no code implementations • 7 Jul 2013 • Arindam Chaudhuri, Kajal De
The techniques are also compared with different Artificial Intelligence based heuristics for ETP with respect to best and mean cost as well as execution time measures on Carter benchmark datasets to illustrate its effectiveness.
no code implementations • 7 Jul 2013 • Arindam Chaudhuri, Kajal De
In particular, application of this Problem in NP- Hard Problems has a remarkable significance.
no code implementations • 7 Jul 2013 • Arindam Chaudhuri, Kajal De, Dipak Chatterjee
The paradigm is thus used to develop a rule extraction algorithm.
no code implementations • 7 Jul 2013 • Arindam Chaudhuri, Kajal De, Dipak Chatterjee, Pabitra Mitra
The multivalued nature of Fuzzy Sets allows handling of uncertainty and vagueness involved in the cost values of each cells in the transportation table.
no code implementations • 7 Jul 2013 • Arindam Chaudhuri, Kajal De
They are then defuzzified by the centre of area method to obtain crisp regression coefficients in the second phase.
no code implementations • 26 Apr 2013 • Arindam Chaudhuri, Kajal De, Dipak Chatterjee
To the best of our knowledge this is the first work of the Systems of Linear Algebraic Equations using Neuro-Fuzzy Modeling.
no code implementations • 26 Apr 2013 • Arindam Chaudhuri, Kajal De, Dipak Chatterjee
The Fuzzy Modeling has been applied in a wide variety of fields such as Engineering and Management Sciences and Social Sciences to solve a number Decision Making Problems which involve impreciseness, uncertainty and vagueness in data.