Study of multi-rate multi-user detection based on supervision decision

Multi-user detection (MUD) based on multirate transmission in code division multiple access (CDMA) system is discussed. Under the requirement of signal interference ratio (SIR) detection at base station and framework with parallel interference cancellation, a supervision decision algorithm based on pre-decision of probabilistic data association (PDA) and hard decision is proposed. The detection performance is analyzed and simulation is implemented to show that the supervision decision algorithm improves the detection performance effectively.

Research into the Decision-maker's Utility in the Enterprise's Decision System Based on Network Economy Environment

The decision system based on network economy is the foundation of enterprise's making good winning in its market. This paper describes the decision makers' utility model based on network economy, considers the roles decision-makers not only play in the enterprises are decision making, coordinating, controlling and monitoring, but also they are mainly designers, executants and educators in the mode of network economy

High Utility Periodic Frequent Pattern Mining in Multiple Sequences

Periodic patternmining has become a popular research subject in recent years;this approach involves the discoveryof frequently recurring patterns in a transaction sequence. However, previous algorithms for periodic patternmining have ignored the utility (profit, value) of patterns. Additionally, these algorithms only identify periodicpatterns in a single sequence. However, identifying patterns of high utility that are common to a set of sequencesis more valuable. In several fields, identifying high-utility periodic frequent patterns in multiple sequences isimportant. In this study, an efficient algorithm called MHUPFPS was proposed to identify such patterns. To addressexisting problems, three new measures are defined: the utility, high support, and high-utility period sequenceratios. Further, a new upper bound, upSeqRa, and two new pruning properties were proposed. MHUPFPS usesa newly defined HUPFPS-list structure to significantly accelerate the reduction of the search space and improvethe overall performance of the algorithm. Furthermore, the proposed algorithmis evaluated using several datasets.The experimental results indicate that the algorithm is accurate and effective in filtering several non-high-utilityperiodic frequent patterns.

BAYESIAN METHOD OF MACROECONOMICAL DECISION

A Bayesian decision method is considered,which is applied to analysingthe reform problem of economic system in our country.When the number of eco-nomic departments satisfies some certain cunditions,the optinial lengths and optimalallocations are found in this paper.

Uncertainty and Its Description in Decision Models

Various perspectives in uncertainty are briefly summarized in this paper, and the classification of uncertainties is discussed. The descriptions of different classes of uncertainty are also presented. Furthermore, a risk representation model for decision-making analysis is provided.

Application of Operational Approaches to Solving Decision Making Problem Using Z-Numbers

The combination of fuzzy logic tools and multi-criteria decision making has a great relevance in literature. Compared with the classical fuzzy number, Z-number has more ability to describe the human knowledge. It can describe both restraint and reliability. Prof. L. Zadeh introduced the concept of Z-numbers to describe the uncertain information which is a more generalized notion closely related to reliability. Use of Z-information is more adequate and intuitively meaningful for formalizing information of a decision making problem. In this paper, Z-number is applied to solve multi-criteria decision making problem. In this paper, we consider two approaches to decision making with Z-information. The first approach is based on converting the Z-numbers to crisp number to determine the priority weight of each alternative. The second approach is based on Expected utility theory by using Z-numbers. To illustrate a validity of suggested approaches to decision making with Z-information the numerical examples have been used.

Quantum Model of Decision-Making in Economics

The paper designs a quantum model of decision-making (QMDM) that utilizes neuroscientific evidence. The new model provides both normative and positive implications to economics. First, it enhances the study of decision-making which is an extension of the expected utility theory (EUT) in mathematical economics. Second, we demonstrate how the quantum model mitigates drawbacks of the expected utility theory of today.

依达拉奉右莰醇治疗急性缺血性脑卒中的成本-效用分析

目的 评估依达拉奉右莰醇对比依达拉奉分别联合常规疗法治疗急性缺血性脑卒中患者的成本-效用。方法 从我国医疗卫生系统角度出发,利用依达拉奉右莰醇治疗急性缺血性脑卒中Ш期随机双盲对照试验(TASTE试验)的数据,构建决策树模型,运用成本-效用分析方法评价使用依达拉奉右莰醇后1个月及5年的健康获益;同时进行单因素敏感性分析、概率敏感性分析检验结果的稳健性。结果 对于急性缺血性脑卒中患者,依达拉奉右莰醇组患者1个月增量成本-效用比(ICUR)为53 212.89元/质量调整生命年(QALY),5年ICUR为49 631.25元/QALY,均小于我国2022年人均国内生产总值(85 698元)。单因素敏感性分析结果显示,2组改善患者NIHSS评分变化、2组改善概率及依达拉奉组恶化概率是对ICUR结果影响较大的因素;概率敏感性分析结果显示,当意愿支付阈值为1倍2022年我国人均国内生产总值时,依达拉奉右莰醇更具有经济性。结论 对于急性缺血性脑卒中患者,依达拉奉右莰醇相较于依达拉奉是更具有效性、经济性的治疗方案。

基于利益相关者的航道工程效用及决策分析

基于利益相关者理论,研究航道工程方案决策问题。将决策过程中所涉及的主要利益相关者分成管理部门、用户和其它利益相关者三类,基于不同利益诉求构建航道工程利益相关者效用评价指标及计算方法,提出反映利益相关者协同效应的航道工程方案综合评价模型。以长江某航道整治工程为例进行四种整治方案的决策优选,结果表明:四个整治方案中,方案一总效用最大,且各利益相关者利益满足约束条件,互适应协同度最高,推荐方案一。

基于APSIM模型模拟内蒙古春小麦不同土壤缺水条件下水氮优化管理模式

水分和氮肥是小麦生长最主要的两大限制因子,如何优化灌溉小麦高产稳产、获得农业资源高效和环境友好的水肥管理方案是亟待解决的生产问题。控制试验结果的推广受限于试验地点、年限和试验设计,而基于过程机理的作物模型则可有效解决这一问题,已成为探究作物种植管理决策、评估农业适应气候变化的有力手段和技术工具。本研究利用2010-2018年内蒙古自治区巴彦淖尔市临河区农业气象实验站春小麦‘永良4号’的试验观测资料(气象、作物、土壤和管理数据),确定模型中小麦生长发育关键参数;基于校准后模型及1986-2020年气象数据资料,设计不同干旱程度下多种智慧管理情景模式,结合水氮管理决策的遴选关键指标(产量、水肥施用量和水肥利用效率),确定春小麦水氮管理最优方案。结果表明:(1)基于APSIM模型春小麦发育期(出苗期、拔节期、开花期和成熟期)模块模拟值与观测值的RMSE在1.96~3.21d范围内;基于APSIM模型春小麦生长(叶面积指数、地上部干物质质量和产量)模块模拟值与观测值的RMSE分别为1.65、292.44g·m^(-2)和588.96kg·hm^(-2),APSIM模型可较好地定量模拟春小麦生长发育过程。(2)以产量、灌溉量、水分利用效率(WUE)、施氮肥量和氮素利用效率(NUE)为目标,得出土壤根层水分亏缺程度达40%(S3P40)和土壤根层水分亏缺程度达50%(S3P50)管理模式要优于其他管理模式。(3)与常规管理模式相比,以显著提高产量为生产目标,优选S3P40管理模式,产量提高14.4%;以稳产且减少水肥用量为生产目标,优选S3P50管理模式,灌溉量减少23.2%,施氮量减少32.4%。

情绪调节改善拖延行为的认知机制:任务厌恶中介作用

先前研究表明,使用适应性情绪调节策略越多则拖延行为越少,但情绪调节影响拖延行为的认知机制仍不清楚。拖延的时间决策模型认为拖延与否主要取决于任务厌恶与结果效用之间的权衡。因此,情绪调节可能是通过降低任务厌恶或提升结果效用来改善拖延。为探明此问题,本研究选取高拖延人群作为研究对象,分为积极重评组(34人)和无效策略组(34人),对两组被试进行了为期7天的经验采样法的纵向追踪(共14次)研究。结果发现:(1)后测中积极重评组执行意愿显著高于无效策略组,前测中两组无显著差异。(2)后测中积极重评组任务厌恶显著低于无效策略组,前测中两组无显著差异;后测中积极重评组结果效用显著高于无效策略组,前测中两组无显著差异。(3)任务厌恶降低量中介了情绪调节对拖延改善程度的作用,而结果效用提升量不能中介此作用。结果表明:情绪调节主要通过降低任务厌恶来提升执行意愿,从而降低拖延行为,这为从情绪调节角度干预拖延提供了坚实的理论依据。

基于多线性组合效用函数的智能服务组合选择

在进行智能服务开发时,企业往往面临从服务集合选择部分服务进行开发的问题。考虑智能服务结果的不确定性,以及决策者偏好信息和服务所需资源信息的不准确性,提出一种基于多线性组合效用函数的智能服务组合选择方法。首先,针对智能服务结果的不确定性,利用多线性组合效用函数构建组合选择目标函数,并在考虑服务之间资源交互的基础上,建立混合整数规划模型并求解最优化服务组合。然后,考虑决策者偏好、智能服务效用评定信息及所需资源信息不准确情形,进行鲁棒分析,将最优组合出现的频率及各个服务被选择的频率作为最终选择的重要参考。最后,以某重卡企业智能服务组合选择问题为例,验证了方法的可行性与有效性。

Decision Aid Model for Private-owned Electric Vehicles Participating in Frequency Regulation Ancillary Service Market

To reduce the difficulty and enhance the enthusiasm of private-owned electric vehicles(EVs) in participating in frequency regulation ancillary service market(FRASM), a decision aid model(DAM) is proposed. This paper presents three options for EV participating in FRASM, i. e., the base mode(BM), unidirectional charging mode(UCM), and bidirectional charging/discharging mode(BCDM), based on a reasonable simplification of users' participating willingness. In BM, individual EVs will not be involved in FRASM, and DAM will assist users to set the optimal charging schemes based on travel plans under the time-of-use(TOU) price. UCM and BCDM are two modes in which EVs can take part in FRASM. DAM can assist EV users to create their quotation plan, which includes hourly upper and lower reserve capabilities and regulation market mileage prices. In UCM and BCDM, the difference is that only the charging rate can be adjusted in the UCM, and the EVs in BCDM can not only charge but also discharge if necessary. DAM can estimate the expected revenue of all three modes, and EV users can make the final decision based on their preferences. Simulation results indicate that all the three modes of DAM can reduce the cost, while BCDM can get the maximum expected revenue.

配用电物联网的异构无线网络终端接入策略

论文提出了一种面向配用电物联网(PD-IoT)的异构无线通信网络最佳适配性动态接入策略。首先,引入网络属性效用函数,并基于聚合效用建立量化PD-IoT业务终端与无线网络适配性的评价模型;其次,综合考虑PD-IoT业务通信需求和通信网络性能来完成业务终端对各网络属性的动态定权;再次,引入网络切换控制机制以确保终端与无线网络间可靠的通信连接和通信质量;最后,通过案例仿真验证了论文异构网络接入选择策略的有效性。

基于“大数据+AI”的黑土地保护与利用智能决策关键技术研究

黑土地是一种性状好、肥力高的土壤,非常适合植物生长,广泛分布在黑龙江省、吉林省、辽宁省和内蒙古自治区,其对维护粮食安全和生态平衡极为重要。本研究将大数据与人工智能(Artificial Intelligence,AI)相结合,设计基于“大数据+AI”的黑土地保护与利用智能决策系统。该系统融合遥感、气候、土壤和人类活动数据,通过智能分析提供全面的土地退化监测和修复方案。本研究对提高黑土地保护效率、促进农业可持续发展具有重要意义。

孕早期胎儿结构畸形超声筛查的卫生经济学评价

目的通过成本-效用分析,评价孕早期行胎儿结构畸形超声筛查相比于孕中期行胎儿结构畸形超声筛查的经济性,为临床路径优化提供循证依据。方法从全社会角度出发,构建决策树模型,模拟孕妇于孕早期行胎儿结构畸形超声筛查(干预组)与于孕中期行胎儿结构畸形超声筛查(对照组)2种不同产前筛查方案的临床选择及转归路径,评估2组不同路径下的成本-效用情况。模型模拟时长为18周,临床转移概率和成本参数来源于深圳市南山区妇幼保健院数据,效用数据来源于已公开发表的文献。结果指标包括成本、质量调整生命年(qualityadjusted life years,QALYs)和增量成本-效果比(incremental cost-effectiveness ratio,ICER)。通过敏感性分析评估模型结果的稳健性。结果相比对照组,干预组可减少不必要的妊娠发生,以更少的总成本投入获得更多的QALYs,ICER为−161732.68元/QALY,具有绝对成本效果优势。概率敏感性分析表明基础分析结果具有稳健性,干预组具有成本效果的概率为94.60%。结论在全社会角度下,于孕早期进行胎儿结构畸形筛查相比于孕中期具有绝对的经济学优势。

基于改进成本法的公共数据要素资产估值研究

高效的公共数据资产估值定价体系是公共数据要素流通和价值释放的基础。在成本法的评估框架下,构建了包含数据完整性、数据准确性等8个维度在内的数据资产效用评价指标体系,利用纳入专家判断力权值和相似度权值的群决策层次分析法计算不同效用维度间的相对权重,并在此基础上,运用专家打分法和模糊综合评价法计算综合效用评分,进而提出改进成本法的公共数据要素资产评估模型。最后,以福建省政务数据汇聚共享平台数据资产为对象进行估值分析。研究结果表明,改进的成本法适用于尚未商业化的公共政务数据资产估值。这为未进入市场流通体系的公共数据资产估值提供了方法支持,也可为建立统一规范的公共数据资产价值评估准则体系提供参考。

军用教练机主最低设备清单编制方法研究

本文通过分析军用教练机、军用战斗机以及民航飞机的区别,研究国内外主最低设备清单(MMEL)编写规范及应用情况。探索军用教练机主最低设备清单项目确定原则、逻辑决断程序关系及限制条件,制定了一种适用于军用教练机的MMEL编制方法,可为提高军用教练机的利用率和训练效能提供参考。

Cost-effectiveness Assessment of Commonly-used Drugs for Hepatoprotection and Enzymes Reduction Based on Decision Tree and Multi-utility Theory

Objective Drugs for hepatoprotection and enzymes reduction are widely used in China but their economic analysis has been ignored in a rather long period of time. A suitable protocol for hepatoprotection and enzymes reduction was recommended in Longhua Hospital. Methods This study was conducted as a retrospective piece. Three therapeutic protocols （compound glycyrrhizic glycoside combined with aspartic ornithine injection, compound glycyrrhizic glycoside combined with phospha- tidylcholine, and compound glycyrrhizic glycoside combined with tiopronin） were selected. Seventy inpatient cases from January 2011 to February 2012 were enrolled and divided into three groups according to different regimens. The cost effectiveness of the three groups was respectively evaluated by incremental cost-effectiveness ratios （iCERs）. A decision tree model and multi attribution utility theory were also adopted to analyze the data. Results All the three regimens exhibited good effects on protecting liver functions and reducing the levels of enzymes. Among them, the protocol of compound glycyrrhizic glycoside combined with tioproni expressed the least ICER, the lowest cost but the highest score in the multi-utility. Conclusion The therapeutic method of compound glycyrrhizic glycoside combined with tiopronin is the most cost-effective option in this study.

Dynamic simulating model of the field resources utilizing system

In views of system theory, information theory and cybernetics, this paper utilizes the method of the system dynamics to create the field resources utilizing system main diagram of causation and system dynamic following diagram, uses the Dynamo computer language to construct the dynamic emulating model, and with the help of computer, completes the computer dynamic simulating of the field resources utilizing system. This paper utilizes the method of AHP （analytical hierarchy process） to seek for the most excellent program of Nanpi County＇s field resources utilizing structure. So we can provide scientific basis for leaders to make scientific management and strategic decision and the limited field resources will bring out the most benefit for society, economics and ecological.