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Fuzzy more isn't not less; it is not much less

conference contribution
posted on 2023-05-23, 02:51 authored by Malhotra, V
Fuzzy values are convenient way for representing measurements that are inherently uncertain. Clearly, two uncertain values can not be compared using the standard greater than operator - fuzziness would render many cases liable to incorrect outcomes. In this paper, we develop a risk-based model to set a threshold that can be used to minimise risk exposure from incorrect outcomes in comparisons involving fuzzy values.

History

Publication title

Proceedings of the 2001 International Joint Conference on Neural Networks

Editors

D Prokhorov

Pagination

1340-1344

ISBN

0-7803-7046-5

Department/School

School of Information and Communication Technology

Publisher

International Neural Networks Society

Place of publication

Washington, DC

Event title

International Joint Conference on Neural networks (IJCN01)

Event Venue

Washington, DC

Date of Event (Start Date)

2001-07-15

Date of Event (End Date)

2001-07-19

Repository Status

  • Restricted

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    University Of Tasmania

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    In Copyright

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