Next Article in Journal
Redundancy in Systems Which Entertain a Model of Themselves: Interaction Information and the Self-Organization of Anticipation
Previous Article in Journal
Data Compression Concepts and Algorithms and Their Applications to Bioinformatics
Open AccessArticle

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.
Entropy 2010, 12(1), 53-62; https://doi.org/10.3390/e12010053
Received: 25 September 2009 / Accepted: 16 November 2009 / Published: 5 January 2010
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. View Full-Text
Keywords: multi attribute decision making; entropy; imprecise data multi attribute decision making; entropy; imprecise data
MDPI and ACS Style

Lotfi, F.H.; Fallahnejad, R. Imprecise Shannon’s Entropy and Multi Attribute Decision Making. Entropy 2010, 12, 53-62.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop