THE FUZZY GENERALIZED OWA OPERATOR AND ITS APPLICATION IN STRATEGIC DECISION MAKING

We present the fuzzy generalized ordered weighted averaging (FGOWA) operator. It is an extension of the GOWA operator for uncertain situations where the available information is given in the form of fuzzy numbers. This generalization includes a wide range of mean operators such as the fuzzy average (FA), the fuzzy OWA (FOWA), and the fuzzy generalized mean (FGM). We also develop a further generalization by using quasi-arithmetic means that we call the quasi-FOWA operator. The article ends with an illustrative example where we apply the new approach in the selection of strategies.     

INTUITIONISTIC UNCERTAIN LINGUISTIC WEIGHTED BONFERRONI OWA OPERATOR AND ITS APPLICATION TO MULTIPLE ATTRIBUTE DECISION MAKING

With respect to multiple attribute decision making (MADM) problems, in which attribute values take the form of intuitionistic uncertain linguistic information, a new decision-making method based on the intuitionistic uncertain linguistic weighted Bonferroni OWA operator is developed. First, the score function, accuracy function, and comparative method of the intuitionistic uncertain linguistic numbers are introduced. Then, an intuitionistic uncertain linguistic Bonferroni OWA (IULBOWA) operator and an intuitionistic uncertain linguistic weighted Bonferroni OWA (IULWBOWA) operator are developed. Furthermore, some properties of the IULBOWA and IULWBOWA operators, such as commutativity, idempotency, monotonicity, and boundedness, are discussed. At the same time, some special cases of these operators are analyzed. Based on the IULWBOWA operator, the multiple attribute decision-making method with intuitionistic uncertain linguistic information is proposed. Finally, an illustrative example is given to illustrate the decision-making steps and to demonstrate its practicality and effectiveness.     

基于OWA算子的不同形式偏好信息的群决策方法

研究具有不同形式偏好信息的群决策问题.在描述效用值、序关系值、模糊判断矩阵和AHP判断矩阵等4种形式偏好信息的基础上,首先给出将不同形式的偏好信息转化为模糊判断矩阵形式的计算公式,然后基于OWA算子给出集结各决策者偏好信息和方案优选的方法,最后用一个算例证明了所提出方法的有效性.     

MULTICRITERIA SORTING METHODOLOGY: APPLICATION TO FINANCIAL DECISION PROBLEMS

Abstract

The primary objective in the sorting approach is to assign a set of alternatives into predefined classes. This type of problem is often encountered in many real world decision problems. During the last two decades several new approaches have been proposed to overcome the shortcomings of traditional statistical and econometric techniques. This paper focuses on the multicriteria decision aid (MCDA) approach; it briefly reviews the main MCDA sorting techniques, and presents the multigroup hierarchical discrimination method. This new MCDA sorting technique is applied to the portfolio selection problem. A comparison with discriminant analysis is also performed. Furthermore, the efficiency of the proposal approach can be easily improved for solving large-scale problems in a multiprocessing environment.     

模糊数学在企业信息处理中的应用--模糊人事评价及人事安排、岗位培训决策支持系统

本文讨论了模糊数学在企业信息处理中的应用。提出了模糊人事评价体系,以及企业人事安排、企业员工技能培训等方面的模糊决策支持数学模型。     

Weighted‐selective aggregated majority‐OWA operator and its application in linguistic group decision making

This paper focuses on the aggregation operations in the group decision‐making model based on the concept of majority opinion. The weighted‐selective aggregated majority‐OWA (WSAM‐OWA) operator is proposed as an extension of the SAM‐OWA operator, where the reliability of information sources is considered in the formulation. The WSAM‐OWA operator is generalized to the quantified WSAM‐OWA operator by including the concept of linguistic quantifier, mainly for the group fusion strategy. The QWSAM‐IOWA operator, with an ordering step, is introduced to the individual fusion strategy. The proposed aggregation operators are then implemented for the case of alternative scheme of heterogeneous group decision analysis. The heterogeneous group includes the consensus of experts with respect to each specific criterion. The exhaustive multicriteria group decision‐making model under the linguistic domain, which consists of two‐stage aggregation processes, is developed in order to fuse the experts’ judgments and to aggregate the criteria. The model provides greater flexibility when analyzing the decision alternatives with a tolerance that considers the majority of experts and the attitudinal character of experts. A selection of investment problem is given to demonstrate the applicability of the developed model.     

AN EVALUATION OF THE USEFULNESS OF EXPLANATION IN A CASE-BASED REASONING SYSTEM FOR DECISION SUPPORT IN BRONCHIOLITIS TREATMENT

The research presented here explores the hypothesis that the deployment and acceptance of decision support systems in medicine will be enhanced if the basis for the recommendation produced by the system is apparent. We describe a decision support system for advising on patients suffering from bronchiolitis. This system supports its recommendations with precedent cases selected to support the recommendation along with justification text that highlights aspects of these cases relevant to the query case. It also presents an estimate of its confidence in the recommendation. The main contribution of this paper is an evaluation of this system in a clinical context. The evaluation shows that this type of explanation does enhance the usefulness of the system for practitioners.     

供应商选择的决策支持系统

供应商的选择是供应链管理中至关重要的组成 部分．本文在分析了敏捷制造模式下,供应商选择评估系统的功能需求的基础上,结合决策 支持系统（DSS）的新发展、新技术,提出了供应商选择决策支持系统的一种实现策略．     

面向对象的专家系统及其在柔性制造系统调度决策中的应用

本文把面向对象的方法用于专家系统的设计。文中结合柔性制造系统调度决策系统的设计，讨论了面向对象的知识获取、面向对象的知识表示及面向对象的推理的实现。文中介绍了面向对象的专家系统的实现软件。给出了实验结果。     

毕达哥拉斯模糊优先集成算子及其决策应用

作为直觉模糊集的推广形式,毕达哥拉斯模糊数能更好地刻画现实中的不确定性,此外在某些问题上,方案的属性之间往往具有优先关系,针对此类信息的集成问题,将毕达哥拉斯模糊数与优先集成算子相结合,提出了毕达哥拉斯模糊优先集成算子,包括毕达哥拉斯模糊优先加权平均算子和毕达哥拉斯模糊优先加权几何算子,并讨论了这些算子的性质。在此基础上,提出了毕达哥拉斯模糊优先集成算子的多属性决策方法,最后将其应用于国内四家航空公司服务质量评价中,说明了该算子的有效性和可行性。     

毕达哥拉斯模糊Heronian算子的多属性决策方法

针对毕达哥拉斯模糊环境下的多属性决策问题中的信息集成问题,其中方案的属性间相互关联相互影响,提出了一种毕达哥拉斯模糊Heronian算子的多属性决策方法。首先将毕达哥拉斯模糊数与Heronian算子相结合,提出了毕达哥拉斯模糊Heronian算子和毕达哥拉斯模糊加权Heronian算子,并讨论了这些算子的性质,给出了相应的证明。在此基础上,提出了基于毕达哥拉斯模糊Heronian算子的多属性决策方法;最后将其应用到国内四家航空公司服务质量评价中,说明了该算子的有效性和可行性。     

A CASE-BASED DECISION SUPPORT SYSTEM FOR INDIVIDUAL STRESS DIAGNOSIS USING FUZZY SIMILARITY MATCHING

Stress diagnosis based on finger temperature (FT) signals is receiving increasing interest in the psycho-physiological domain. However, in practice, it is difficult and tedious for a clinician and particularly less experienced clinicians to understand, interpret, and analyze complex, lengthy sequential measurements to make a diagnosis and treatment plan. The paper presents a case-based decision support system to assist clinicians in performing such tasks. Case-based reasoning (CBR) is applied as the main methodology to facilitate experience reuse and decision explanation by retrieving previous similar temperature profiles. Further fuzzy techniques are also employed and incorporated into the CBR system to handle vagueness, uncertainty inherently existing in clinicians reasoning as well as imprecision of feature values. Thirty-nine time series from 24 patients have been used to evaluate the approach (matching algorithms) and an expert has ranked and estimated similarity. On average goodness-of-fit for the fuzzy matching algorithm is 90% in ranking and 81% in similarity estimation that shows a level of performance close to an experienced expert. Therefore, we have suggested that a fuzzy matching algorithm in combination with CBR is a valuable approach in domains, where the fuzzy matching model similarity and case preference is consistent with the views of domain expert. This combination is also valuable, where domain experts are aware that the crisp values they use have a possibility distribution that can be estimated by the expert and is used when experienced experts reason about similarity. This is the case in the psycho-physiological domain and experienced experts can estimate this distribution of feature values and use them in their reasoning and explanation process.     

基于辅助决策支持系统的凿井设备选型与布置系统的设计与应用

深立井施工中凿井设备的选型与布置是一项复杂的工作,设计时需要考虑的因素多,且计算量大。因此设计一套凿井工程设备选型与布置设计系统,具有较大的理论与实用价值。基于决策支持系统思想,对千米以上的深井凿井设备的选型与布置系统的理论设计与实际的应用研究。系统由对话子系统、数据子系统和模型子系统三部分组成,通过设计多层菜单方法控制各个部分,实现人机对话,同时采用插件式管理,并尽可能使用动态化设计,以提高系统的灵活性。系统可以实现凿井设备的选型、凿井设备的布置与优化、计算任务书和设备布置的平、剖面图的自动生成等功能,为凿井设备的选型与布置提供新的服务载体。最后结合千米深井的凿井设备选型与布置问题,对该凿井设备选型与布置系统的应用进行了说明。     

用于运输调度的决策支持系统

本文研究了一类新的 DAR 问题,并针对这一问题提出了一种两阶段启发式算法.算法所允许的输入容量为5000个顾客,20辆车体.本文并设计了一个基于优化的决策支持系统,以辅助这种特殊的运输调度问题.该决策支持系统已在 IBM-PC/XT 微机上实现,经过今年的实际使用表明:每年带来的经济效益50万元.     

IPEAS：适用于建设项目经济评价的决策支持系统

建立有效的建设项目经济评价决策支持系统对于科学决策，减少投资失误有重要意义，本文介绍了一个新型建设项目评价决策支持系统ＩＰＥＡＳ的开发方法，体系结构设计及实现，并对如何利用ＩＰＥＡＳ进行经济评价决策活动作了描述，最后，本文总结了ＩＰＥＡＳ区虽于以往系统的显著优点。     

基于Internet支持群组决策的工作流管理系统的设计与实现

工作流管理是ＣＳＣＷ中的一个重要领域．采用工作流管理系统企业能够简单快速地实现业务处理过程,迅速适应市场的变化,从而获得更好的经济效益．本文介绍了一个基于Ｉｎｔｅｒｎｅｔ并支持群组决策的工作流管理平台——ＮＥＵＷｏｒｋ的设计模型,讨论了ＮＥＵＷｏｒｋ实现中的几个关键问题——基于功能网的图形化工作流模型建立工具,协调机制的实现及群组决策支持的实现．     

建筑设计专家决策设计系统模型框架

基于对专家系统，知识库，语言等基础知识的分析，研究，建立了以专家系统为主要组成，以知识库为接口标准的专家决策设计系统（ＥＤＤＳ），对建筑设计智能ＣＡＤ作了初步探讨，并给出了一个ＥＤＤＳ在建筑结构抗震选型中的应用实例，论证了ＥＤＤＳ的可实现性。     

基于知识的城市交通拥挤疏导决策支持系统的构造

本文首先分析了当发生交通拥挤时，城市道路 交通状况的特点，表明建立智能化城市交通拥挤疏导决策支持系统的重要性．在此基础上， 提出了系统的设计思想，系统结构、功能及其实现方法．该系统融合了丰富的交通拥挤管理 知识，采用定性推理和定量计算相结合的工作方式进行决策问题的求解，最终实现一个基于 知识的决策系统，并且遵照本文提出的系统构造，在苏南某城市开发的实际系统已投入运行 ，实践表明系统构造是有效的．