模糊群决策在虚拟企业合作伙伴选择中的运用

本文在分析虚拟企业合作伙伴中,综合考虑各专家偏好特性对决策结果的影响,提出运用语言信息标度对各指标进行评价,建立合作伙伴选择的模糊群决策模型。最后用实例验证了该模型的可行性和可操作性。     

模糊群决策在物流选址中的运用

运用模糊群决策理论,考虑在信息集结时应在隶属度最大的情况下,使最终群组意见和各专家意见的偏离度最小,建立了一个确定群组综合决策矩阵的二层规划模型,从而给出了一个物流中心选址的模糊群决策模型。运用本文方法可以直接得到实数型群组综合决策矩阵,避免了模糊数群决策中对模糊数的运算和排序。     

基于效用的群决策方法在风险性决策中的应用

群效用函数,把群决策用于风险决策中能够得到满意的决策方案。在风险决策中,各种后果效用并不是一个决策者的效用,是群体决策而产生的群效用,用群效用函数来确定决策方案对风险决策是有效可行的。     

嵌入企业簇群的中间商

介于消费者与生产企业之间的企业簇群中间商,是簇群中非常活跃和十分重要的部分,发展企业簇群要重视对中间商及其功能的研究.簇群中间商不仅使簇群中企业之间的交易成本大大降低,还在企业簇群中扮演市场制造和运作者、风险的降低者、产品与服务质量的保障者及企业家利润的创造者等重要角色.     

基于改进多属性群决策的国有企业经营者选择研究

国有企业经营者选择机制与方法的转变是国有企业改革的重点之一,针对经营者选择的研究多集中在定性分析。在经营者能力信号传递研究基础上,引入针对企业自身特点的能力评价指标,通过权重模糊差异对能力评价指标权重进行修正,利用改进多属性群决策方法对候选经营者进行能力评估与选择,并通过一个实例演示该方法的决策过程。     

模糊统计理论在经济决策中的应用

本文首先介绍了将模糊综合评判用于经济现象的模糊统计分析的可行方法,进而应用模糊分析法中的模糊综合评判法,辅以系统工程中的层次分析法,并以项目投资为例,对多备选投资方案对象进行了优选,有效地克服了专家评分法的不足。     

基于模糊综合评判的厂址选择决策研究

文章在分析影响工业企业厂址选择决策的场地条件、燃料动力供应、资源原材料供应、市场条件、交通运输条件、环保及治理、政治法律环境等因素的基础上,建立了两级评价指标体系,运用模糊综合评判的原理和方法进行评选,并用一案例说明其应用。     

模糊多属性决策法在配送中心选址中的应用

依据配送中心选址的主要因素,从基础设施、自然环境、社会效益、费用以及服务水平等几个方面建立多级评判指标体系,并提供两种模糊多属性决策法对备选配送中心进行优选和排序。最后一个算例方法客观反映实际情况,具有可行性。     

基于指标优先度的多属性群决策方法研究

在研究互反矩阵的基础上给出了指标优先度的定义,并且在理想点,相对贴近度的角度给出了模糊群决策的方法,此方法简单实用。最后给出了一个实例论证了它的可行性和实用性。     

区间型决策在虚拟企业合作伙伴选择中的运用

在分析虚拟企业合作伙伴中,综合考虑专家偏好特性对决策结果的影响,提出运用区间数标度对各指标进行评价,运用连续区间数有序加权算子(C-OWA)将区间型评价值转成实数值,从而建立了区间型数值的虚拟企业合作伙伴选择的决策模型,最后通过实例分析验证了该模型的实用性和可操作性。     

Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks

A practicing industrial engineer, even an experienced decision maker, needs help in the sense that there is a necessity to use more logical or analytical decision support tools, especially when dealing with control and instrumentation projects which are often worth millions of dollars. In this article we propose an algorithm which can support the process of group decision making relating to industrial automation, especially involving the selection of control and instrumentation equipment. The aim of this article is to look only at the algorithm's application and how it is applied. To this end, two test cases are used as examples: (1) selecting a local area network for installation in an academic environment; and (2) selecting an integrated control system for a real-world pulp and paper mill. Obtained results show that the algorithm leads to a satisfactory solution. A software form of the algorithm is being programmed for use as a decision support tool.     

A Fuzzy Multi-Criteria Decision Making Model for IS Student Group Project Assessment

To accommodate the criterion-referenced student group project assessment approach, this paper proposes a fuzzy group Multi-Criteria Decision Making (MCDM) model. The proposed model can be used to solve student group project assessment problem in particular and generic MCDM problems in general, where the criteria used are often different and can be scored with multiple preference formats. The proposed fuzzy group MCDM model supports seven different preference formats, including preference ordering, utility vector, linguistic term vector, selected subset, fuzzy selected subset, fuzzy preference relation, and normal preference relation. It has been firstly used in the context of Information Systems (IS) student group project assessment.     

Challenging Group Support Systems Research: The Case for Strategic Decision Making

Strategic decision making (SDM) often occurs in groups that can benefit from the use of group support systems (GSS). However, no comprehensive review of this logical intersection has been made. We explore this intersection by viewing GSS research through the lens of SDM. First, SDM is broadly characterized and a model of GSS-mediated SDM is produced. Second, we review empirical GSS research linking these findings to the characteristics of SDM. We conclude that GSS research has not produced sufficient knowledge about group history, heterogeneity, member experience, task type, time pressure, technology or tool effects, and decision consensus for a favorable evaluation of SDM in GSS groups. SDM in GSS groups challenges researchers to study the effects of group processes such as those just mentioned in a context that involves ongoing and established groups, political activity, and a multiplicity of tasks.     

A Practical Procedure for Group Decision Making under Incomplete Multiplicative Linguistic Preference Relations

The aim of this paper is to investigate a group decision making problem with incomplete multiplicative linguistic preference relations. We first define the concept of an incomplete multiplicative linguistic preference relation, and then develop a simple algorithm to extend each incomplete multiplicative linguistic preference relation to a complete multiplicative linguistic preference relation. Finally, we develop a practical procedure for group decision making under incomplete multiplicative linguistic preference relations, and give a numerical example to illustrate the developed procedure.     

An Interactive Approach to Multiple Attribute Group Decision Making with Multigranular Uncertain Linguistic Information

The multiple attribute group decision making (MAGDM) problems having multiple sources of uncertain linguistic information assessed in different linguistic label sets are investigated. The existing linguistic labels in a linguistic label set are uniformly and symmetrically distributed, but in many real-life situations, the unbalanced linguistic information appears due to the nature of the linguistic variables used in the problems (Herrera and Herrera-Viedma, Proceedings of 4th international workshop on preferences and decisions, Trento, Italy, 2003). In this paper, we first define some unbalanced linguistic label sets, and then develop some transformation functions to unify the given multigranular linguistic labels in a unique linguistic label set without loss of information. Moreover, we utilize the uncertain linguistic weighted averaging operator to aggregate all individual uncertain linguistic decision matrices into a collective one, and define two similarity measures, one for measuring the similarity degree between each pair of uncertain linguistic variables, and the other for checking the consensus degrees among the individual uncertain linguistic decision matrices and the collective uncertain linguistic decision matrix. Finally, we develop an interactive approach to MAGDM with multigranular uncertain linguistic information and illustrate the developed approach with an application example.     

Group Decision Support Using Fuzzy Cognitive Maps for Causal Reasoning

Cognitive maps have been used for analysing and aiding decision-making by investigating causal links among relevant domain concepts. A fuzzy cognitive map (FCM) is an extension of a cognitive map with the additional capability of representing feedback through weighted causal links. FCMs can be used as tools for both static as well as dynamic analysis of scenarios evolving with time. An FCM represents an expert's domain knowledge in a form that lends itself to relatively easy integration into a collective knowledge base for a group involved in a decision process. The resulting group FCM has the potential to serve as a useful tool in a group decision support environment. An appropriate methodology for the development and analysis of group FCMs is required. A framework for such a methodology consisting of the development and application phases is presented.     

Ethical Decision Making: A Comparison of Computer- Supported and Face-to-face Group

This study compares computer-supported groups, i.e., groups using group support systems (GSS), and face-to-face groups using ethical decision-making tasks. A laboratory experiment was conducted using five-person groups of information systems professionals. Face-to-face (FTF) and GSS groups were compared in terms of their decision outcomes and group members' reactions. The results revealed that computer-supported and face-to-face groups showed no significant difference in terms of the decision outcomes of choice shift and decision polarity. However, FTF groups reached their decisions more quickly and they were more successful in attaining group consensus than GSS groups. Subjects evaluated face-to-face communication more favorably than GSS interaction on most post-group measures related to perceived group processes and satisfaction. Despite these outcomes, some possibilities for using GSS technology in an ethical decision making context are examined.     

Decisional Power in Group Decision Making: A Note on the Allocation of Group Members' Weights in the Multiplicative AHP and SMART

Many complex decisions are made in a group environment, where the decision is made jointly by a committee or group structure. The individual group members are often not equally qualified to contribute equitably to the decision process, or may have different saliences (desires) to influence the decision. A quantitative knowledge of the players' decisional power is useful for better understanding of the group decision process, and could even be used in weighted voting within the group structure. We adapt the REMBRANDT suite of decision models (multiplicative AHP and SMART) to measure decisional power in groups, and we generalise this to cater for the case where power itself is deemed to be multidimensional in nature, and the case of uncertain subjective judgements of power amongst group members.     

AHP-Group Decision Making: A Bayesian Approach Based on Mixtures for Group Pattern Identification

This paper proposes a Bayesian estimation procedure to determine the priorities of the Analytic Hierarchy Process (AHP) in group decision making when there are a large number of actors and a prior consensus among them is not required. Using a hierarchical Bayesian approach based on mixtures to describe the prior distribution of the priorities in the multiplicative model traditionally used in the stochastic AHP, this methodology allows us to identify homogeneous groups of actors with different patterns of behaviour for the rankings of priorities. The proposed procedure consists of a two-step estimation algorithm: the first step carries out a global exploration of the model space by using birth and death processes, the second concerns a local exploration by means of Gibbs sampling. The methodology has been illustrated by the analysis of a case study adapted from a real experiment on e-democracy developed for the City Council of Zaragoza (Spain). Partially funded under the research project Electronic Government. Internet-based Complex Decision Making: e-democracy and e-cognocracy (Ref. PM2004-052) approved by the Regional Government of Aragon (Spain) as part of the multi-disciplinary projects programme.