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A PRICE-SETTING NEWSVENDOR MODEL UNDER CVAR DECISION CRITERION WITH EMERGENCY PROCUREMENT

Journal of Systems Science and Systems Engineering 2010年第1期19卷 85-104页

作者： Minghui XU school of Economics and management,Wuhan University,Wuhan 430072,China school of Economics and management Wuhan University Wuhan China

In this paper, we consider a newsvendor model in which a risk-averse manager faces a stochastic price-dependent demand in either an additive or a multiplicative form. An emergency purchase option is allowed after the realization of demand to satisfy the units that are short. By adopting Conditional value-at-risk （CVaR） as the decision criterion, we aim to investigate the optimal pricing and ordering decisions, and the effects of parameter changes in such a setting. We provide sufficient conditions for the uniqueness of the optimal policy for both demand models. We perforl~, comparative statics analysis to show how the optimal pricing and ordering decision behaves when changing parameters. We also compare our results with those of the newsvendor with a general utility function and with CVaR criterion under lost sales assumption. Our key results include：（i） For both demand models, the optimal selling price is decreasing in risk aversion. Hence, the optimal price of a risk-averse newsvendor is not greater than the optimal price of a risk-neutral newsvendor. （it） In contrary to the lost sales case, for the multiplicative demand model, the optimal order quantity may not be monotonic in risk aversion. Consequently, the optimal risk-averse order quantity may be lower or higher than the optimal risk- neutral counterpart. （iii） For the additive model, the optimal order quantity is strictly increasing in the emergency purchase price, while for the multiplicative model the optimal order quantity has no such a monotonic property. Some numerical examples are conducted to verify our claims and gain more insights about the risk-averse decision-making behaviors.

关键词： Newsvendor model inventory pricing risk aversion conditional value-at-risk

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ORDERED WEIGHTED DISTANCE MEASURE

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Journal of Systems Science and Systems Engineering 2008年第4期17卷 432-445页

作者： Zeshui XU~1 Jian CHEN~2 1 school of Economics and management,Southeast University,Nanjing,Jiangsu 210096,China 2 school of Economics and management,Tsinghua University,Beijing,100084,China school of Economics and management Southeast University Nanjing Jiangsu 210096 China school of Economics and management Tsinghua University Beijing 100084 China

The aim of this paper is to develop an ordered weighted distance(OWD) measure,which is the generalization of some widely used distance measures,including the normalized Hamming distance, the normalized Euclidean distance,the normalized geometric distance,the max distance,the median distance and the min distance,***,the ordered weighted averaging operator,the generalized ordered weighted aggregation operator,the ordered weighted geometric operator,the averaging operator,the geometric mean operator,the ordered weighted square root operator,the square root operator,the max operator,the median operator and the min operator are also the special cases of the OWD *** methods depending on the input arguments are given to determine the weights associated with the OWD *** prominent characteristic of the OWD measure is that it can relieve(or intensify) the influence of unduly large or unduly small deviations on the aggregation results by assigning them low(or high) *** desirable characteristic makes the OWD measure very suitable to be used in many actual fields,including group decision making,medical diagnosis, data mining,and pattern recognition,***,based on the OWD measure,we develop a group decision making approach,and illustrate it with a numerical example.

关键词： Group decision making ordered weighted distance(OWD) measure aggregation operator

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CABOSFV algorithm for high dimensional sparse data clustering

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Journal of University of Science and Technology Beijing 2004年第3期11卷 283-288页

作者： Sen Wu Xuedong Gao management school, University of Science and Technology Beijing, Beijing 100083, China Mgmt. Sch. Univ. of Sci. and Technol. Beijing Beijing 100083 China

An algorithm, Clustering Algorithm Based On Sparse Feature Vector (CABOSFV),was proposed for the high dimensional clustering of binary sparse data. This algorithm compressesthe data effectively by using a tool 'Sparse Feature Vector', thus reduces the data scaleenormously, and can get the clustering result with only one data scan. Both theoretical analysis andempirical tests showed that CABOSFV is of low computational complexity. The algorithm findsclusters in high dimensional large datasets efficiently and handles noise effectively.

关键词： clustering data mining sparse high dimensionality

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Adaptive neuro fuzzy inference system for classification of water quality status

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Journal of Environmental Sciences 2010年第12期22卷 1891-1896页

作者： Han Yan,Zhihong Zou,Huiwen Wang school of Economics and management,Beihang University,Beijing 100191,China [a] school of Economics management Beihang University Beijing 100191 China

An adaptive neuro fuzzy inference system was used for classifying water quality status of river. It applied several physical and inorganic chemical indicators including dissolved oxygen, chemical oxygen demand, and ammonia-nitrogen. A data set （nine weeks, total 845 observations） was collected from 100 monitoring stations in all major river basins in China and used for training and validating the model. Up to 89.59% of the data could be correctly classified using this model. Such performance was more competitive when compared with artificial neural networks. It is applicable in evaluation and classification of water quality status.

关键词： adaptive neuro fuzzy inference system artificial neural networks water quality status classification

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ENERGY FLOWS IN COMPLEX ECOLOGICAL SYSTEMS:A REVIEW

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Journal of Systems Science & Complexity 2009年第3期22卷 345-359页

作者： Jiang ZHANG Department of Systems Science,school of management,Beijing Normal University,Beijing 100875,China. Department of Systems Science School of Management Beijing Normal University Beijing 100875 China

Energy flow drives the complex systems to *** allometric scaling as the universalenergy flow pattern has been found in different scales of ecological *** reflects the generalpower law relationship between flow and *** underlying mechanisms of energy flow patterns areexplained as the branching transportation networks which can be regarded as the result of systematicoptimization of a biological target under *** flows in the ecological system may bemodelled by the food web model and population dynamics on the *** paper reviews thelatest progress on the energy flow patterns,explanatory models for the allometric scaling and modellingapproach of flow and network evolution dynamics in ***,the possibility of generalizingthese flow patterns,modelling approaches to other complex systems is discussed.

关键词： Allometric scaling energy flow flows in complex systems food web.

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Study on the Reliability Evaluation of Qualitative Indices in Multi-Objective Decision

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Journal of Systems Engineering and Electronics 2002年第2期13卷 60-63页

作者： Zhang Mingshan , Tang Xiaowo & He Dequan( school of Economics and management, Southwest University for Nationalities, Chengdu 610041, P.R.China school of management, University of Electronics Science and Technology, Chengdu 610054, P.R.China school of school of Economics and management Southwest University for Nationalities Chengdu 610041 P. R. China school of management University of Electronics Science and Technology Chengdu 610054 P. R. China school of Economics and management Huadong Polytechnic University Shanghai 200237 P. R. China

Qualitative indices in multi-objective decision can usually be evaluated and measured by mathematical methods or models, but the obtained results are sometimes inaccurate because of fuzziness of indices. To improve the accuracy and reliability of the evaluation results, set-value statistic principle is applied, and accordingly four evaluation methods are obtained. Meanwhile, these methods are compared briefly.

关键词： Evaluation Fuzzy sets Mathematical models Reliability

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Fuzzy Multi-Objective Decision Model of Supplier Selection with Preference Information

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Journal of Systems Engineering and Electronics 2001年第1期12卷 34-41页

作者： Chen Zhixiang school of management, Zhongshan University, Guangzhou 510275, P. R. China Ma Shihua & Chen Rongqiu school of management, Huazhong University of Science & Technology, Wuhan 430074, R R. China school of management Zhongshan University Guangzhou 510275 P. R. China school of management Huazhong University of Science & Technology Wuhan 430074 P. R. China

Supplier selection is a multi-objective decision problem, which must be considered many objectives, some objectives are qualitative, and others are quantitative. Meanwhile, manufacturer has preference for different suppliers. In this paper, a new multi-objective decision model with preference information of supplier is established. A practical example of supplier selection problem utilizing this model is studied. The result demonstrates the feasibility and effectiveness of the methods proposed in the paper.

关键词： Multi-objective Supplier selection FuzZy membership degree.

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An Application of Grey Clustering Method in the Sporting Clothing Style Evaluation

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Journal of Systems Engineering and Electronics 2001年第2期12卷 19-22页

作者： Chen Zhixiang school of management, Zhongshan University, Guangzhou 510275, P. R. China school of management Zhongshan University Guangzhou 510275 P. R. China

In this paper, a Grey clustering method is applied to the evaluation research of sporting clothing style, the result shows that the methods proposed in the paper is feasible and effective.

关键词： Grey clustering Sporting clothing Style Multi-criterion evaluation.

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Performance of information system implementation based on coupling-cohesion among subunits

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Progress in Natural Science:Materials International 2007年第5期17卷 607-613页

作者： Wang Tienan, Li Yijun and Wang Mingzhu (school of management, Harbin Institute of Technology, Harbin 150001, China) [a]school of management Harbin Institute of Technology Harbin China

The intermediate information system benefit and the coupling-cohesion of subunits are presented to study the performance of information system implementation. Based on the organizational information processing theory and the organizational behaviour theory, a theoretical model is established from the perspective of coupling-cohesion of subunits. The reliability and validity of the model are checked up with the structural equation models and the data collected with questionnaires. The results of the study give some theoretical and practical guidance.

关键词： information system coupling among subunits cohesion among subunits intermediate benefits.

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The Symmetric Banzhaf Value for Fuzzy Games with a Coalition Structure

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International Journal of Automation and computing 2012年第6期9卷 600-608页

作者： Fan-Yong Meng 1 Qiang Zhang 2 1 school of management,Qingdao Technological University,Qingdao 266520,China 2 school of management and Economics,Beijing Institute of Technology,Beijing 100081,China 1. school of management Qingdao Technological University Qingdao 266520 China 2. school of management and Economics Beijing Institute of Technology Beijing 100081 China

In this paper,a generalized form of the symmetric Banzhaf value for cooperative fuzzy games with a coalition structure is *** axiomatic systems of the symmetric Banzhaf value are given by extending crisp ***,we study the symmetric Banzhaf values for two special kinds of fuzzy games,which are called fuzzy games with multilinear extension form and a coalition structure,and fuzzy games with Choquet integral form and a coalition structure,respectively.

关键词： Cooperative fuzzy game coalition structure symmetric Banzhaf value multilinear extension Choquet integral.

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