In military service joint operations, when there are more operational forces, more multifarious materials are consumed, the support is more complex and fuzzy, the deployment of personnel is more rapid, and the support provided by wartime military material support powers can be more effective. When the principles,requirements, influencing factors and goals of military material support forces are deployed in wartime, an evaluation indicator system is established. Thus, a new combined empowerment method based on an analytic hierarchy process（AHP） is developed to calculate the subjective weights, and the rough entropy method is used to calculate the objective weights. Combination weights can be obtained by calculating the weight preference coefficient error, which is determined by combining the cooperative game method and the minimum deviation into objectives. This approach can determine the grey relation projection coefficient and synthesize the measure scheme superiority to finally optimize the deployment plan using the grey relation projection decision-making method. The results show that the method is feasible and effective;it can provide a more scientific and practical decision-making basis for the military material support power deployment in wartime.

Fuzzy Set Based Models and Methods of Decision Making and Power Engineering Problems

The results of research into the use of fuzzy set based models and methods of multicriteria decision making for solving power engineering problems are presented. Two general classes of models related to multiobjective (X,M> models) and multiattribute (X,R> models) problems are considered. The analysisX,M> of models is based on the use of the Bellman-Zadeh approach to decision making in a fuzzy environment. Its application conforms to the principle of guaranteed result and provides constructive lines in obtaining harmonious solutions on the basis of analyzing associated maxmin problems. Several techniques based on fuzzy preference modeling are considered for the analysis of?X,R> models. A review of the authors’ results associated with the application of these models and methods for solving diverse types of problems of power system and subsystems planning and operation is presented. The recent results on the use ofX,M> andX,R> models and methods of their analysis for the allocation of reactive power sources in distribution systems and for the prioritization in maintenance planning in distribution systems, respectively, are considered.

Clustering Analysis of Black-start Decision-making with a Large Group of Decision-makers

The optimization of black-start decision-making plays an important role in the rapid restoration of a power system after a major failure/outage.With the introduction of the concept of smart grids and the development of real-time communication networks,the black-start decision-makers are no longer limited to only one or a few power system experts such as dispatchers,but rather a large group of professional people in practice.The overall behaviors of a large decision-making group of decision-makers/experts are more complicated and unpredictable.However,the existing methods for black-start decision-making cannot handle the situations with a large group of decision-makers.Given this background,a clustering algorithm is presented to optimize the black-start decision-making problem with a large group of decision-makers.Group decision-making preferences are obtained by clustering analysis,and the final black-start decision-making results are achieved by combining the weights of black-start indexes and the preferences of the decision-making group.The effectiveness of the proposed method is validated by a practical case.This work extends the black-start decision-making problem to situations with a large group of decision-makers.

Basic Concept and Theoretical Study of Condition-based Maintenance for Power Transmission System

状态检修背景下,为解决电网运行整体与输变电设备个体之间的矛盾和冲突,在已有研究成果基础上,提出电网状态检修的概念,在输变电设备状态检修决策过程中,给出电网故障风险和电网检修风险的定义以及相应的量化表达式。依据设备状态预测,以电网故障风险和电网检修风险的和最小为目标,将设备检修、运行以及电网整体性能在概率引导下相互牵制,形成电网状态检修的数学模型,并给出相应的解决方法。最后,为验证该理论研究的可行性,分别以可靠性测试系统RBTS-BUS6和IEEE-RTS79系统为例,对各种情况进行分析,体现了预期的效果,并期望为电网检修与运行协调决策理论的深入研究提供必要的理论基础。

Fuzzy Decision Method Applied in Action of Reactive Power Compensation Devices in Wind System

Frequent occurrence of large-scale cascading trip-off of wind turbine raises the concern about the decision process of ordered control of reactive power compensation devices. The theory of fuzzy multi-attribute decision making is adopted to ascertain the action sequence of reactive power compensation devices. First, a set of evaluation indexes including control sensitivity, regulation margin, response time, response level and cost is set up, and fuzziness of the proposed qualitative indexes is introduced to make them comparable to the proposed quantitative indexes. Then a method to calculate fuzzy weight of each index is put forward for evaluating relative importance of the proposed indexes. Finally, the action sequence of reactive power compensation devices is determined through the theory of fuzzy compromise decision making. The case study shows that the proposed method is effective to obtain the action sequence of reactive power compensation device which correspond to experience.

Intelligent Agent Technologies: The Work Horse of ERP E-Commerce

Agents are the new defacto standard for inclusion in modules of today’s software systems such as ERP systems, mobile applications and operating systems. Agents are an integral part of today’s software design. The question is how do intelligent agents work in the specific area of ERP credit card processing e-commerce models? To answer this question, a specific area of ERP systems will be analyzed: credit card processing for merchants. One specific merchant credit card processor will be specifically investigated: EVO Merchants. This paper will research how exactly does ERP systems interact using Application Programing Interface or “API” specified by a credit card clearing house. Secure Socket Layers or SSL, and XML are discussed and elaborated on specifically how intelligent agents play such a pivotal role in ERP e-commerce systems for credit card processing.

工程博弈论-工程优化决策中的博弈思想、原理及应用

实际工程优化决策问题中经常会面临多决策主体、多决策目标以及不确定性等复杂场景,常规的优化决策方法有较大局限性.受钱学森先生名著《工程控制论》的启发,将工程决策问题中应用博弈论基本概念、建模方法、求解算法并考虑复杂工程技术条件进行决策的理论称为“工程博弈论”.本文简要介绍了博弈论的基本理论,并阐释了工程博弈论“以均衡协调冲突”的基本思想.在此基础上分别介绍了不确定性决策问题的非合作工程博弈原理、多目标决策问题的合作工程博弈原理和多主体决策问题的演化工程博弈原理及其在能源电力系统中的部分典型工程应用.本文希望通过对相关进展的介绍可以吸引更多的研究者进入这一领域,共同完善工程博弈论的相关基础理论和方法,使之在更多的领域中得到更广泛的应用.

基于绿电减排量互认的建筑虚拟电厂电-碳双层协同决策机制

在“双碳”背景下,电-碳多政策并举和多市场并存局面带来了电能环境权益重复奖惩的问题。针对该问题,提出了基于减排量等效的绿色电力-国家核证自愿减排量(CCER)互认方法,将绿色电力的环境权益统一归属至用户侧,并以建筑主体为研究对象对互认方法进行验证。首先,依据减排特性差异,将建筑分为强制性建筑、减排性建筑、零碳建筑3类,以建筑虚拟电厂为CCER互认的代理。其次,针对建筑虚拟电厂内部CCER分配问题,提出了基于Shapley值法的分配方法,以保证分配的公平和合理性。然后,针对建筑主体面临的电-碳协同决策问题,提出了基于能源共享原则的电-碳双层协同交易机制,并基于主从博弈理论构建双层决策模型,结合供需比概念对模型进行凸化。最后,通过算例仿真验证了互认方法的可行性及电-碳双层协同决策机制的有效性。

女性就业、家庭决策权及其幸福感

经济赋权是增进女性获得感、安全感和幸福感,实现共同富裕的重要措施。使用2017年中国综合社会调查数据(CGSS),采用OLS模型,实证检验女性就业参与对其幸福感的影响及作用机制。研究表明:有薪酬的劳动力市场就业参与对女性幸福感存在显著的积极影响,已就业参与女性较未就业参与女性的幸福感明显更高。该结论在利用处理效应模型(TEM)和拓展回归模型(ERM)尽可能缓解内生性问题,以及进行一系列稳健性检验后,仍然成立。异质性分析表明,对于性别分工观念平等、性别就业价值观念平等以及配偶在业的女性,其就业参与的幸福效应更强。机制分析表明,家庭决策权是女性就业参与提升其幸福感的重要渠道。已就业参与女性在父母奉养、子女教养和家用支出分配等方面拥有决策权的概率,分别是未就业参与女性的1.514倍、1.471倍和1.276倍。拓展分析表明,与未就业参与相比,非正规就业参与、正规就业参与均能有效提升女性幸福感。因此,增进女性福祉,既要鼓励女性有薪酬的劳动力市场就业,又要发展并规范非正规就业劳动力市场,还要树立平等的性别观念。

食品安全风险监测计划何以高效决策?——基于组织规范构造的视角

食品安全风险监测计划决策的时效性、科学性乃至执行效率,往往受制于相关政府职能部门的组织机构建制水平。有必要基于组织规范构造的视角,围绕所涉政府职能部门的权责配置与职权行使事项,来系统性约束和保障其机构能力。一方面,应针对专有权责与共有权责来设定其权责配置规范,以彰显相应职能部门在该类决策过程中的差异性决策设计与多元化决策考量。另一方面,应针对监测计划设置与监测信息传递来设定其职权行使规范,以厘清相应职能部门在该类决策过程中的内部决策定位与外部决策整合。最终尝试依托复合决策维度中、决策要素驱动下的协同履职,来明晰实现高效决策的可行规范进路。

长短期财政政策不确定性、企业创新决策与全要素生产率

笔者通过构建包含财政政策反应函数的成分GARCH模型测度了长期和短期财政政策不确定性,基于中国A股上市公司的面板数据推断了长期和短期财政政策不确定性对全要素生产率的因果效应,并从理论和实证角度分析内在作用机制。研究发现:长期和短期财政政策不确定性对全要素生产率的影响方向不同,长期财政政策不确定性有利于全要素生产率提升,短期财政政策不确定性则降低全要素生产率。其中,企业创新决策是长短期财政政策不确定性影响全要素生产率的重要机制,长期财政政策不确定性鼓励企业选择增加创新的决策,而短期财政政策不确定性导致企业选择推迟创新的决策。短期财政政策不确定性对非国有企业全要素生产率的负面影响更大,而长期财政政策不确定性对不同所有权属性企业全要素生产率的影响无差异。

大数据时代的企业财务管理研究

大数据时代背景下,企业财务管理迎来了新的机遇和挑战。为提升企业核心竞争力、强化企业财务管理水平,文章分析了企业财务管理中存在的问题,从更新财务管理理念、提升财务决策能力、加强数智化建设和提高管理人员素质的角度探讨了大数据时代的企业财务管理优化及改革的实践策略,以期为推动企业持续健康发展提供帮助和参考。

新型电力系统中火电机组运营智慧决策系统

火电机组目前面对电力中长期合约市场、现货市场、辅助服务调峰调频市场,民用供热及工业供热等多种电热产品售卖途径,需要根据市场交易机制、运营成本及碳排放成本,在各种市场中优化分配有限的火电机组电热产品以获取最大利润。提出了火电机组运营智慧决策系统,采用通用开发平台,考虑了实时热电成本分摊、实时热电转换比、实时平衡利润比等,该智慧决策系统可以帮助火电企业实现实时的经营核算,并给出各级市场最优组合竞价策略及提供机组最佳运行方式。

超大型城市虚拟电厂的数字孪生框架设计及实践

超大型城市能源系统汇集了多种分布式能源资源(distributed energy resources,DER),包括具备不确定性的新能源发电单元(如光伏、风机),具备可调性的柔性用能单元(如空调、蓄冷)以及兼具充放功能的能源产消者(如电动汽车、储能),虚拟电厂(virtual power plant,VPP)已成为重塑上述DER生态关系并对其进行协同管控的有效途径。该文梳理了当前城市级VPP建设的目标与现状,明确了超大型城市VPP工程所面临的挑战,即对于由海量DER所诱发的多主体多目标高不确定性场景缺乏系统性的建模、仿真、推演、分析、决策与校核手段。为应对上述挑战,该文结合城市电网数字化整体架构与建设进程,提出了超大型城市VPP数字孪生技术框架,继而得以对城市能源系统的态势轨迹进行系统性地推演与分析;进一步,聚焦智能决策目标,探究了框架下的技术路径、关键技术、理论工具等。该框架已经助力临港新片区VPP工程示范落地,为城市级VPP建设提供参考。最后,展望了超大型城市下数字孪生VPP的研究方向与应用前景。

基于主从博弈的工业园区运营商与分布式光储用户购售电优化决策

随着分布式光伏大量接入园区用户侧,其随机性与波动性使得工业园区微电网下的能量管理愈发困难,储能为缓解上述问题提供了有效的手段。为实现园区用户侧新能源高效消纳及储能资源合理利用、兼顾多园区用户的利益诉求,提出一种基于主从博弈的工业园区运营商与分布式光储用户购售电优化模型。模型中利用工业园区用能运营商对多用户的能量进行统一管理,利用价格信息引导园区用户调整用电策略,利用分布式储能“低储高发”特性协调运营商与用户间的能量交互;并通过仿真算例验证所提方法的可行性和有效性。结果表明:基于主从博弈的工业园区运营商与分布式光储用户购售电优化决策,能够兼顾园区运营商和用户的经济性,促进新能源与储能的协同发展。

基于调和概率语言术语集的Power平均算子

实践发现现存概率语言Power平均算子在应用中存在概率信息丢失、计算过于繁琐等问题,针对这些问题,提出一种基于调和概率语言术语集的Power平均算子。结合新的基本运算法则与新的支撑度,给出新的概率语言Power平均算子、概率语言Power几何平均算子、概率语言Power加权平均算子、概率语言Power加权几何平均算子,同时论证分析了这几类新型算子的性质。最后通过实验数据,将提出的算子与现存算子进行对比分析,验证了所提算子的有效性与可行性。