Journal
ENTROPY
Volume 12, Issue 1, Pages 53-62Publisher
MDPI
DOI: 10.3390/e12010053
Keywords
multi attribute decision making; entropy; imprecise data
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Finding the appropriate weight for each criterion is one of the main points in Multi Attribute Decision Making (MADM) problems. Shannon's entropy method is one of the various methods for finding weights discussed in the literature. However, in many real life problems, the data for the decision making processes cannot be measured precisely and there may be some other types of data, for instance, interval data and fuzzy data. The goal of this paper is the extension of the Shannon entropy method for the imprecise data, especially interval and fuzzy data cases.
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