检索结果-内蒙古大学图书馆

Fuzzy multi-objective optimization for optimum allocation in multivariate stratified sampling with quadratic cost and parabolic fuzzy numbers

引用

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2017年第12期87卷 2372-2383页

作者： Gupta, Neha Bari, Abdul SGT Univ Fac Commerce & Management Gurgaon Haryana India Aligarh Muslim Univ Dept Stat & Operat Res Aligarh Uttar Pradesh India

This article deals with the uncertainties in a multivariate stratified sampling problem. The uncertain parameters of the problem, such as stratum standard deviations, measurement costs, travel costs and total budget of the survey, are considered as parabolic fuzzy numbers and the problem is formulated as a fuzzy multi-objective nonlinear programming problem with quadratic cost function. Using -cut, parabolic fuzzy numbers are defuzzified and then the compromise allocations of the problem are obtained by fuzzy programming for a prescribed value of . To demonstrate the utility of the proposed problem a numerical example is solved with the help of [LINGO User?s Guid. Lindo Systems Inc., 1415 North Dayton Street, Chicago,Illinois-60622, (USA), 2013] software and the derived compromise optimum allocation is compared with deterministic and proportional allocations.

关键词： Fuzzy numbers fuzzy programming multi-objective programming compromise allocation stratified sampling travel cost 90C70 90C29 90C30 49M37

来源：评论

学校读者我要写书评

暂无评论

Decision Based on Fuzzy multi-objective programming Method of High-Tech Investment Portfolio

Decision Based on Fuzzy Multi-Objective Programming Method o...

引用

International Conference on Advanced Materials and Computer Science

作者： Wang, Ting Li, Lifeng N China Elect Power Univ Dept Econ & Management Baoding 071003 Peoples R China

ISBN: (纸本)9783037850978

The expected rate of earnings and risk of high-tech projects are very fuzzy, and investors hope to get the expected rate of earnings maximization and risk minimization. Therefore, this paper establishes the model of fuzzy multi-objective programming method to select an optimal portfolio scheme. On the one hand, the objectives risk can be scattered, on the other hand investors can get ideal earnings. The example shows that this method to solve problems of portfolio investment decision is feasible and effective.

关键词： Fuzzy multi-objective programming Investment Portfolio High-tech

来源：评论

学校读者我要写书评

暂无评论

Game theory versus multi-objective model for evaluating multi-level structure by using data envelopment analysis

引用

INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT 2017年第4期12卷 245-255页

作者： Rezaee, Mustafa Jahangoshai Shokry, Mahnush Urmia Univ Technol Fac Ind Engn Orumiyeh Iran

Data envelopment analysis (DEA) is a well-known approach to measuring operations performance of decision-making units (DMUs). Moreover, the balanced scorecard (BSC) is a methodology for strategic planning of organizations and measuring their internal performance. DEA generally uses quantity measures, whereas BSC applies quality measures. In the real world, DMUs usually have complex structures such as multi-level or hierarchical structures. In these structures, there are multiple levels and each level utilizes inputs to produce outputs separately, where the outputs of the previous level are the inputs to the next level. In the present paper, we apply BSC to the design of a multi-level structure. BSC encompasses the four perspectives of finance, customers, internal processes, and learning & growth. Furthermore, we apply DEA to multi-stage or hierarchical structures based on BSC. For this purpose, two different approaches, the cooperative model versus the multi-objective model, are proposed. Cooperative models such as bargaining games are game theoretic approaches to evaluate DMUs. In this paper, the DEA-game model uses the bargaining concept to link perspectives in BSC, while each perspective is considered separately as an objective in the multi-objective DEA model. In addition, two approaches are compared based on the related results. We also employ data on Iranian cement companies to show the different capabilities of each approach. Our findings demonstrate that the DEA-game model is capable of differentiating the cement companies from each other more effectively.

关键词： Data envelopment analysis bargaining game multi-level structures multi-objective programming balanced scorecard operations performance

来源：评论

学校读者我要写书评

暂无评论

K-means Algorithm Based on Quasi Ideal Point Method

K-means Algorithm Based on Quasi Ideal Point Method

引用

Chinese Automation Congress (CAC)

作者： Liu, Hui-Ming Bai, Jie Gan, Chen-Ming Qingdao Univ Sci & Technol Inst Automat & Elect Engn Qingdao Peoples R China Qingdao Univ Sci & Technol Network Secur & Informat Construct Off Qingdao Peoples R China

ISBN: (纸本)9781538635247

In traditional K-means, the target function only considered the intra-cluster similarities and did not take into account the differences among categories. In order to take into account both the firmness in the same cluster and the dispersion between different clusters, a new objective function based on ideal point is given, and the K-means algorithm based on quasi ideal point method is provided. A density-based approach is used to initialize clustering centers. Experimental results show that the improved algorithm obtains more accurate clustering solutions.

关键词： K-means multi-objective programming Ideal Point Method Density-based approach

来源：评论

学校读者我要写书评

暂无评论

Using supply chain visibility and cost for supplier selection: a mathematical model

引用

INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT 2017年第3期12卷 196-205页

作者： Yousefi, Samuel Mahmoudzadeh, Hadi Rezaee, Mustafa Jahangoshai Urmia Univ Technol Fac Ind Engn Orumiyeh Iran

Improving supply chain performance is desirable for both practitioners and academics. In this regard, supply chain visibility is a crucial issue and has drawn much attention during recent years. Hence, this study examines the impact of visibility in the supplier selection problem by presenting a multi-objective approach. The global criterion method has been utilized to integrate the triple objectives of visibility maximization, defective or delayed parts minimization and finally cost minimization by assigning equal weights to the mentioned objectives. Meanwhile, minimizing the total number of defective or delayed parts has a significant positive role on supply chain performance and therefore it is considered as an independent objective. Furthermore, supply chain costs are considered more extensively in this study and incorporate the main inventory costs including buyer costs and supplier costs, according to the supply chain visibility. Afterwards, the global criterion method function is minimized under the constraints of budget limitation, fulfilment of entire demand, satisfying the minimum level of demand provided by each supplier and the production capacity of each supplier. Then, a numerical example is provided to illustrate the applicability of the presented multi-objective approach. From the final results it is perceivable that visibility enhancement is a desirable goal for supply chain members, in spite of higher expenditure.

关键词： Supplier selection cost management visibility multi-objective programming

来源：评论

学校读者我要写书评

暂无评论

A multi-objective location-allocation optimization for sustainable management of municipal solid waste

引用

Environment Systems and Decisions 2017年第3期37卷 289-308页

作者： Yu, Hao Solvang, Wei Deng Department of Industrial Engineering Faculty of Engineering Science and Technology UiT The Arctic University of Norway Postboks 385 Lodve Langes gate 2 Narvik 8505 Norway

The location problem of treatment and service facilities in municipal solid waste (MSW) management system is of significant importance due to the socioeconomic and environmental concerns. The consideration of waste treatment costs, environmental impact, greenhouse gas (GHG) emissions, social fairness as well as other relevant aspects should be simultaneously taken into account when a MSW management system is planned. Development of sophisticated decision support tools for planning MSW management system in an economic-efficient and environmental friendly manner is therefore important. In this paper, a general multi-objective location-allocation model for optimally managing the interactions among those conflicting factors in MSW management system is proposed. The model is comprised of a three-stage conceptual framework and a mixed integer mathematical programming. The inclusion of environmental impact and GHG emission objectives push the output of the model tightening toward more environmentally friendly and sustainable solutions in MSW management. The application of this model is demonstrated through an illustrative example, and the computational efficiency of the programming is also tested through a set of incremental parameters. Latter in this paper, a comparison with previous case studies of MSW system design is presented in order to show the applicability and adaptability of the generic model in practical decision-making process, and the perspectives of future study are also discussed. © 2017, Springer Science+Business Media New York.

关键词： Environmental impact Location-allocation problem Mixed integer programming MSW multi-objective programming Municipal solid waste Sustainable development Waste management

来源：评论

学校读者我要写书评

暂无评论

Enhancing community based health programs in Iran: a multi-objective location-allocation model

引用

HEALTH CARE MANAGEMENT SCIENCE 2017年第4期20卷 485-499页

作者： Khodaparasti, S. Maleki, H. R. Jahedi, S. Bruni, M. E. Beraldi, P. Univ Calabria Dept Math & Comp Sci Arcavacata Di Rende Italy Shiraz Univ Technol Fac Math Shiraz Iran Univ Calabria Dept Mech Energy & Management Engn Arcavacata Di Rende Italy

Community Based Organizations (CBOs) are important health system stakeholders with the mission of addressing the social and economic needs of individuals and groups in a defined geographic area, usually no larger than a county. The access and success efforts of CBOs vary, depending on the integration between health care providers and CBOs but also in relation to the community participation level. To achieve widespread results, it is important to carefully design an efficient network which can serve as a bridge between the community and the health care system. This study addresses this challenge through a location-allocation model that deals with the hierarchical nature of the system explicitly. To reflect social welfare concerns of equity, local accessibility, and efficiency, we develop the model in a multi-objective framework, capturing the ambiguity in the decision makers' aspiration levels through a fuzzy goal programming approach. This study reports the findings for the real case of Shiraz city, Fars province, Iran, obtained by a thorough analysis of the results.

关键词： Community based organization Location theory Hierarchical facility system multi-objective programming Data envelopment analysis

来源：评论

学校读者我要写书评

暂无评论

The composition and the weak-link approaches to Network Data Envelopment Analysis

The composition and the weak-link approaches to Network Data...

引用

作者： Koronakos Grigorios University Of Piraeus

学位级别：博士

The systematic performance evaluation of the organizations as well as the target setting are key aspects for its proper operation and viability. Thus, the adoption of evaluation methods is necessary, which are capable of taking into account all the environmental factors of the organization, identifying the inefficient production processes and suggesting adequate ways to improve them. Such a method is Data Envelopment Analysis (DEA), which is the most popular non-parametric technique for assessing the efficiency of homogeneous decision making units (DMUs) that use multiple inputs to produce multiple outputs. The DMUs may consist of several sub-processes (also known as stages, sub-units, divisions etc.) that interact and perform various operations. However, the classical DEA models treat the DMU as a "black box", i. e. a single stage production process that transforms some external inputs to final outputs. In such a setting, the internal structure of the DMU is not taken into consideration. Thus, the conventional DEA models fail to mathematically represent the internal characteristics of the DMUs, as well as they fall short to provide precise results and useful information regarding the sources that cause inefficiency. In order to take into account for the internal structure of the DMUs, recent methodological advancements are developed, which extend the standard DEA and constitute a new field, namely the network DEA. The network DEA methods are capable of reflecting accurately the DMUs' internal operations as well as to incorporate their relationships and interdependences. In network DEA, the DMU is considered as a network of interconnected sub-units, with the connections indicating the flow of intermediate products (commonly called intermediate measures or links). An indicative example of such a DMU is a supply chain, which has a network structure and is composed of several members whose performances affect the overall performance of the supply chain. Therefore, the

关键词： Data Envelopment Analysis (DEA) Network DEA composition approach weak-link approach multi-objective programming

来源：评论

学校读者我要写书评

暂无评论

Integration of fuzzy analytic hierarchy process and multi-objective fuzzy goal programming for selection problems: An application on roadheader selection

引用

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2015年第1期29卷 53-62页

作者： Ozfirat, Pinar Mizrak Ozfirat, Muharrem Kemal Malli, Tahir Kahraman, Bayram Celal Bayar Univ Dept Ind Engn Manisa Turkey Dokuz Eylul Univ Min Engn Dept Izmir Turkey

In this study a general methodology employing fuzzy analytic hierarchy process and fuzzy goal programming is developed for selection problems. The proposed methodology has two main sub-phases. In the first phase, fuzzy triangular numbers are used in order to represent the comparisons among decision criteria. Then lower and upper bounds as well as mid-values of priorities belonging to each decision criteria are computed. In the second phase these values and fuzzy triangular numbers are entered into the goal programming model and the model is solved to give the final priorities of decision criteria. Then the weighted sum of ratings for each selection alternative are found where the weights are final priorities from goal programming model. The proposed methodology is presented on a real life roadheader selection problem from mining industry. The results revealed that the methodology is easily applicable and provides satisfactory results.

关键词： Fuzzy analytic hierarchy process fuzzy goal programming multi-objective programming selection problems roadheader selection mining operations

来源：评论

学校读者我要写书评

暂无评论

基于NSGA-II的应急生产任务多目标优化模型及算法研究

引用

管理科学 2020年第4期

作者：巩玲君张纪海

重大突发事件发生后，若灾区的应急物资需求不能通过调用储备得到满足，则应急生产将成为灾区应急物资供应的重要保障手段。本文研究重大突发事件发生后应急物资生产任务的优化问题，重点关注原材料生产能力变化对完成应急生产任务的影... 详细信息

重大突发事件发生后，若灾区的应急物资需求不能通过调用储备得到满足，则应急生产将成为灾区应急物资供应的重要保障手段。本文研究重大突发事件发生后应急物资生产任务的优化问题，重点关注原材料生产能力变化对完成应急生产任务的影响，以应急生产任务完成时间最短、完成成本最低为决策目标，研究了包含多个供应商、多个制造商以及单个受灾点的应急物资生产任务多目标规划模型。运用在求解多目标规划问题时具有众多优势的非支配排序多目标遗传算法（NSGA-II）对模型进行求解。通过算例分析，NSGA-II可以得到较好的Pareto前沿，并且可以根据不同情况给出最优的应急物资生产和原材料保障方案。本文的研究还表明，要想更快完成应急生产任务，需要做好原材料、资金、电力、交通等各种要素的配套保障工作。

关键词：应急生产应急调度多目标规划 NSGA-Ⅱ算法　　emergency production emergency transportation multi-objective programming NSGA-II

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：