检索结果-内蒙古大学图书馆

Game theory and fuzzy programming approaches for bi-objective optimization of reservoir watershed management: a case study in Namazgah reservoir

引用

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 2015年第9期22卷 6546-6558页

作者： Ucler, N. Engin, G. Onkal Kocken, H. G. Oncel, M. S. Gebze Tech Univ Dept Environm Engn TR-41400 Gebze Turkey Yildiz Tech Univ Fac Civil Engn Dept Environm Engn TR-34220 Istanbul Turkey Yildiz Tech Univ Fac Chem Met Engn Dept Math Engn TR-34220 Istanbul Turkey

In this study, game theory and fuzzy programming approaches were used to balance economic and environmental impacts in the Namazgah reservoir, Turkey. The main goals identified were to maximize economic benefits of land use and to protect water quality of reservoir and land resources. Total phosphorous load (kg ha(-1) year(-1)) and economic income (USD ha(-1) year(-1)) from land use were determined as environmental value and economic value, respectively. The surface area of existing land use types, which are grouped under 10 headings according to the investigations on the watershed area, and the constraint values for the watershed were calculated using aerial photos, master plans, and basin slope map. The results of fuzzy programming approach were found to be very close to the results of the game theory model. It was concluded that the amount of fertilizer used in the current situation presents a danger to the reservoir and, therefore, unnecessary fertilizer use should be prevented. Additionally, nuts, fruit, and vegetable cultivation, instead of wheat and corn cultivation, was found to be more suitable due to their high economic income and low total phosphorus (TP) load. Apart from agricultural activities, livestock farming should also be considered in the area as a second source of income. It is believed that the results obtained in this study will help decision makers to identify possible problems of the watershed.

关键词： Reservoir watershed management Game theory fuzzy programming Bi-objective optimization

来源：评论

学校读者我要写书评

暂无评论

An Effective Solution Approach to fuzzy programming with Application to Project Scheduling

引用

INTERNATIONAL JOURNAL OF fuzzy SYSTEMS 2018年第8期20卷 2383-2398页

作者： Zhang, Qianyu Zhou, Jian Wang, Ke Pantelous, Athanasios A. Shanghai Univ Sch Management Shanghai 200444 Peoples R China Monash Univ Dept Econometr & Business Stat Monash Business Sch 20 Chancellors WalkWellington RdClayton Campus Melbourne Vic 3800 Australia

In the present paper, a novel solution approach is proposed for a class of fuzzy programming models. In this direction, we prove that the lower and upper bounds of their fuzzy optimal objective values at a possibility level, a 2 0;1 , can be calculated solving a pair of crisp mathematical programming models. Thus, their membership functions are simulated enumerating the upper and lower bounds obtained from a series of a-level calculations. Motivated from real-world project scheduling applications, several numerical examples are considered to evaluate the accuracy, efficiency and applicability of our treatment. The results derived are compared with those of Chen and Tsai (Eur J Oper Res 212(2): 386-397, 2011) to demonstrate that our method is easier to be utilized, with lower computational complexity, nonetheless without losing its effectiveness. Finally, the new approach does not suffer from the limitation to be applicable only to linear programming models that makes it suitable for a wider range of models and applications.

关键词： fuzzy programming Solution approach Project scheduling Parametric programming

来源：评论

学校读者我要写书评

暂无评论

Violation analysis for solid waste management systems: an interval fuzzy programming approach

引用

JOURNAL OF ENVIRONMENTAL MANAGEMENT 2002年第4期65卷 431-446页

作者： Huang, YF Baetz, BW Huang, GH Liu, L Hunan Univ Canada China Ctr Energy & Environm Res Changsha 410082 Peoples R China Univ Regina Fac Engn Energy & Environm Program Regina SK S4S 0A2 Canada Tulane Univ Dept Civil & Environm Engn New Orleans LA 70118 USA Dalhousie Univ Dept Civil Engn Halifax NS B3J 1Z1 Canada

This paper introduces a violation analysis approach for the planning of regional solid waste management systems under uncertainty, based on an interval-parameter fuzzy integer programming (IPFIP) model. In this approach, several given levels of tolerable violation for system constraints are permitted. This is realized through a relaxation of the critical constraints using violation variables, such that the model's decision space can be expanded. Thus, solutions from the violation analysis will not necessarily satisfy all of the model's original constraints. Application of the developed methodology to the planning of a waste management system indicates that reasonable solutions can be generated through this approach. Considerable information regarding decisions of facility expansion and waste flow allocation within the waste management system were generated. The modeling results help to generate a number of decision alternatives under various system conditions, allowing for more in-depth analyses of tradeoffs between environmental and economic objectives as well as those between system optimality and reliability. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： decision-making environment fuzzy programming interval optimization planning regret analysis solid waste uncertainty

来源：评论

学校读者我要写书评

暂无评论

Robust Fully fuzzy programming with fuzzy Set Ranking Method for Environmental Systems Planning Under Uncertainty

引用

ENVIRONMENTAL ENGINEERING SCIENCE 2013年第6期30卷 280-293页

作者： Jin, Lei Huang, Guohe H. Wang, Li Wang, Xiuqian Xiamen Univ Technol Dept Environm Engn Xiamen Peoples R China Xiamen Univ Technol Dept Math & Phys Xiamen Peoples R China Univ Regina Fac Engn Regina SK S4S 0A2 Canada

This article proposes a new robust interactive interval fully fuzzy linear programming (RIIFFLP) method, using the fuzzy ranking method to find a balance between the requirements of constraints and the objective function of a fuzzy set function, as a technique for optimal decision-making under uncertainty. It considerably improved previous interval fuzzy linear programming (FLP) methods by using a new solution method named the robust two-step method (RTSM). The RTSM has a higher membership degree for the fuzzy subset, which allows interval results to stay within the boundaries of constraints. This RIIFFLP model was applied to a case study in municipal solid waste management. Results demonstrated that the solution obtained from the RIIFFLP model had more feasible results by comparison with existing FLP methods. The RIIFFLP also provided optimal interval solutions in different alpha levels that made decision making easier by simply choosing a suitable scenario. Therefore, the RIIFFLP model can be considered a better practical method for problem-solving when uncertainties are present.

关键词： fuzzy programming fuzzy ranking method interval linear programming municipal solid waste robust two-step method

来源：评论

学校读者我要写书评

暂无评论

fuzzy programming and Multi-Objectives Evaluation Model in the Supplier Relationship Management

Fuzzy Programming and Multi-Objectives Evaluation Model in t...

引用

3rd International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2007)

作者： Liang, Xiaobei Tang, Bingyong Tongji Univ Sch Management Shanghai 200092 Peoples R China Donghua Univ Glorious Sun Sch Business & Management Shanghai Peoples R China

ISBN: (纸本)9781424413119

In this paper, the fuzzy variation coefficients programming is discussed, and the multi-objectives evaluation method is put forward in the supplier relationship management, the major thoughts are: First choosing n different suppliers evaluation criterion to be a n-dimensions space, every suppliers information is a point in this space, then we can calculate the Euclid distance between these points and the best or worst point. Finally we sort the suppliers by the distance.

关键词： fuzzy programming multi-objectives evaluation supplier relationship management

来源：评论

学校读者我要写书评

暂无评论

Interactive fuzzy programming for multi-level 0-1 programming problems through genetic algorithms

引用

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 1999年第3期114卷 580-588页

作者： Sakawa, M Nishizaki, I Hitaka, M Hiroshima Univ Fac Engn Dept Ind & Syst Engn Hiroshima 7398527 Japan

In this paper, we propose interactive fuzzy programming for multi-level 0-1 programming problems through genetic algorithms. Our method is supposed to apply to hierarchical decision problems in which decision-making at each level is sequential from upper to lower level and decision makers are essentially cooperative. After determining the fuzzy goals of the decision makers at all levels, a satisfactory solution is derived efficiently by updating the satisfactory degrees of the decision makers at the upper level with considerations of overall satisfactory balance among all levels. An illustrative numerical example for three-level 0-1 programming problems is provided to demonstrate the feasibility of the proposed method. (C) 1999 Elsevier Science B.V. All rights reserved.

关键词： multilevel 0-1 programming problem fuzzy programming fuzzy goals genetic algorithms interactive method

来源：评论

学校读者我要写书评

暂无评论

A fuzzy Intercontinental Road-Rail Multimodal Routing Model With Time and Train Capacity Uncertainty and fuzzy programming Approaches

引用

IEEE ACCESS 2020年 8卷 27532-27548页

作者： Lu, Yue Lang, Maoxiang Sun, Yan Li, Shiqi Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100044 Peoples R China Beijing Jiaotong Univ Key Lab Transport Ind Big Data Applicat Technol C Beijing 100044 Peoples R China Shandong Univ Finance & Econ Sch Management Sci & Engn Jinan 250014 Peoples R China

This paper investigates a fuzzy intercontinental multimodal routing problem with uncertainties in time and train capacity. The transport network has characteristics of a long distance across continents and a road-rail multimodal routing, with four kinds of nodes and three kinds of arcs. Based on a variant of the vehicle routing problem, the tractor and semi-trailer routing problem is considered for the freight collection part for intercontinental trains. Additionally, the rail routing problem includes domestic direct trains, and intercontinental trains with hard time windows of departure. To make this problem more applicable to real-world circumstances, we describe two types of uncertainty parameters, including time and train uncertainties. Based on the transport conditions of stations, the time uncertainty is considered. Due to the multimodal transport stations' operating capacity and container collection methods, train capacity uncertainty is taken into account. Furthermore, we use solution methods based on the defuzzification approach to solve a fuzzy mixed integer linear programming model and generate a series of instances to verify the fuzzy model. We perform sensitivity analyses of the parameters. The results show that different quantities of intercontinental trains can change the performance by 10% to 20%. The objective function may decrease by more than 20% when the service level increases by 0.1. A sensitivity analysis of the time satisfaction confidence level also shows the trends of fuzzy time and the objective function. These analyses can give reference results about timeliness, transport resource allocation and other suggestions for the intercontinental multimodal transport routing problem.

关键词： Intercontinental road-rail multimodal transport routing problem time uncertainty capacity uncertainty fuzzy programming

来源：评论

学校读者我要写书评

暂无评论

Using a hybrid genetic algorithm-simulated annealing algorithm for fuzzy programming of reservoir operation

引用

HYDROLOGICAL PROCESSES 2007年第23期21卷 3162-3172页

作者： Chiu, Yu-Chen Chang, Li-Chiu Chang, Fi-John Natl Taiwan Univ Dept Bioenvironm Syst Engn Taipei 10764 Taiwan Tamkang Univ Dept Water Resources & Environm Engn Taipei Taiwan

We present a novel approach for optimizing reservoir operation through fuzzy programming and a hybrid evolution algorithm, i.e. genetic algorithm (GA) with simulated annealing (SA). In the analysis, objectives and constraints of reservoir operation are transformed by fuzzy progamming for searching the optimal degree of satisfaction. In the hybrid search procedure, the GA provides a global search and the SA algorithm provides local search. This approach was investigated to search the optimizing operation scheme of Shihmen Reservoir in Taiwan. Monthly inflow data for three years reflecting different hydrological conditions and a consecutive 10-year period were used. Comparisons were made with the existing M-5 reservoir operation rules. The results demonstrate that: (1) fuzzy programming could effectively formulate the reservoir operation scheme into degree of satisfaction a among the users and constraints;(2) the hybrid GA-SA performed much better than the current M-5 operating rules. Analysis also found the hybrid GA-SA conducts parallel analyses that increase the probability of finding an optimal solution while reducing computation time for reservoir operation. Copyright (C) 2007 John Wiley & Sons, Ltd.

关键词： genetic algorithm simulated annealing hybrid GA-SA reservoir operation fuzzy programming

来源：评论

学校读者我要写书评

暂无评论

Interactive fuzzy programming for two-level linear fractional programming problems

引用

fuzzy SETS AND SYSTEMS 2001年第1期119卷 31-40页

作者： Sakawa, M Nishizaki, I Hiroshima Univ Fac Engn Dept Ind & Syst Engn Higashihiroshima Hiroshima 7398527 Japan

This paper presents interactive fuzzy programming for two-level linear fractional programming problems with the essentially cooperative decision makers. Tn our interactive method, after determining the fuzzy goals of the decision makers at both levels, a satisfactory solution is efficiently derived by updating the satisfactory level of the decision maker at the upper level with considerations of overall satisfactory balance between both levels. In an interactive process, optimal solutions to the formulated programming problems are obtained by combined use of the bisection method and the phase one of linear programming and the variable transformation by Charnes and Cooper. An illustrative numerical example is provided to demonstrate the feasibility and efficiency of the proposed method. (C) 2001 Elsevier Science B.V. All rights reserved.

关键词： two-level linear fractional programming problem fuzzy programming fuzzy goals interactive methods

来源：评论

学校读者我要写书评

暂无评论

Handling uncertainty in Multi Regional Input-Output models by entropy maximization and fuzzy programming

引用

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 2014年 71卷 159-172页

作者： Caggiani, Leonardo Ottomanelli, Michele Dell'Orco, Mauro Tech Univ Bari DICATECh Dept Civil Environm & Bldg Engn & Chem I-70125 Bari Italy

Recently, great attention has been paid to the uncertainties associated with Multi Regional Input-Output (MRIO) models related to the available data sources. We propose a new method based on the entropy maximization principle and fuzzy optimization, which takes explicitly into account the uncertainty embedded in available information. It allows to estimate jointly the values of production level, the trade coefficients and the final demand values assuming the availability of incomplete and/or approximate data on some elements of trade coefficients and of final demand of goods. The model, applied to real scale problem, shows good estimation performances and robustness in different scenario. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Multi Regional Input Output Model Freight demand estimation Uncertainty fuzzy programming Entropy maximization

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：