Imprecise Shannon’s Entropy and Multi Attribute Decision Making
Copyright policy )Imprecise Shannon’s Entropy and Multi Attribute Decision Making
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.
- ISLAMIC AZAD UNIVERSITY Iran (Islamic Republic of)
- Islamic Azad University Central Tehran Branch Iran (Islamic Republic of)
- ISLAMIC AZAD UNIVERSITY Iran (Islamic Republic of)
- Islamic Azad University Janah Iran (Islamic Republic of)
multi attribute decision making, Measures of information, entropy, Management decision making, including multiple objectives, Science, Physics, QC1-999, Q, Astrophysics, Reasoning under uncertainty in the context of artificial intelligence, QB460-466, Fuzzy and other nonstochastic uncertainty mathematical programming, imprecise data, entropy, multi attribute decision making; entropy; imprecise data
multi attribute decision making, Measures of information, entropy, Management decision making, including multiple objectives, Science, Physics, QC1-999, Q, Astrophysics, Reasoning under uncertainty in the context of artificial intelligence, QB460-466, Fuzzy and other nonstochastic uncertainty mathematical programming, imprecise data, entropy, multi attribute decision making; entropy; imprecise data
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