检索结果-内蒙古大学图书馆

Evaluation and ranking of different gridded precipitation datasets for Satluj River basin using compromise programming and f-TOPSIS (October , 10.1007/s00704-020-03405-y, 2020)

引用

THEORETICAL AND APPLIED CLIMATOLOGY 2021年第1-2期143卷 115-117页

作者： Chowdhury, Bratati Goel, N. K. Arora, M. Indian Inst Technol Roorkee Dept Hydrol Roorkee 247667 Uttarakhand India Uttar Banga Krishi Viswavidyalaya Fac Technol Behar 736165 W Bengal India Natl Inst Hydrol Roorkee Roorkee 247667 Uttarakhand India

The original version of this article unfortunately contained mistakes. The proof corrections in Eq. 9 and Tables 3 and 5 were unfortunately not implemented.

关键词： Satluj Entropy compromise programming f-TOPSIS Spearman rank correlation coefficient Ranking

来源：评论

学校读者我要写书评

暂无评论

A composite indicator to measure sustainable water use in Portugal: A compromise programming approach

引用

JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022年 311卷 114791-114791页

作者： Freitas, Maria de Belem Costa Xavier, Antonio Fragoso, Rui Antunes, Carla MED Mediterranean Inst Agr Faro Portugal Univ Algarve Sci & Technol Fac Gambelas Campus Edf 8 P-8005139 Faro Portugal Univ Evora Largo Colegiais CEFAGE Ctr Adv Studies Management & Econ Evora Portugal Mediterranean Inst Agr Environm & Dev Evora Portugal

Clean water is an important resource for maintaining human life, economic activities, and ecosystems' survival. Nevertheless, its irregular distribution and occasional scarcity lead to the need to promote its sustainable use. To assess the current situation and the dynamics of sustainable water use, it is crucial to identify the main factors affecting it and to propose monitoring indicators. This paper develops an approach based on compromise programming to analyse water use sustainability at the municipal level, with a methodology that comprise a framework designed in five steps: 1 - indicators' choice;2 - indicators's weights;3 - definition of sustainability rankings with the application of a compromise programming approach;4-application of a GIS analysis;5 - identification of the main factors affecting sustainable water use. As a first result, the consensus weights of the chosen indicators were defined, indicating that the most important internal factors affecting sustainable water use are safe water, the percentage of housing served by water supply and water distributed by inhabitant. Then sustainability rankings at the municipality level were defined considering these factors. Finally, it was possible to conclude that tourism activity, income level, and young age population have a significant negative effect on sustainable water use, and municipal revenue has a positive effect. Irrigated farming shows a non-significant negative effect on sustainable water use. Population density, elderly population and education level did not show the expected effects on sustainable water use.

关键词： compromise programming Ranking analysis Sustainable water use Natural resources management

来源：评论

学校读者我要写书评

暂无评论

Solving the bi-objective capacitated p-median problem with multilevel capacities using compromise programming and VNS

引用

INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 2020年第1期27卷 361-380页

作者： Irawan, Chandra Ade Imran, Arif Luis, Martino Univ Nottingham Ningbo China Business Sch China Nottingham Univ Ningbo Zhejiang Peoples R China Inst Teknol Nas Dept Ind Engn Bandung 40124 Indonesia Univ Utara Malaysia Othman Yeop Abdullah Grad Sch Business Sintok Malaysia

A bi-objective optimisation using a compromise programming (CP) approach is proposed for the capacitated p-median problem (CPMP) in the presence of the fixed cost of opening facility and several possible capacities that can be used by potential facilities. As the sum of distances between customers and their facilities and the total fixed cost for opening facilities are important aspects, the model is proposed to deal with those conflicting objectives. We develop a mathematical model using integer linear programming (ILP) to determine the optimal location of open facilities with their optimal capacity. Two approaches are designed to deal with the bi-objective CPMP, namely CP with an exact method and with a variable neighbourhood search (VNS) based matheuristic. New sets of generated instances are used to evaluate the performance of the proposed approaches. The computational experiments show that the proposed approaches produce interesting results.

关键词： capacitated p-median problem bi-objective compromise programming VNS

来源：评论

学校读者我要写书评

暂无评论

A compromise programming approach for target setting in DEA

引用

ANNALS OF OPERATIONS RESEARCH 2020年第1期288卷 363-390页

作者： Lozano, Sebastian Soltani, Narges Dehnokhalaji, Akram Univ Seville Dept Ind Management Escuela Super Ingenieros Camino Descubrimientos S-N Seville 41092 Spain York Univ Sch Informat Technol Toronto ON Canada Aston Univ Aston Business Sch Operat & Informat Management Dept Birmingham B4 7ET W Midlands England

This paper presents a new data envelopment analysis (DEA) target setting approach that uses the compromise programming (CP) method of multiobjective optimization. This method computes the ideal point associated to each decision making unit (DMU) and determines an ambitious, efficient target that is as close as possible (using an l(p) metric) to that ideal point. The specific cases p = 1, p = 2 and p = infinity are separately discussed and analyzed. In particular, for p = 1 and p = infinity, a lexicographic optimization approach is proposed in order to guarantee uniqueness of the obtained target. The original CP method is translation invariant and has been adapted so that the proposed CP-DEA is also units invariant. An l(p) metric-based efficiency score is also defined for each DMU. The proposed CP-DEA approach can also be utilized in the presence of preference information, non-discretionary or integer variables and undesirable outputs. The proposed approach has been extensively compared with other DEA approaches on a dataset from the literature.

关键词： Data envelopment analysis Target setting compromise programming Ideal point l(p) metric

来源：评论

学校读者我要写书评

暂无评论

Optimal emission management of photovoltaic and wind generation based energy hub system using compromise programming

引用

JOURNAL OF CLEANER PRODUCTION 2021年 281卷 124333-124333页

作者： Miao, Pei Yue, Zhaojuan Niu, Tong Alizadeh, As'ad Jermsittiparsert, Kittisak China Univ Min & Technol Sch Management Xuzhou 221116 Jiangsu Peoples R China Chinese Acad Sci Ctr Comp Network Informat Beijing 100190 Peoples R China Zhengzhou Univ Ctr Energy Environm & Econ Res Zhengzhou 450001 Peoples R China Univ Zakho Coll Engn Dept Mech Engn Zakho Iraq Henan Univ Econ & Law MBA Sch Zhengzhou Peoples R China Kasetsart Univ Polit Sci Assoc Bangkok Thailand

The pollution of fossil fuels uses and low efficiency performance of energy systems are the main issues which threaten the environment and cause extra cost. Many solutions are presented and the one which is performed in this study is using energy hub which is composed of several parts. Sub energy hub and combined cooling, heating and power combining with the renewable energies such as wind turbine and photovoltaic are the component parts of this novel energy hub. The optimum flow of energy plus using energy storage devices brings coordination and reliability to the system. The model proposed is multi-objective and the goal is to investigate the effects of accomplishment real-time based demand response program in reducing operation cost and CO2 emission. The mathematical methods like compromise programming and fuzzy approach are implemented to gain the Pareto solutions and obtain trade-off between economic and environmental performances. Two cases which are investigated in this paper are without and with demand response program. The linear model with mixed-integer programming is implemented in general algebraic modeling system to solve the proposed model. The comparison results illustrate that the operation cost and CO2 emission is decreased 4.05% and 1.52% respectively due to demand response program. (C) 2020 Published by Elsevier Ltd.

关键词： Heating hub and power hub Multi-objective model Max-min fuzzy technique compromise programming CO2 emission management

来源：评论

学校读者我要写书评

暂无评论

A compromise programming Application to Support Forest Industrial Plantation Decision-Makers

引用

FORESTS 2021年第11期12卷 1481页

作者： Nobre, Silvana Ribeiro Diaz-Balteiro, Luis Rodriguez, Luiz Carlos Estraviz Univ Sao Paulo Dept Adm Econ & Sociol Luiz Queiroz Coll Agr Av Padua Dias 11 BR-13418900 Piracicaba SP Brazil Univ Politecn Madrid ETS Ingn Montes Forestal & Med Nat Madrid 28040 Spain Univ Sao Paulo Dept Forest Sci Luiz Queiroz Coll Agr Av Padua Dias 11 BR-13418900 Piracicaba SP Brazil

The conflicts that arise between natural resources consumption and the desire to preserve them make the multicriteria decision theory necessary. Brazil, one of the 10 largest timber producers globally, uses optimization models that represent the growth of forests integrated with decision support systems. Brazilian forest plantation managers often face conflicts when continuously seeking efficiency gains (higher productivity at lower costs) and efficacy (higher profits with minimum social and environmental impacts). Managers of leading producing countries on timber, pulp, and fiberboard constantly interact to fine-tune industry processing demands vis-a-vis the demands of highly productive fast-growing forest plantations. The decision process in such cases seeks a compromise that accommodates short-term industry productivity optimization and long-term forestry production capacity. This paper aims to apply a forest management decision support system (FMDSS) to a case study that represents the challenges that industrial plantations in Brazil usually face. A vertically integrated pulp company situation was simulated to provide a real scenario. In this scenario, forest managers tend to shorten the rotations due to Brazil's usually high-interest rates;meanwhile, industrial managers tend to ask for longer ones due to the positive correlation between age and wood density. Romero(R), a Forest Management Decision Support System, developed by following the multi-criteria decision theory, was used to process the case study. Expressly, the hypothesis that mill managers initially have, that older ages rotation could improve mill production, was not confirmed. Moreover, mill managers lean towards changes in the short term, while the case study shows that changes in rotation size and genetic material take time, and decisions have to be made involving both interests: forest and mill managers.

关键词： multicriteria decision making forest management decision support system collaborative decision making compromise programming

来源：评论

学校读者我要写书评

暂无评论

A multicriteria approach based on Analytic Hierarchy Process and compromise programming in portfolio selection

引用

JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS 2020年第1-2期27卷 141-146页

作者： Santamaria, Rafael Aguaron, Juan Maria Moreno-Jimenez, Jose Univ Publ Navarra Dept Gest Empresas Pamplona Spain Univ Zaragoza Fac Econ & Empresa GDMZ Gran Via 2 Zaragoza 50005 Spain

The traditional approach to the portfolio selection problem, the mean-variance model, shows limitations because it assumes that any investment opportunity could be meaningfully measured in terms of means and variances of returns. The model should include other criteria, based on liquidity, the characteristics of return distributions, or environmental factors. To incorporate in the model these additional relevant aspects of the problem, alternative methodologies are needed. This paper deals with the problem by using a multicriteria approach based on compromise programming and various options to incorporate the prior information (the norm and the criteria weights). A simplified version of the model has been applied to the stocks included in the Madrid Stock Market IBEX35 index. This article is dedicated to the memory of our colleague and friend Professor Rafael Santamaria, one of the most brilliant Spanish Professors of Finance, who passed away on June 18, 2018, at the age of 57.

关键词： Analytic Hierarchy Process compromise programming portfolio selection

来源：评论

学校读者我要写书评

暂无评论

Selection of gridded precipitation data for Iraq using compromise programming

引用

MEASUREMENT 2019年 132卷 87-98页

作者： Salman, Saleem A. Shahid, Shamsuddin Ismail, Tarmizi Al-Abadi, Alaa M. Wang, Xiao-jun Chung, Eun-Sung Univ Teknol Malaysia Fac Civil Engn Dept Hydraul & Hydrol Johor Baharu 81310 Malaysia Univ Basra Coll Sci Dept Geol Basra Iraq Nanjing Hydraul Res Inst Nanjing Jiangsu Peoples R China Seoul Natl Univ Sci & Technol Fac Civil Engn Seoul 01811 South Korea

Appropriate selection of gridded precipitation data is very important for the region where long-term precipitation observations are not available. An approach based on compromise programing (CP) is proposed to select the gridded precipitation data for Iraq, where precipitation gauges are very sparse. The performance of seven widely used gauge-based, reanalysis and remote sensing-based gridded monthly precipitation data were assessed using observed precipitation records of 41 stations located within and surrounding Iraq. Obtained results showed the superiority of different datasets in term of different statistical metrics, namely percentage of bias, normalized root-mean-square error, Nash-Sutcliff efficiency, modified index of agreement, volumetric efficiency, and skill score. However, combining all the indices using CP, the gauge-based Global Precipitation Climatology Centre (GPCC) precipitation data was found best in term of replicating observed precipitation at 21 out of 41 stations. Validation of results using different approaches revealed that the GPCC precipitation was able to replicate annual and seasonal mean and variability and probability distribution of observed precipitation. The study concludes that CP can be used to select appropriate gridded precipitation data by avoiding confusion arise from contradictory results obtained using different statistical metrics. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： compromise programming Gridded precipitation data Statistical indices Iraq

来源：评论

学校读者我要写书评

暂无评论

Assessing temporal complementarity between three variable energy sources through correlation and compromise programming

引用

ENERGY 2020年 192卷 116637-000页

作者： Canales, Fausto A. Jurasz, Jakub Beluco, Alexandre Kies, Alexander Univ Costa Dept Civil & Environm Calle 58 55-66 Barranquilla 080002 Atlantico Colombia MDH Univ Sch Business Soc & Engn Hogskoleplan 1 S-72220 Vasteras Sweden AGH Univ Sci & Technol Fac Management Dept Engn Management 30 Mickiewicza Ave PL-30059 Krakow Poland Univ Fed Rio Grande do Sul Inst Pesquisas Hidraul Av Bento Goncalves 9500Caixa Postal 15029 BR-91570901 Porto Alegre RS Brazil Goethe Univ Frankfurt Frankfurt Inst Adv Studies Ruth Moufang Str 1 D-60438 Frankfurt Germany

Renewable energies are deployed worldwide to mitigate climate change and push power systems towards sustainability. Nevertheless, the weather-dependent nature and variability of renewable energy sources often hinders their integration to national grids. The combination of different sources to profit from their beneficial complementarity has often been proposed as a partial solution to overcome these issues. This paper introduces a novel method for quantifying total temporal energetic complementarity between three different variable renewable sources, based on well-known mathematical techniques: correlation coefficients and compromise programming. It has the major advantage of allowing the simultaneous assessment of partial and total complementarity, as well as allowing for a linear assessment of complementarity. The method is employed to study the complementarity of wind, solar and hydropower generation on different temporal scales in a region of Poland. Results show that timescale selection has a determinant impact on the estimated value of the total temporal complementarity index. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Energetic complementarity Renewable energy Hybrid power systems Variable renewables compromise programming Correlation

来源：评论

学校读者我要写书评

暂无评论

Airline new route selection using compromise programming - The case of Taiwan-Europe

引用

JOURNAL OF AIR TRANSPORT MANAGEMENT 2019年 76卷 10-20页

作者： Chang, Yu-Chun Lee, Wei-Hao Wu, Chi-Hung Natl Taiwan Ocean Univ Dept Transportat Sci 2 Pei Ning Rd Keelung 20224 Taiwan

The decision to launch a new route has a huge effect on the outcomes of airlines in the market. In order to find potential destinations for airlines, this paper utilizes a compromise programming method for selecting direct flight routes. The selection framework comprises two objective functions, with one maximizing total revenue and the other minimizing total cost. A case studying Taiwan-European region destinations is interpreted in the analysis. The results indicate that four potential routes, including Madrid, Milan, Munich and Zurich should be added to the airlines' service destinations. Therefore, this research suggested that the airport authority could apply incentives scheme to attract carriers to open new routes and add flight frequencies to strengthen its competitiveness.

关键词： New route Airport Airline compromise programming

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：