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dependent-chance programming Models for Capital Budgeting in Fuzzy Environments

Tsinghua Science and Technology 2008年第1期13卷 117-120页

作者：梁锐高金伍 Economy Industry and Business Management CollegeChongqing University School of Information Renmin University of China

Capital budgeting is concerned with maximizing the total net profit subject to budget constraints by selecting an appropriate combination of projects. This paper presents chance maximizing models for capital budgeting with fuzzy input data and multiple conflicting objectives. When the decision maker sets a prospective profit level and wants to maximize the chances of the total profit achieving the prospective profit level, a fuzzy dependent-chance programming model, a fuzzy multi-objective dependent-chance programming model, and a fuzzy goal dependent-chance programming model are used to formulate the fuzzy capital budgeting problem. A fuzzy simulation based genetic algorithm is used to solve these models. Numerical examples are provided to illustrate the effectiveness of the simulation-based genetic algorithm and the potential applications of these models.

关键词： fuzzy variable capital budgeting dependent-chance programming genetic algorithm

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Optimization of PERT Network and Compression of Time

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Journal of Southwest Jiaotong University(English Edition) 2005年第2期13卷 161-166页

作者：李平胡建兵顾新一 School of Management University of Shanghai for Science and Technology Shanghai 200093 ChinaDepartment of Economics and Management Luoyang College of Technology Luoyang 471003 China School of Management University of Shanghai for Science and Technology Shanghai 200093 China

In the traditional methods of program evaluation and review technique （PERT） network optimization and compression of time limit for project, the uncertainty of free time difference and total time difference were not considered as well as its time risk. The authors of this paper use the theory of dependent-chance programming to establish a new model about compression of time for project and multi-objective network optimization, which can overcome the shortages of traditional methods and realize the optimization of PERT network directly. By calculating an example with genetic algorithms, the following conclusions are drawn：（ 1 ） compression of time is restricted by cost ratio and completion probability of project; （2） activities with maximal standard difference of duration and minimal cost will be compressed in order of precedence; （3） there is no optimal solutions but noninferior solutions between chance and cost, and the most optimal node time depends on decision-maker＇s preference.

关键词： Time compression for project Network optimization dependent-chance programming Genetic algorithms PERT network

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A Win-win Strategy for Risk Decision-making under a BOT Scheme

A Win-win Strategy for Risk Decision-making under a BOT Sche...

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The Ninth International Conference on Information and Management Sciences

作者： Wenbei Zhan School of Energy & Power Engineering North China Electric Power University Beijing 102206 China

＜正＞The Decision-makings can be rather difficult when dealing with two or more interest groups,especially under certain *** this paper,we studied highway toll and capacity programming in a Build-Operate -Transfer scheme under demand *** solve the network design problem with sophisticated benefits relatives,we followed the contentment principle and developed a dependent-chance programming model. The investor receives a desired profit,and at the meantime,the government receives a desired social-welfare, which can be called a win-win ***, we use a genetic algorithm to simulate the model.

关键词： Contentment principle chance-dependent programming dependent-chance programming win-win strategy genetic algorithm

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