A DSS Approach for Ranking Multicriteria Alternatives
This paper proposes a decision support System (DSS) approach for solving multicriteria analysis (MA) problems. The imprecision and subjectiveness of the decision making process are modeled using fuzzy set theory. An MA algorithm based on the concepts of the degree of optimality and the ideal solution using linguistic values is developed for assessing the overall performance of each alternative across all criteria on which the selection decision is being made. A DSS framework is designed that facilitates the selection of appropriate linguistic variables in real decision situation and allows the decision maker (DM) to explore the inter- and infrarelationships between the criteria, the alternatives and the ranking outcome of the alternatives through which a better understanding of the problem and the behavior of the DM can be achieved. As a result, effective decision can be made.
Hepu Deng
School of Business Information Technology RMTT University GPO Box 2476V, Melbourne, Victoria, 3001 Australia
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
1588-1593
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）