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Entropy 2010, 12(1), 53-62; doi:10.3390/e12010053
Article
Imprecise Shannon’s Entropy and Multi Attribute Decision Making
Department of Mathematics, Science & Research Branch, Islamic Azad University (IAU), Tehran, Iran
* Author to whom correspondence should be addressed.
Received: 25 September 2009 / Accepted: 16 November 2009 / Published: 5 January 2010
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Abstract: 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.
Keywords: multi attribute decision making; entropy; imprecise data
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MDPI and ACS Style
Lotfi, F.H.; Fallahnejad, R. Imprecise Shannon’s Entropy and Multi Attribute Decision Making. Entropy 2010, 12, 53-62.
AMA StyleLotfi FH, Fallahnejad R. Imprecise Shannon’s Entropy and Multi Attribute Decision Making. Entropy. 2010; 12(1):53-62.
Chicago/Turabian StyleLotfi, Farhad Hosseinzadeh; Fallahnejad, Reza. 2010. "Imprecise Shannon’s Entropy and Multi Attribute Decision Making." Entropy 12, no. 1: 53-62.