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June 2016
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Manish
Aggarwal is a faculty in Information Systems area. His areas of research interest include Information Systems, Decision Sciences, Soft
Computing, Fuzzy Systems, Knowledge Representation under Uncertainty, Machine Learning,
Artificial Intelligence
manish@iima.ac.in manish@iima.ac.in
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Representing Uncertainty with Information SetsIn IEEE Transactions on Fuzzy Systems, 24(1), February 2016, 1-15(Online Reference: 10.1109/TFUZZ.2015.2417593)Manish Aggarwal and Madasu Hanmandlu We develop new methods for the representation
of uncertainty in the granularized information source values by making use of
the entropy framework in the possibilistic domain. An information-theoretic
entropy function is used to map the information source values to information
(entropy) values. We term a collection of such information values as an
information set. The information values are then used in an adaptive form of
this entropy function to formulate Shannon transforms. A few uncertainty
measures are derived from these transforms for the quantification of
uncertainty. Information set is also extended to other domains, such as
probabilistic, intuitionistic, and probabilistic-intuitionistic domains. A
biometric application is included to demonstrate the usefulness of the study.
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Abstracts of other articles published in refereed journals included in this issue
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Debjit Roy, Fabiana Tornese, Andres L. Carrano, Brian K. Thorn and Jennifer A. Pazour
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Ernesto Noronha, Premilla D’Cruz and Sarosh Kuruvilla
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Neharika Vohra and Rahul Chandra Sheel
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Poornima Varma and Akash Issar
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Jamus Jerome Lim and Sanket Mohapatra
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Rajesh Chandwani and Rahul Dey
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Viswanath Pingali, Federico Boffa and Francesca Sala
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Navdeep Mathur, Sejal Patel and Richard Sliuzas
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Ankur Sarin and Saravana Jaikumar
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Sachin Jayaswal, Navneet Vidyarthi and Vikranth Babu Tirumala Chetty
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Viswanath Pingali and Ratul Lahkar
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Amit Karna, Christian Landau and Miriam Sailer
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