基于潜艇先验航向信息的编队应召搜索研究

应召反潜是水面舰艇编队常用的反潜方式之一，现阶段研究的应召反潜方法多是在已知敌潜艇先验位置信息条件下的对潜搜索方法，而对于某些特定条件下的对潜搜索不具有普适性。在研究水面舰艇编队平行应召反潜的基础上，建立了潜艇初始位置和概略航向已知、航速未知条件下的水面舰艇编队对潜搜索概率基本模型，并进行了仿真评估。通过Matlab仿真，给出了水面舰艇数量、接敌速度、搜索速度和潜艇机动速度等因素对搜索概率的影响关系，为水面舰艇编队反潜作战提供了理论依据和技术支撑。     

舰艇智能兵力决策CBPN模型与实现研究

智能兵力作战决策支持是计算机生成兵力构建的重难点和核心内容,传统海战智能兵力作战决策系统难以满足决策知识空间增加对系统决策正确性和灵活性的要求,研究将Petri网建模方法与CXBR上下文推理方法相结合,提出了智能兵力CBPN图形化决策建模方法,依据舰艇智能兵力作战决策过程,分层构造了舰艇智能兵力作战行为模型,并建立了舰艇智能兵力决策支持的CBPN模型,实现了业务层和软件代码层解耦,最后构建了舰艇智能兵力的作战决策知识库.工程实现结果证明新方法能显著提高系统开发效率和智能兵力决策的灵活性,满足复杂作战仿真系统智能兵力作战决策支持需求.     

水面舰艇智能辅助决策系统研究

海军集团是联合作战的组成部分,该文以红蓝双方海上舰艇编队对抗为作战想定背景,以实时辅助指挥引导水面舰艇的作战行动为目的,采用面向分布式人工智能的理论技术方法,进行水面舰艇智能辅助决策系统研究,通过建立作战智能体作为MAS系统应用智能体的新概念,根据联合作战水面舰艇指挥系统的总体结构、作战信息流程和功能模块划分,给出了水面舰艇智能辅助决策MAS系统的Agent组成,Agent主体结构,Agent功能分类,系统的运行流程,最后提出和建立了作战指挥控制系统的MAS体系结构模板,构造了水面舰艇智能辅助决策形式化结构模型和构成框架,为解决联合作战水面舰艇作战指挥控制决策问题提出了一种新的思路和方法。     

水面舰艇编队拖曳声纳舰阵位配置及行动方法

研究水面舰艇编队优化问题,由于潜艇对水面舰艇编队构成严重威胁,为有效保护舰艇安全,选择声纳舰的位置十分重要.拖曳声纳舰作为水面舰艇编队主要对潜警戒信号,对阵位配置及行动方法对编队的反潜效能影响巨大.针对水面舰艇编队航渡中近程拖曳声纳舰的阵位配置问题,提出了一种方法.通过对舰艇编队反潜警戒区的划分,总结了拖曳声纳舰阵位配置原则,建立了关于拖曳声纳舰阵位的模型,仿真计算了各种参数对拖曳声纳舰阵位的影响,并提出了拖曳声纳舰“蛙跳”行动的方法,并进行仿真.结果表明,方法有效,为指挥员编队决策提供了参考依据.     

作战模拟方法的水面舰艇反导作战效能评估

在对抗仿真的基础上研究了水面舰艇对来袭导弹的作战效能.在分析水面舰艇反导作战过程的基础上,结合水面舰艇反导的特点,提出了基于攻防对抗仿真的反导作战效能评估一般可采用的四个环节.并采用自顶向下的分析方法,建立了水面舰艇反导作战效能评估的指标体系.还对反导作战效能评估方法和仿真模型的建立、仿真平台设计等进行了研究.最后以两艘水面舰艇对抗为例评估了水面舰艇的反导作战效能.结果表明该方法合理可行.     

基于STAGE对抗仿真的水面舰艇作战能力评价

对水面舰艇使命任务和作战能力构成进行分析,提出了基于作战想定和其仿真结果的评价体系,构建了水面舰艇作战仿真模型体系。指出基于STAGE的对抗仿真关键是将仿真模型体系与STAGE模型框架的接口统一设计。在STAGE平台以舰艇防空作战想定为背景进行对抗仿真实现,说明了添加用户模型和脚本用语言开发方法,建立了基于仿真统计结果的方面作战能力计算模型。最后,以一组我国服役驱逐舰作战能力分析的仿真实例验证了基于对抗仿真的水面舰艇作战能力评价方法,结果表明该评价方法是合理的。     

水面舰艇作战能力研讨式评估软件设计

针对传统的水面舰艇作战能力评估方法未能充分发挥计算机的计算能力和专家的知识与经验的综合作用,在分析水面舰艇作战能力指标体系的基础上,提出了基于综合集成研讨技术的研讨式评估方法,设计并开发了评估软件,阐述了人机交互系统、人工语言系统以及问题求解系统等三个子系统的功能,介绍了软件操作流程。实例应用表明,该软件可为专家评估水面舰艇作战能力提供良好的研讨工具。     

CGF在海上机动编队一体化训练模拟系统中应用研究

计算机生成兵力(CGF)技术在水面舰艇编队智能化生成和仿真方面有着十分广阔的应用前景.该文从计算机生成水面舰艇编队兵力(CGSF)实体模型入手,研究了水面舰艇单舰及战斗编队、舰载直升机和潜艇等海上机动编队兵力一体化训练的作战模拟,构建了CGSF在执行作战任务过程中的战术机动仿真模型和攻防对抗智能决策仿真模型体系,重点介绍了编队队形变换和武器通道组织仿真模型的建立.通过在一体化训练模拟系统中应用表明,采用CGF可以提高水面舰艇编队兵力生成和仿真的智能化程度,比较逼真地实现人机攻防对抗训练.最后分析了在训练模拟系统中应用存在的主要问题及解决思路.     

舰载冲淡干扰设备作战效能分析的计算机仿真

电子对抗作战效能分析是一个非常复杂的问题，尚未形成统一，有效的分析方法。该文针对以往水面舰艇冲淡干扰设备的作战效能分析没有充分考虑干扰设备的战术运用，存在误差大，不能准确反映舰艇指挥员指挥决策水平等不足，通过对舰载冲淡干扰设备的使用研究，提出了利用计算机仿真分析的解决方法。     

基于图论分析法的舰艇作战系统损伤评估研究

舰艇作战系统损伤评估是舰艇损伤评估的重要组成部分。舰艇作战系统损伤评估可以采用损伤树分析法,但是损伤树分析法难以精细的评估舰艇作战系统的损伤,现采用图论分析法对其进行损伤评估。图论分析法评估的步骤如下:首先,建立舰艇作战系统的作战运行模型;其次,将舰艇作战系统的作战运行模型转化为损伤评估的图论模型;再次,对图论模型进行求解。为了对比分析,最后分别运用图论分析法和损伤树分析法进行舰艇反潜模型的损伤评估。从评估结果可以得出:图论分析法的分析结果更全面、精确,更适合评估舰艇作战系统的损伤。     

基于Vague集的模糊决策方法

目前在智能领域中对Vague集的研究已越来越广泛与深入．并运用于决策问题中．为了更加有效地进行模糊决策，提出了一个基于Vague集的模糊决策方法．在这个方法中，对约束条件，从它出现的可能性和不出现的可能性以及未知是否出现的可能性三个方面去综合处理．使得决策更加准确和有效．还给出了一个实例说明这种基于Vague集的模糊决策方法．这个基于Vague集的模糊决策方法的提出，为决策系统提供了一个有用的工具．     

基于Vague集模糊推理的多评价指标模糊决策方法

目前在智能领域中对Vague集的研究已越来越广泛与深入，并运用于决策问题中，有学者已把Vague集用于多评价指标的模糊决策中，但其决策方法在某些时候却难以得到目标。为此，本文提出了一个基于Vague集模糊推理的多评价指标模糊决策方法。在这个方法中，从基于Vague集的模糊推理的观点来看待模糊决策问题。将评价指标和候选方案之间的关系用一组基于Vague集的推理规则来表示，将决策者的要求用一组Vague集来表示，经过模糊推理等过程最后得到决策结果。然后还给出了一个实例说明这种多评价指标模糊决策方法。这个基于Vague集模糊推理的多评价指标模糊决策方法的提出为决策系统提供了一个有用的工具。     

An AHP-based approach toward enterprise architecture analysis based on enterprise architecture quality attributes

Enterprise Architecture (EA) as a discipline that manages large amount of models and information about different aspects of the enterprise, can support decision making on enterprise-wide issues. In order to provide such support, EA information should be amenable to analysis of various utilities and quality attributes. In this regard, we have proposed the idea of characterizing and using enterprise architecture quality attributes. And this paper provides a quantitative AHP-based method toward expert-based EA analysis. Our method proposes a step-by-step process of assessing quality attribute achievement of different scenarios using AHP. By this method, most suitable EA scenarios are selected according to prioritized enterprise utilities and this selection has an important affect on decision making in enterprises. The proposed method also introduces a data structure that contains required information about quality attribute achievement of different EA scenarios in enterprises. The stored asset can be used for further decision making and progress assessment in future. Sensitivity analysis is also part of the process to identify sensitive points in the decision process. The applicability of the proposed method is demonstrated using a practical case study.     

基于数据仓库的企业DSS开发

本文结合实际开发经验,提出信息系统开发的一种新思路,即在ＭＩＳ系统基础之上建立数据仓库,又以数据仓库为基础建立决策支持系统。     

Interactive multiple objective linear programming system implemented on a microcomputer

Linear programming is one of the most widely used Operations Research/Management Science techniques. Recently, multiple objective decision making has been well established as a practical approach to seek a satisfactory solution to a decision making problem. Much attention has been focused on a microcomputer as an economical management tool.

In this paper we propose an interactive goal attainment method using the eigenvector algorithm for solving a multiple objective linear programming problem interactively on microcomputers. In the software package Micro-LPS based on the method proposed, we design a conversational and user-friendly system in which the user commands are involved.     

An approach to group decision making with hesitant information and its application in credit risk evaluation of enterprises

Hesitant multiplicative preference relation (HMPR) contains much more comprehensive information than the traditional multiplicative preference relations. The HMPR is a useful tool to help the decision makers express their preferences in group decision making under uncertainty. The key of group decision making with the HMPR is to derive the priority weights from the HMPR. Thus, an efficient and practical priority method should be put forward so as to ensure the reasonability of the final decision result. In order to do that, in this paper, we first introduce the expected value and the geometric average value of hesitant multiplicative element (HME) which is the component of the HMPR. Then from different perspectives, we utilize the error-analysis technique to put forward three novel methods for the priorities of the HMPR, i.e., the expectation value method, the geometric average value method, and the multiplicative deviation method. We also investigate the relationships among these methods, and develop an approach to group decision making with the HMPR by using the methods and the possibility degree formula. Finally, by constructing the indicator system for credit risk evaluation of supply chain enterprises, we make a detailed case study concerning Lu-Zhou-Lao-Jiao (the well-known liquor enterprise in China) to demonstrate our approach.     

A novel approach for constructing privacy-aware architecture utilizing Shannon's entropy

The right to privacy refers to an individual's decision about how personal information can be gathered, utilized, and disseminated. Individual consent and openness are the most important foundations for gaining consumers' confidence, and this pushes businesses to use privacy-enhancing techniques while developing systems. The purpose of a privacy-aware design is to safeguard data in such a manner that it does not expand an adversary's current understanding of an individual beyond what would be permitted. When these data pieces are coupled with the plethora of source data accessible outside the system to identify a user, this becomes crucial. Individual privacy is protected by privacy rules all around the globe, but they are often complicated and ambiguous, making their translation into practical and technologically privacy-friendly structures difficult. The main contribution of this article is that we use Shannon's entropy (SE) to construct an objective measure that may guide our major technical design choices. And for privacy-aware architecture, simplifying the state-of-the-art security approaches given in the literature.     

FLM-TOPSIS: The fuzzy linguistic multiset TOPSIS method and its application in linguistic decision making

Linguistic decision making is an important subject in decision making, many interesting and important linguistic decision making methods have been proposed, in which, alternatives-criteria decision matrix are uniformly used to express linguistic assessments of alternatives provided by decision makers with respect to criteria. Alternatives-criteria decision matrixes have some limitations when we use them to distinguish distinct, partial unknown or hesitant linguistic decision making or carry out linguistic decision making in the huge amounts of decision information and alternatives. In this paper, we propose alternatives-linguistic terms decision matrix to represent linguistic assessments of alternatives, analyze advantages of the decision matrix in representing linguistic assessments and distinguishing distinct, partial unknown or hesitant linguistic decision making. To simple and fast fuse alternatives-linguistic terms decision matrixes, we further provide linguistic multiset or fuzzy linguistic multiset to represent linguistic assessments in alternatives-linguistic terms decision matrixes, analyze the function properties of the fuzzy linguistic multiset. Motivated by fuzzy multiset and the TOPSIS method, we develop the fuzzy linguistic multiset TOPSIS method for linguistic decision making, the method is mainly consisted of transformation, aggregation and exploitation phases. In transformation phase, linguistic assessments of alternatives are transformed into fuzzy linguistic multisets by using alternatives-linguistic terms decision matrixes. In aggregation phase, we use Union, Intersection and Sum operations of multisets to obtain the positive and negative ideal solutions of linguistic decision making, which are different with the positive and negative ideal solutions of the traditional TOPSIS method, in addition, we provide a pseudo-distance between two fuzzy linguistic multisets to fast fuse linguistic assessments of alternatives. In exploitation phase, we define a new closeness degree of alternative by using pseudo-distances between the alternative and the positive and negative ideal solutions, which can be used to obtain the set of most satisfying alternatives. We also design an algorithm to carry out linguistic decision making based on the proposed method. In cases study, we use two practical examples to illustrate the practicality of the proposed method and compare it with the symbolic aggregation-based method, the hesitant fuzzy linguistic TOPSIS method, the hesitant fuzzy linguistic VIKOR method and the probabilistic linguistic term sets TOPSIS method, results indicate that alternatives-linguistic terms decision matrix and fuzzy linguistic multiset are alternative, useful and flexible tools for linguistic decision method and the fuzzy linguistic multiset TOPSIS method is suitable to deal with partial unknown or hesitant linguistic decision making.     

An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method

Traditionally, most importance-assessing methods used to demonstrate the importance among criteria by preference weightings are based on the assumptions of additivity and independence. In fact, people have found that using such an additive model is not always feasible because of the dependence and feedback among the criteria to somewhat different degrees. To solve the issue the analytic network process (ANP) method is proposed by Saaty. The general method is easy and useful for solving the above-mentioned problem. However in ANP procedures, using average method (equal cluster-weighted) to obtain the weighted supermatrix seems to be irrational because there are different degrees of influence among the criteria. Therefore, we intended to propose an integrated multiple criteria decision making (MCDM) techniques which combined with the decision making trial and evaluation laboratory (DEMATEL) and a novel cluster-weighted with ANP method in this paper, in which the DEMATEL method is used to visualize the structure of complicated causal relationships between criteria of a system and obtain the influence level of these criteria. And, then adopt these influence level values as the base of normalization supermatrix for calculating ANP weights to obtain the relative importance. Additionally, an empirical study is illustrated to demonstrate that the proposed method is more suitable and reasonable. By the concept of ideal point, some important conclusions drawn from a practical application can be referred by practitioners.