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June 2016
 
Manish Aggarwal

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
Abstracts of other articles published in refereed journals included in this issue
  • Probabilistic Variable Precision Fuzzy Rough Sets
    In IEEE Transactions on Fuzzy Systems, 24(1), February 2016, 29 – 39, (Online Reference: DOI: 10.1109/TFUZZ.2015.2426204)

    Manish Aggarwal

    In the real world, we often encounter varying membership grades due to varying information source values. The fuzzy rough set model is refurbished to develop probabilistic variable precision fuzzy rough set (P-VP-FRS) to deal with this imprecision. The main inspiration behind the proposed P-VP-FRS is our inability to precisely represent the imprecision, which necessitates generalization in the approximations. The adjustable parameters in P-VP-FRS control the tradeoff between the generalization and accuracy. A few measures for quality of approximation and generalization are proposed. The usefulness of P-VP-FRS is shown through a case study.
Abstracts of other articles published in refereed journals included in this issue
 
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