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Rajshekhar Sunderraman

Georgia State University

5 papers hereh-index 204.5k citations188 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.DB3
  • cs.LO1
  • math.GM1
affiliations
  • Georgia State University
Homepage
same name
  • Rajshekhar Sunderraman — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedInterval Neutrosophic Sets and Logic: Theory and Applications in Computing

453 citations · 461 across the 5 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2007

Neutrosophic Relational Data Model

Haibin Wang, Rajshekhar Sunderraman, Florentin Smarandache +1

In this paper, we present a generalization of the relational data model based on interval neutrosophic set. Our data model is capable of manipulating incomplete as well as inconsis…

cs.DB2004★ 2 cited

Paraconsistent Intuitionistic Fuzzy Relational Data Model

Rajshekhar Sunderraman, Haibin Wang

In this paper, we present a generalization of the relational data model based on paraconsistent intuitionistic fuzzy sets. Our data model is capable of manipulating incomplete as w…

cs.DB2004

An Extended Generalized Disjunctive Paraconsistent Data Model for Disjunctive Information

Haibin Wang, Hao Tian, Rajshekhar Sunderraman

This paper presents an extension of generalized disjunctive paraconsistent relational data model in which pure disjunctive positive and negative information as well as mixed disjun…

cs.DB2004

A Generalized Disjunctive Paraconsistent Data Model for Negative and Disjunctive Information

Haibin Wang, Yuanchun He, Rajshekhar Sunderraman

This paper presents a generalization of the disjunctive paraconsistent relational data model in which disjunctive positive and negative information can be represented explicitly an…

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