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1.
    
In this article, an integrated structure is provided for processing various forms of imprecise preference information in the context of multicriteria impact assessments. Linear programing formulations generate best‐fit value function models and associated ranking of alternatives, both when preferences are overdetermined (leading to potential inconsistencies) or when preference information is incomplete. In the latter context, the algorithm identifies a range of possible rank orders for the decision alternatives under consideration, consistent with the information provided. The approach is primarily aimed at structuring opinions of experts concerning the desirability of different actions in terms of technical aspects, intended as input into the final political decision‐making process. It is demonstrated that the approach described here can be implemented with modest levels of effort by the experts. Experience is reported with the approach in the context of soil sanitation problem in the Netherlands, in which experts expressed satisfaction with the resulting rank ordering of alternatives.  相似文献   

2.
    
Digital watermarking evaluation and benchmarking are challenging tasks because of multiple evaluation and conflicting criteria. A few approaches have been presented to implement digital watermarking evaluation and benchmarking frameworks. However, these approaches still possess a number of limitations, such as fixing several attributes on the account of other attributes. Well‐known benchmarking approaches are limited to robust watermarking. Therefore, this paper presents a new methodology for digital watermarking evaluation and benchmarking based on large‐scale data by using external evaluators and a group decision making context. Two experiments are performed. In the first experiment, a noise gate‐based digital watermarking approach is developed, and the scheme for the noise gate digital watermarking approach is enhanced. Sixty audio samples from different audio styles are tested with two algorithms. A total of 120 samples were evaluated according to three different metrics, namely, quality, payload, and complexity, to generate a set of digital watermarking samples. In the second experiment, the situation in which digital watermarking evaluators have different preferences is discussed. Weight measurement with a decision making solution is required to solve this issue. The analytic hierarchy process is used to measure evaluator preference. In the decision making solution, the technique for order of preference by similarity to the ideal solution with different contexts (e.g., individual and group) is utilized. Therefore, selecting the proper context with different aggregation operators to benchmark the results of experiment 1 (i.e., digital watermarking approaches) is recommended. The findings of this research are as follows: (1) group and individual decision making provide the same result in this case study. However, in the case of selection where the priority weights are generated from the evaluators, group decision making is the recommended solution to solve the trade‐off reflected in the benchmarking process for digital watermarking approaches. (2) Internal and external aggregations show that the enhanced watermarking approach demonstrates better performance than the original watermarking approach. © 2016 The Authors. Software: Practice and Experience published by John Wiley & Sons Ltd.  相似文献   

3.
岳立柱  李良琼 《控制与决策》2017,32(6):1143-1147
针对语言集结算子不能反映变量集结的离散程度问题,提出语言均值迭代算子.首先,通过定义证明该算子具有单调性、有界性和幂等性;然后,发现均值迭代算子在锚定集上的取值为一随机变量,在锚定集上能够测量算子集结的离散程度和集中程度;最后,在多准则的实际应用中,给出由均值迭代算子构造的应用公式和操作步骤. 通过实例分析,说明了以往语言集结算子的局限性以及所提出算子的有效性.  相似文献   

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5.
    
DoD, through acquisition, reform has pushed its R&D laboratories to change their approach to defense system development. Systems engineering methods and practices have become critical to the laboratories' near‐term success and long‐term survival. This study reports on the efforts of one such U.S. Navy R&D laboratory, the Coastal Systems Station (CSS), to improve its systems engineering capability by developing a comprehensive systems engineering training plan. The plan was developed by first performed an assessment of its systems engineering processes and knowledge. Then, CSS developed a systems engineering training plan to address the near‐term needs of its practicing and upcoming systems engineers. A multi‐criteria decision analysis tool, the Brown‐Gibson model, was used in the training selection process. Recommended training included an overview course and other in‐depth, topic‐specific courses as needed. © 2002 Wiley Periodicals, Inc. Syst Eng 5: 156–163, 2002  相似文献   

6.
    
We show that the rough set theory is a useful tool for analysis of decision situations, in particular multi-criteria sorting problems. It deals with vagueness in the representation of a decision situation, caused by granularity of the representation. The rough set approach produces a set of decision rules involving a reduced number of most important criteria. It does not correct vagueness manifested in the representation; instead, the rules produced are categorized into deterministic and non-deterministic. The set of decision rules explains the decision situation and may be used to support new decisions. An example illustrates the rough set analysis of a multi-criteria sorting problem.  相似文献   

7.
梁霞  刘政敏  刘培德 《控制与决策》2018,33(7):1303-1311
针对评价信息为Pythagorean不确定语言变量且指标具有关联性的多指标决策问题,考虑到决策者的参照依赖和损失规避等有限理性行为,提出一种基于广义Choquet积分的Pythagorean不确定语言TODIM方法.首先,给出Pythagorean 不确定语言变量的定义及其相关理论;其次,考虑决策者的参照依赖行为,计算各方案相对于其他方案关于各指标的收益或损失值;再次,考虑决策者的损失规避行为,集成指标关联情形下方案的收益或损失值,得到每个方案相对于其他各个方案的个体感知优势度;最后,计算各方案的总体感知优势度,并依据总体感知优势度进行方案排序.一个雾霾污染治理的算例验证了所提出方法的实用性和有效性.  相似文献   

8.
The output performance of a manufacturing system depends on its operational continuity. However, a manufacturing system can stop for a short time or it can be out of service for a long time due to crucial problems such as poor performance of old machines, unexpected breakdowns or faulty plant and system design. Many firms try to restructure their manufacturing systems to avoid these crucial problems and to be more efficient, profitable and better organized. However, the decision to begin the process of restructuring is a difficult and critical choice for most decision makers due to the fact that the decision threshold of the process is ambiguous. This paper proposes a hybrid methodology for the decision makers who will decide on restructuring a manufacturing system. The proposed methodology provides crucial information for the decision makers combining fuzzy logic approach and reliability analysis.  相似文献   

9.
基于AHP和模糊综合评判的投资决策应用研究   总被引:1,自引:1,他引:1  
在对常用于多目标决策问题的层次分析法、模糊综合评判、灰色系统和德尔菲法进行阐述分析的基础上,结合非赢利领域项目投资决策工作的具体实际情况,探讨了层次分析法和模糊综合评判在项目投资决策中的综合应用,从而较好地利用两种方法的优点,得到项目的综合价值.然后运用运筹学相关知识,通过建立线性规划模型来反映影响投资安排的外在条件,对待选项目进行筛选,完成计算机自动决策,为最终投资安排提供一个较为规范、科学的辅助决策依据.  相似文献   

10.
对于基于AHP的多准则分析过程,存在不一致区间判断的复杂评估问题.通过有下限和上限的区间数表示元素之间的比较比率,构造模糊约束集合矩阵,引入模糊集的隶属度函数表示对各种优先权矢量的满意程度,利用线性规划求解具有最大满意度的优先权矢量,得出候选者的总体优先顺序,并举例说明了应用该方法的计算过程.  相似文献   

11.
In this article, a multicriteria financial evaluation system for the assessment of company performance and viability is proposed. The main advantage of the proposed system is that it combines qualitative and quantitative (financial) evaluation criteria. Company evaluation is performed by calculating a total score for each company based on its performance on every criterion and by ranking the companies from best to worst according to their total score. The system may also sort the companies into groups. The system capabilities are illustrated by a study of a group of 25 companies.  相似文献   

12.
    
Hydroelectric systems no longer stay aside from conflicts in the use of water and facilities. As water and good sites become scarce, negotiation on multiple uses of hydro resources and sharing of costs and gains is a need. This paper gives an overview of quantitative tools designed to facilitate settlement of contentions in Brazilian hydroelectric systems. Two case studies are discussed, addressing scheduling policies for different utilities operating on the same stream and the operation of hydroplants when a variety of other users step into the scene. A framework of multiple criteria optimization is adopted in both cases, with solution approaches and computation engines tailored for each problem.  相似文献   

13.
    
Abstract: Decision makers always lay great emphasis on performance evaluation upon a group of peer business units to pick out the best performer. Standard data envelopment analysis models can evaluate the relative efficiency of decision‐making units (DMUs) and distinguish efficient ones from inefficient ones. However, when there are more than one efficient DMU, it is impossible to rank all of them solely according to standard efficiency scores. In this paper, a new method for fully ranking all DMUs is proposed, which is based on the combination of each efficient DMU's influence on all the other DMUs and the standard efficiency scores. This method is effective in helping decision makers differentiate all units' performance thoroughly and select the best performer.  相似文献   

14.
    
The management of distributed software development projects presents many challenges. One of them happens right at the start of the project and consists of the allocation of tasks between remote teams. When allocating a task to a site, the project manager takes into account several factors such as technical knowledge of staff and proximity to the client. The project manager usually takes this decision in a subjective way. The verbal decision analysis is an approach based on solving problems through multicriteria qualitative analysis, which means it considers the analysis of subjective criteria. This paper describes the application of verbal decision analysis methods ORdinal CLASSification and ZAPROS III‐i to classify and rank the most relevant factors that the project managers should take into account when allocating tasks in projects of distributed software development.  相似文献   

15.
The effectiveness of precisely predicting whether a corporation will fall into a decline stage is an emerging topic in financial decision making. Faulty decision making by managers can cause a higher possibility of financial failure. Thus, this study introduces a model that incorporates manifold learning and hybrid mechanisms to yield appropriate financial support for users. We generate the hybrid mechanisms through multiple combination strategies. However, it is unknown what kinds of combination strategy can achieve optimal performance. This task can be solved systematically by using an MCDM algorithm. The results indicate that the “classification + classification” combination strategy attains an outstanding performance.  相似文献   

16.
    
Many decision problems in real-world deal with conflicting criteria, uncertainty and imprecise information. Some also allow a group of decision makers (DMs) to make their opinions independently. Multi-criteria decision making (MCDM) is a well known decision method that can make the quality of group multiple criteria decisions better by creating a more explicit, rational and efficient process. A group of MCDM models known as “outranking methods” have been used to rank a set of alternatives. ELECTRE I is an outranking method which is simple, but provides partial ranking. So we consider VIKOR and try to mitigate this problem with regard to relations between VIKOR and ELECTRE. The objective of this paper is to extend ELECTRE I method based on VIKOR to rank a set of alternatives versus a set of criteria to show the decision maker’s preferences.  相似文献   

17.
    
This contribution reviews critically the existing entropy measures for probabilistic hesitant fuzzy sets (PHFSs), and demonstrates that these entropy measures fail to effectively distinguish a variety of different PHFSs in some cases. In the sequel, we develop a new axiomatic framework of entropy measures for probabilistic hesitant fuzzy elements (PHFEs) by considering two facets of uncertainty associated with PHFEs which are known as fuzziness and nonspecificity. Respect to each kind of uncertainty, a number of formulae are derived to permit flexible selection of PHFE entropy measures. Moreover, based on the proposed PHFE entropy measures, we introduce some entropy-based distance measures which are used in the portion of comparative analysis. Eventually, the proposed PHFE entropy measures and PHFE entropy-based distance measures are applied to decision making in the strategy initiatives where their reliability and effectiveness are verified.  相似文献   

18.
    
The Analytic Hierarchy Process (AHP) is one of the popular methods to support human decision making. Prioritization method leading to the possibility of rank reversal is still one of the unsettled issues of the AHP, although many applications of this method have been made. In this study, 10 important prioritization methods are reviewed and compared. To evaluate the fitness of the prioritization operators (POs), on the basis of existing PO measurement criteria, this research proposes the Root Mean Penalty Weighted Square Variance (RMPWSV) as a reasonable measurement criterion. Graphical solution demonstrates the computational concept for the RMPWSV. On the basis of the RMPWSV, two Least Penalty Optimization (LPO) POs are proposed as the new perspectives for solving the prioritization problems: Least Product of Penalty and Direct Squares (LPPDS) and Least Product of Penalty and Weighted Squares (LPPWS). The comprehensive numerical analyses verify that LPPDS is the fittest PO with respect to the RMPWSV. To demonstrate improvement of the proposed method, a medical decision problem for organ transplantation is revised by using 11 developed POs and two proposed POs with respect to RMPWSV measurement. LPPDS is the ideal PO, instead of Eigenvector method, to generate a priority vector for a decision problem in various fields, such as social science, politics, business, finance, medical treatment, resource management, and engineering management.  相似文献   

19.
    
Configuration evaluation is a key technology to be considered in the design of multiple aircrafts formation(MAF)configurations with high dynamic properties in engineering applications.This paper deduces the relationship between relative velocity,dynamic safety distance and dynamic adjacent distance of formation members,then divides the formation states into collision-state and matching-state.Meanwhile,probability models are constructed based on the binary normal distribution of relative distance and relative velocity.Moreover,configuration evaluation strategies are studied by quantitatively analyzing the denseness and the basic capabilities according to the MAF collision-state probability and the MAF matching-state probability,respectively.The scale of MAF is grouped into 5 levels,and previous lattice-type structures are extended into four degrees by taking the relative velocities into account to instruct the configuration design under complex task conditions.Finally,hardware-in-loop(HIL)simulation and outfield flight test results are presented to verify the feasibility of these evaluation strategies.  相似文献   

20.
    
The use of fuzzy set theory in the analytic hierarchy process (AHP) has gained popularity in recent years as part of the multiple criteria decision-making (MCDM) process to more realistically reflect human judgment. However, due to the nature of fuzzy calculations, this situation imposes more computational load. The aim of this study is to propose methods for obtaining accurate weights from fuzzy pairwise comparison matrices with the least amount of computational load possible. In this context, two different fuzzy AHP (FAHP) methods based on fuzzy numbers ranking methods have been proposed and these proposed methods are compared with commonly accepted FAHP methods. Magnitude-based fuzzy AHP (MFAHP), which is one of the proposed methods, has outperformed all other methods according to accurate weight and computational load. Although the other proposed method, called the total difference-based fuzzy AHP (TDFAHP), gave better results than the frequently used Chang's fuzzy extent analysis method, it could not produce more accurate weight results than many other methods in general. But performance analysis shows that it is as good as the MFAHP in terms of computational load.  相似文献   

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