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;
Received: 25 September 2009 / Accepted: 16 November 2009 / Published: 5 January 2010
PDF [217 KB, uploaded 24 February 2015]


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
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

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

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top