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http://dx.doi.org/10.5394/KINPR.2005.29.1.059

On the Adjustment of Weight of Multiple Decision Making Group Problems  

Yeo Ki-Tae (Department of Distribution and Trade Woosuk University)
Ryu Hyung-Geun (Center for Intelligent & Integrated Port Management Systems, Dong-A University)
Lee Hong-Girl (Department of Logistics System Engineering, National Korea Maritime University)
Publication Information
Journal of Navigation and Port Research / v.29, no.1, 2005 , pp. 59-64 More about this Journal
Abstract
MDMG(Multiple Decision-Making Group) problems comprise those of UDMG(Unit Decision-Making Group) which contradict each other. For the evaluation problem of port competitiveness, it has the complicated evaluation characteristics of multi-strata-complex and multi-attributes. Especially, it becomes typical MDMG problems in the evaluation which a great number of decision makers such as shipping companies, freight forwarders, logistics companies and researchers participate in This evaluation of complex problems needs the compensated process of weight which rationally unites heterogeneous preferences of each of groups. In this respect, the purpose of this study is to remove the uncertainty of the UDMG using the theory of DS (Dempster-Shafer) and present the integrated weight through the level process.
Keywords
MDMG(Multiple Decision-Making Group); UDMG(Unit Decision-Making Group); Uncertainty Process; DS (Dempster-Shafer); Level Process;
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  • Reference
1 여기태 (2003), 퍼지평가 알고리즘을 이용한 연안지역개발에서 나타나는 이해상충조정에 관한 연구, 한국지역개발학회, 제15권 1호, pp .651-192   과학기술학회마을
2 여기태 (2004), 한국과 중국의 경쟁상황을 고려한 항만경쟁력 구성요소 및 평가구조 도출에 관한 연구, 한국항만경제학회, 2004년도 춘계학술대회, pp. 1-17
3 Cook W., Kress M. (1985), Ordinal ranking with intensity of preference, Management Science, 31, 26-32   DOI   ScienceOn
4 Fan Z. P., Ma J., Zhang Quan. (2002), An approach to multiple attribute decision making based on fuzzy preference information on alternatives, Fuzzy Sets and Systems, 131(1), 101-106   DOI   ScienceOn
5 Goicoechea, A., Hansen, D R, Duckstein L (1982), Mutiobjective Decisions Analysis with Engineering and Business Application, John Wiley and Sons, New York
6 Hwang C. L., Yoon K. (1981), Multiple Attribute Decision Making Methods and Applications, Springer, Berlin
7 Kahneman D., Slovic P., Tversky A. (1983), Judgement under uncertainty, Cambrige University Press, Cambrige
8 Kruskal J. B. (1964), Nonmetric multidimensional scaling a numerical method., Psychometrika, 29, 115-129   DOI
9 Lim, B. T. (2000), A Study on the Development and Application of Fuzzy Evaluation Algorithm to Complex System, Unpublished PhD Thesis, Korea Maritime University
10 Srinivasan V., Shocker A. D. (1973), Linear programming techniques for multidimensional analysis of preference, Psychometrika, 38, 337-369   DOI
11 Yang J. B., Singh, M. G. (1994a), An Evidential Reasoning Approach for Multiple-Attribute Decision Making with Uncertainty, IEEE TRANSACTIONS ON SYSTEM, MAN, AND CYBERNETICS, 24(1), 1-18   DOI   ScienceOn
12 Yang J. B., Sen P. (1994b), A General Multi-Level Evaluation Process for Hybrid MADM with Uncertainty, IEEE TRANSACTIONS ON SYSTEM, MAN, AND CYBERNETICS, 24(10), 1458-1472   DOI   ScienceOn