P. S. Raghuvanshi

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In this letter we introduce bipolar radial basis function inferencing networks (BRBFNs) where nodes represent concepts and descriptive attributes, and connections approximate generic interconcept relational strengths in the interval [ 1 ,I]. The inference mechanism in such networks is based on a process which we call Ensemble Coherence Modulation (ECM) in(More)
Interpretive structural modeling for binary relations and fuzzy structural modeling for fuzzy relations restrict the relation defined on the system being modeled to be either transitive or fuzzy semitransitive. Also, no cycles are allowed in the formal sense. In this paper, we present a new generalized fuzzy structural modeling (GFSM) methodology which does(More)
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