报告题目：Multi-choice goal programming with utility functions

报告人：张锦特, 台湾长庚大学教授

报告时间：2019年6月20日(周四) 10：00-

报告地点：数计学院2号楼309会议室

报告摘要：Goal programming (GP) has been, and still is, the most widely used technique for solving multiple-criteria decision problems and multiple-objective decision problems by finding a set of satisfying solutions. However, the major limitation of goal programming is that can only use aspiration levels with scalar value for solving multiple objective problems. In order to solve this problem multi-choice goal programming (MCGP) was proposed by Chang (2007). Following the idea of MCGP this study proposes a new concept of level achieving in the utility functions to replace the aspiration level with scalar value in classical GP and MCGP for multiple objective problems. According to this idea, it is possible to use the skill of MCGP with utility functions to solve multi-objective problems. The major contribution of using the utility functions of MCGP is that they can be used as measuring instruments to help decision makers make the best/appropriate policy corresponding to their goals with the highest level of utility achieved. In addition the above properties can improve the practical utility of MCGP in solving more real-world decision/management problems.

报告人简介：张锦特，台湾长庚大学特聘教授，林口长庚医院胸腔科研究员，林口长庚医院临床试验中心顾问。毕业于台湾交通大学信息管理研究所博士。曾获台湾杰出研究奖（相当于杰出青年科学基金项目），吴大猷先生纪念奖（相当于优秀青年科学基金项目）。担任Applied Soft Computing (SCI)特刊主编，Mathematical Problems in Engineering(SCI)责任编委，International Journal of Business and Information（ABI/INFROM）副主编。

张锦特教授的研究成果主要刊登于IEEE/ACM Transactions on Networking (CCF A类期刊)、IEEE Transactions on Fuzzy Systems、Neural Networks、OMEGA、Renewable & Sustainable Energy Review、International Journal of Production Economics、Expert Systems With Applications等中科院一区期刊、及European Journal of Operational Research、Transportation Research Part A, Transportation Research Part E等重要国际知名期刊。

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