Fuzzy Shadows in Knowledge Modeling

Kankana Chakrabarty; Sudarsan Nanda

doi:10.1145/1523103.1523138

Fuzzy Shadows in Knowledge Modeling

Kankana Chakrabarty, Sudarsan Nanda

STEM Education

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this paper, the notion of fuzzy shadows have been reviewed and the notions of cardinalities and restricted cardinalities of fuzzy shadows are discussed. Further, it is discussed that how tacit knowledge can be modeled by applying these notions for interpreting and formulating the fundamental complexities associated with certain group decision analysis problems.

Original language	English
Title of host publication	ICAC3 '09: Proceedings of the International Conference on Advances in Computing, Communication and Control
Editors	Srija Unnikrishnan, Sameer Hemmady, Sunil Surve
Place of Publication	New York, United States of America
Publisher	Association for Computing Machinery (ACM)
Pages	167-170
ISBN (Print)	9781605583518
DOIs	https://doi.org/10.1145/1523103.1523138
Publication status	Published - 2009
Event	ICAC3 '09: International Conference on Advances in Computing, Communication and Control - Mumbai, India Duration: 23 Jan 2009 → …

Conference

Conference	ICAC3 '09: International Conference on Advances in Computing, Communication and Control
City	Mumbai, India
Period	23/01/09 → …

Keywords

Information and Computing Sciences

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10.1145/1523103.1523138

https://hdl.handle.net/1959.11/5168

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title = "Fuzzy Shadows in Knowledge Modeling",

abstract = "In this paper, the notion of fuzzy shadows have been reviewed and the notions of cardinalities and restricted cardinalities of fuzzy shadows are discussed. Further, it is discussed that how tacit knowledge can be modeled by applying these notions for interpreting and formulating the fundamental complexities associated with certain group decision analysis problems.",

keywords = "Information and Computing Sciences",

author = "Kankana Chakrabarty and Sudarsan Nanda",

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doi = "10.1145/1523103.1523138",

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editor = "Srija Unnikrishnan and Sameer Hemmady and Sunil Surve",

booktitle = "ICAC3 '09: Proceedings of the International Conference on Advances in Computing, Communication and Control",

publisher = "Association for Computing Machinery (ACM)",

note = "ICAC3 '09: International Conference on Advances in Computing, Communication and Control ; Conference date: 23-01-2009",

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Chakrabarty, K & Nanda, S 2009, Fuzzy Shadows in Knowledge Modeling. in S Unnikrishnan, S Hemmady & S Surve (eds), ICAC3 '09: Proceedings of the International Conference on Advances in Computing, Communication and Control. Association for Computing Machinery (ACM), New York, United States of America, pp. 167-170, ICAC3 '09: International Conference on Advances in Computing, Communication and Control, Mumbai, India, 23/01/09. https://doi.org/10.1145/1523103.1523138

Fuzzy Shadows in Knowledge Modeling. / Chakrabarty, Kankana; Nanda, Sudarsan.
ICAC3 '09: Proceedings of the International Conference on Advances in Computing, Communication and Control. ed. / Srija Unnikrishnan; Sameer Hemmady; Sunil Surve. New York, United States of America: Association for Computing Machinery (ACM), 2009. p. 167-170.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy Shadows in Knowledge Modeling

AU - Chakrabarty, Kankana

AU - Nanda, Sudarsan

PY - 2009

Y1 - 2009

N2 - In this paper, the notion of fuzzy shadows have been reviewed and the notions of cardinalities and restricted cardinalities of fuzzy shadows are discussed. Further, it is discussed that how tacit knowledge can be modeled by applying these notions for interpreting and formulating the fundamental complexities associated with certain group decision analysis problems.

AB - In this paper, the notion of fuzzy shadows have been reviewed and the notions of cardinalities and restricted cardinalities of fuzzy shadows are discussed. Further, it is discussed that how tacit knowledge can be modeled by applying these notions for interpreting and formulating the fundamental complexities associated with certain group decision analysis problems.

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UR - https://www.scopus.com/pages/publications/70349105836

U2 - 10.1145/1523103.1523138

DO - 10.1145/1523103.1523138

M3 - Conference contribution

SN - 9781605583518

SP - 167

EP - 170

BT - ICAC3 '09: Proceedings of the International Conference on Advances in Computing, Communication and Control

A2 - Unnikrishnan, Srija

A2 - Hemmady, Sameer

A2 - Surve, Sunil

PB - Association for Computing Machinery (ACM)

CY - New York, United States of America

T2 - ICAC3 '09: International Conference on Advances in Computing, Communication and Control

Y2 - 23 January 2009

ER -

Fuzzy Shadows in Knowledge Modeling

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