检索结果-内蒙古大学图书馆

The outputs estimation of a DMU according to improvement of its efficiency

APPLIED MATHEMATICS AND COMPUTATION 2004年第2期147卷 409-413页

作者： Jahanshahloo, GR Lotfi, FH Shoja, N Tohidi, G Razavyan, S Teacher Training Univ Dept Math Tehran Iran Islamic Azad Univ Dept Math Sci & Res Branch Tehran Iran

This paper develops the presented method by Yan et al. [Eur. J. Operat. Res. 136 (2002) 19]. In this paper, by using inverse data envelopment analysis model, a method to estimate output levels of a decision making unit is presented when some or all of its input entities are increased and its current efficiency level is improved. (C) 2002 Elsevier Inc. All rights reserved.

关键词： data envelopment analysis inverse DEA model multi-objective programming

来源：评论

学校读者我要写书评

暂无评论

Comment on "A hybrid multi-objective cultural algorithm for short-term environmental/economic hydrothermal scheduling" by Lu et al. [Energy Convers. Manage. 52 (2011) 2121-2134]

引用

ENERGY CONVERSION AND MANAGEMENT 2015年 99卷 414-417页

作者： Ahmadi, Abdollah Nezhad, Ali Esmaeel Heidari, Alireza Agelidis, Vassilios G. Univ New S Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia Islamic Azad Univ Marvdasht Branch Dept Elect Engn Marvdasht Iran

This paper aims to discuss the short-term hydrothermal scheduling problem [Energy Convers. Manage. 52 (2011) 2121-2134], while a Hybrid multi-objective Cultural Algorithm (HMOCA) has been employed to solve the presented problem. This problem has been proposed in a multi-objective framework with fuel cost and emission of thermal units as two objective functions aimed to be minimized, simultaneously. However, there are some inaccuracies made by the authors in the mentioned reference, while presenting the solutions. In this regard, the results obtained for the water discharge rate of hydro units and accordingly, the optimal values derived for the power produced by such units are inaccurate and must be corrected for the optimal hydrothermal scheduling. Therefore, the present paper first highlights these inaccuracies and afterwards, epsilon-constraint technique and lexicographic optimization are used to propose the correct solutions. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Hybrid multi-objective Cultural Algorithm Hydrothermal scheduling multi-objective programming Epsilon-constraint technique

来源：评论

学校读者我要写书评

暂无评论

MAGDM based on triangular Atanassov's intuitionistic fuzzy information aggregation

引用

NEURAL COMPUTING & APPLICATIONS 2017年第9期28卷 2687-2702页

作者： Wan, Shu-ping Lin, Li-Lian Dong, Jiu-ying Jiangxi Univ Finance & Econ Coll Informat Technol Econ & Technol Dev Dist 168 Shuang Gang East Rd Nanchang 330013 Jiangxi Peoples R China Jiangxi Univ Finance & Econ Sch Stat Nanchang 330013 Jiangxi Peoples R China Jiangxi Univ Finance & Econ Res Ctr Appl Stat Econ & Technol Dev Dist 168 Shuang Gang East Rd Nanchang 330013 Jiangxi Peoples R China

Triangular Atanassov's intuitionistic fuzzy number (TAIFN) has better ability to model fuzzy ill-defined quantity. The information aggregation of TAIFNs is of great importance in multi-attribute group decision-making (MAGDM). In this paper, some arithmetic aggregation operators for TAIFNs are defined, with the triangular Atanassov's intuitionistic fuzzy weighted average (TAIFWA) operator, ordered weighted average (TAIFOWA) operator and hybrid weighted average (TAIFHWA) operator included. Then we further investigate the Atanassov's triangular intuitionistic fuzzy generalized ordered weighted average (TAIFGOWA) operator and generalized hybrid weighted average (TAIFGHWA) operator. Some desirable and useful properties of these operators, such as idempotence, monotonicity and boundedness, are also discussed. For the MAGDM with TAIFNs and incomplete attribute weight information, a multi-objective programming model is constructed by minimizing total deviation between all alternatives and fuzzy positive ideal solution, which is transformed into a linear goal programming. Consequently, the attribute weights are objectively derived. Thereby, an innovated MAGDM method is proposed on the basis of the TAIFWA and TAIFGHWA operators. Finally, a green supplier selection example is provided to illuminate the practicability of the proposed method in this paper.

关键词： multi-attribute group decision-making Triangular Atanassov's intuitionistic fuzzy number Information aggregation operator Incomplete weight information multi-objective programming

来源：评论

学校读者我要写书评

暂无评论

Matrix-based network data envelopment analysis: A common set of weights approach

引用

SOCIO-ECONOMIC PLANNING SCIENCES 2024年 95卷

作者： Peykani, Pejman Esmaeili, Fatemeh Sadat Seyed Pishvaee, Mir Saman Rostamy-Malkhalifeh, Mohsen Lotfi, Farhad Hosseinzadeh Khatam Univ Fac Engn Dept Ind Engn Tehran Iran Iran Univ Sci & Technol Sch Ind Engn Tehran Iran Islamic Azad Univ Dept Math Sci & Res Branch Tehran Iran Istinye Univ Res Ctr Performance & Prod Anal Istanbul Turkiye

Performance measurement of decision-making units (DMUs) with network structure is one of the main challenges in data envelopment analysis (DEA) field. The main purpose of this paper is to propose a novel network data envelopment analysis (NDEA) approach based on matrix of efficiency, common set of weights (CSW), multiobjective programming (MOP), and goal programming (GP) technique for performance measurement of peer DMUs in two-stage network structure. The advantages of the proposed NDEA approach can be summarized as follows: comparing all DMUs and sub-DMUs on the same base, considering all internal structures and relations and capability to extending this for all network structures, linearity of the proposed models, unique efficiency decomposing without any need to consider multiplicative, additive or leader-follower relations between overall and stages efficiency. To illustrate the usefulness and applicability of the proposed approach we applied it to a real application of non-life insurance companies in Taiwan.

关键词： Network data envelopment analysis Common set of weights Efficiency matrix General two-stage structure multi-objective programming Insurance industry

来源：评论

学校读者我要写书评

暂无评论

AN AUTOMATED multi-objective INVIGILATOR-EXAM ASSIGNMENT SYSTEM

引用

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 2010年第2期9卷 223-238页

作者： Ozturk, Zehra Kamisli Ozturk, Gurkan Sagir, Mujgan Anadolu Univ Open Educ Fac TR-26470 Eskisehir Turkey Anadolu Univ Dept Ind Engn TR-26480 Eskisehir Turkey Eskisehir Osmangazi Univ Dept Ind Engn TR-26030 Eskisehir Turkey

This paper is concerned with the invigilator-exam assignment problem. A web-based Automated Invigilator Assignment System (AIAS), consists of a mathematical model;a database storing the information and web-based user interfaces is constructed to solve the problem by providing an environment for a practical usage. The core of the system is the mathematical model developed for obtaining the exact solution. We conclude the paper by presenting a real-life problem solved by the proposed approach.

关键词： Invigilator assignment multi-objective programming web-based automated assignment system

来源：评论

学校读者我要写书评

暂无评论

Addressing a sustainable supplier selection and order allocation problem by an integrated approach: a case of automobile manufacturing

引用

JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING 2021年第4期38卷 239-253页

作者： Beiki, Hossein Mohammad Seyedhosseini, Seyed V. Ponkratov, Vadim Olegovna Zekiy, Angelina Ivanov, Sergei Anatolyevich Islamic Azad Univ Naragh Branch Sch Ind Engn Naragh Iran Iran Univ Sci & Technol Dept Ind Engn Tehran Iran Sechenov First Moscow State Med Univ Dept Prosthet Dent Moscow Russia First Cossack Univ KG Razumovsky Moscow State Univ Technol & Managem RAZUMOVSKY MSUTM FCU Moscow Russia Financial Univ Govt Russian Federat Moscow Russia

This study introduces a novel integration of language entropy weight method (LEWM) and multi-objective programming (MOP) method to address a sustainable supplier selection and order allocation problem. To show the applicability of the proposed method, a real case study of automobile manufacturing is considered. First of all, the indicators of the proposed problem are defined. Then, the LEWM is considered to select the suppliers. To meet the standards of the sustainable development goals and the global supply chains for a case of automobile manufacturing system, an optimization model is established. The proposed model has three objectives including the total cost and the carbon emissions to be minimized while the procurement value to be maximized. These objectives are based on the economic, environmental, and social impacts simultaneously to address the triple bottom lines of sustainability. In addition, the proposed method improves the relationship between the supply chain practitioners and the potential suppliers to achieve the product development capabilities and qualities to achieve the sustainable development goals and the global supply chain trend.

关键词： Sustainable development goals global supply chain supplier selection order allocation language entropy weight method multi-objective programming

来源：评论

学校读者我要写书评

暂无评论

Study on non-linear planning model of green building energy consumption under multi-objective optimization

引用

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT 2022年第SUPPL 1期13卷 437-443页

作者： Fan, Miao Su, Danna Bhatt, Mohammed Wasim Mangal, Adarsh Zheng Zhou Railway Vocat & Tech Coll Coll Railway Engn Zhengzhou 450000 Henan Peoples R China Cent Univ Punjab Dept Comp Sci Engn Ghudda India Engn Coll Ajmer Dept Math Ajmer India

The research on economic balance and balanced competition is the initial concept that has reflected the idea of multi-objective programming which is usually encountered in the modeling of green buildings. This concept has laid the base in building a multi-objective optimization problem, for the establishment of model and calculation. By establishing a nonlinear planning model for determining the control target value of the project and by calculating the results, it is assumed that the sample is estimated as a very large likelihood, with consistency and non-biasing. In this paper several variables are analyzed and focus has been paid to weather conditions by making several interpretations: If the weather is good, the p(it) = 1, the engine can successfully complete the project amount of the plan;if constructed, when the weather is not conducive to engineering construction, then p(it) < 1 indicates that the increasing amount caused by the imbalance is used. Thus, the imbalance of resources has increased the entire project cost;the usage of closer approach to investment reflects less payment, small use of funds, therefore lower will be the cost. By establishing a model to determine the control target value of the project, the total amount of actual investment is 153.439 million Yuan, after the results calculation is optimized and the total cost after the initial progress plan is 5.34 million Yuan, combined with the project. Using NLP cost optimization is obtained with the overall construction efficiency.

关键词： Nonlinear programming (NLP) Model research Green building energy consumption multi-objective programming

来源：评论

学校读者我要写书评

暂无评论

A multi-objective particle swarm optimization algorithm for business sustainability analysis of small and medium sized enterprises

引用

ANNALS OF OPERATIONS RESEARCH 2020年第2期293卷 557-586页

作者： Ben Abdelaziz, Fouad Alaya, Houda Dey, Prasanta Kumar NEOMA Business Sch Rouen CampusBlvd Andre Siegfried F-76130 Mont St Aignan France IHE Paris Logist & Innovat Technol Res Ctr Paris France Tunis Business Sch Tunis Tunisia Aston Univ Aston Business Sch Birminghan England

Sustainability is the major issue of small and medium sized enterprises (SMEs) all across the globe. Although SMEs contribute to GDP of any country their negative contribution to environment is also significant. Prior studies on SMEs' sustainability mainly classified into three categories-the correlation between environmental and social practices with economic performance, sustainable supply chain performance measurement, and empirical research on sustainability practices. There is no study that objectively derives the sustainable structure of SMEs through optimal combination of sustainability practices (inputs) and performance (outputs). Therefore, the main objective of this paper is to generate optimal structure of sustainable SMEs by combining neural network and particle swarm algorithm while considering multi-objective framework. The study uses data from 54 SMEs of Normandy in France and 30 SMEs of Midlands in the UK. The data was gathered through questionnaire survey. As we do not have the explicit expression of our objective functions, we train a neural network on our databases in order to enable the generation of value of the different objectives for any profile. We design and run a multi-objective version of particle swarm optimization (MPSO) to generate efficient companies' structures. The weighted sum method is then used for different weights. The comparison of observed data and the results of the PSO analysis facilitates to derive improvement measures for each individual SME.

关键词： Neural network Particle swarm optimization multi-objective programming Sustainability practices and performance

来源：评论

学校读者我要写书评

暂无评论

Face recognition based on a novel linear discriminant criterion

引用

PATTERN ANALYSIS AND APPLICATIONS 2007年第3期10卷 165-174页

作者： Song, Fengxi Zhang, David Chen, Qinglong Wang, Jizhong Harbin Inst Technol Biocomp Res Ctr Shenzhen Grad Sch Sili 518055 Shenzhen Peoples R China New Star Res Inst Appl Tech Hefei 230031 Peoples R China Hong Kong Polytech Univ Kawloon Hong Kong Peoples R China

As an effective technique for feature extraction and pattern classification Fisher linear discriminant (FLD) has been successfully applied in many fields. However, for a task with very high-dimensional data such as face images, conventional FLD technique encounters a fundamental difficulty caused by singular within-class scatter matrix. To avoid the trouble, many improvements on the feature extraction aspect of FLD have been proposed. In contrast, studies on the pattern classification aspect of FLD are quiet few. In this paper, we will focus our attention on the possible improvement on the pattern classification aspect of FLD by presenting a novel linear discriminant criterion called maximum scatter difference (MSD). Theoretical analysis demonstrates that MSD criterion is a generalization of Fisher discriminant criterion, and is the asymptotic form of discriminant criterion: large margin linear projection. The performance of MSD classifier is tested in face recognition. Experiments performed on the ORL, Yale, FERET and AR databases show that MSD classifier can compete with top-performance linear classifiers such as linear support vector machines, and is better than or equivalent to combinations of well known facial feature extraction methods, such as eigenfaces, Fisherfaces, orthogonal complementary space, nullspace, direct linear discriminant analysis, and the nearest neighbor classifier.

关键词： Fisher linear discriminant small sample size problem pattern classification multi-objective programming binary linear classifier face recognition

来源：评论

学校读者我要写书评

暂无评论

Mitigating CO2 emissions by adjusting the power generation mix in Taiwan

引用

INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES 2005年第4期23卷 360-373页

作者： Hsu, George Chen, Tser-Yieth Natl Chung Hsing Univ Dept Appl Econ 250Kuo Kuang Rd Taichung 402 Taiwan Natl Chung Hsing Univ Dept Management Informat Syst Taichung 402 Taiwan Natl Dong Hwa Univ Dept Int Business Shoufeng Hua Lien Hsieng Taiwan

In this paper, we employ a multi-objective programming model to estimate the power generation mix trade-off between generation costs and CO2 emissions in Taiwan. Eight policy scenarios are simulated and compared to the reference and base cases. The empirical results show that, for the electricity sector, CO2 emissions in 2010 could be set at 120% of the 1990 level, by way of promoting cogeneration and gas-fired generation capacity. The estimated per unit mitigation cost of CO2 emission would be US$358/ton. The policy implications are discussed and limitation of this study is also presented.

关键词： Kyoto Protocol CO2 emission mitigation cost multi-objective programming power generation mix Taiwan

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：