SCIS & ISIS
SCIS & ISIS 2008
Session ID : SA-F2-4
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A Method for Solving Fuzzy MCDM Problems with Dependent Criteria
*Jaroslav RamikRadomir Perzina
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Abstract
The main goal of every economic agent is to make a good decision, especially in economic environment with many investment alternatives and evaluation criteria. In this paper a new decision model based on analytic network process is proposed. Comparing to classical approach it is modified for solving the decision making problem with fuzzy pair-wise comparisons and a feedback between the criteria. The evaluation of the weights of criteria, the variants as well as the feedback between the criteria is based on the data given in pair-wise comparison matrices with fuzzy elements. Extended arithmetic operations with fuzzy numbers are proposed as well as ordering fuzzy relations to compare fuzzy outcomes. An illustrating numerical example is presented to clarify the methodology. A special SW as Microsoft Excel add-in named FVK was developed for applying the proposed method. Comparing to other software products, FVK is free, able to work with fuzzy data and utilizes capabilities of widespread spreadsheet Microsoft Excel.
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© 2008 Japan Society for Fuzzy Theory and Intelligent Informatics
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